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�Chapter 1��Basics of Supply Chain and Operations Management��

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Learning objectives

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Learning objectives for this Chapter:

  • What is transformation process and value creation?
  • What is operations and operations management?
  • What is supply chain and supply chain management?
  • Which decisions are in the scope of supply chain and operations management?
  • What are efficiency and resilience SCOM paradigms?
  • Which objectives are used to measure performance of supply chain and operations management?
  • Which qualifications should obtain a future supply chain and operations manager?
  • Which career paths are possible for supply chain and operations managers?

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Introductory case-study

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  • SCOM is everywhere! – production, logistics, healthcare, airlines, entertainment parks, passenger transport, hotels, building and construction,….

The best supply chain and operations manager in the world

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Operations and transformation process

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  • Labour
  • Machines
  • Materials
  • Information
  • Products
  • Services
  • Emissions

Transformation

process

Control

Value adding

Input

Output

Feedback

Operations is a function or system that transforms inputs (e.g., materials and labour) into outputs of greater value (e.g., products or services); in other words, the operations function is responsible to match demand and supply

Transformation process

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Operations and enterprise structure

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Organization

Operations

Finance

Marketing

The operations function along with marketing and finance is a part of any organization.

Operations management is involved with managing the resources to produce and deliver products and services efficiently and effectively. It deals with the design and management of products, processes, and services, and comprises the stages of sourcing, production, distribution and after sales.

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Operations performance measurement

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COSTS

QUALITY

TIME

Objective triangle

How to achieve maximum of the desirable goal with limited resources?

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Extended SCOM performance

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How to achieve maximum of the desirable goals in a sustainable and resilience way?

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Supply Chain

Supply chain is a network of organizations and processes wherein a number of various enterprises (suppliers, manufacturers, distributors and retailers) collaborate (cooperate and coordinate) along the entire value chain to acquire raw materials, to convert these raw materials into specified final products, and to deliver these final products to customers.

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Supply Chain Design

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Supply Chain Management (SCM)

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The first use of the term “SCM” is commonly related to the article “SCM: Logistics Catches up with Strategy” by Oliver and Weber (1982). They set out to examine material flows from raw material suppliers through supply chain to end consumers within an integrated framework that has been named SCM.

Supply Chain Management is a cross-department and cross-enterprise integration and coordination of material, information and financial flows to transform and use the supply chain resources in the most rational way along the entire value chain, from raw material suppliers to customers.

SCM is a collaborative philosophy and a set of methods and tools to integrate and coordinate local logistics processes and their links with the production processes from the perspective of the entire value chain and its total performance

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Supply Chain as an Integration Function

SCM integrated production and logistics processes

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Changes in competitive strategies

Customer orientation

Market globalization

Information society

Individual products

Reaction speed

Flexibility

Emerging markets

Outsourcing

Transportation increase

Internet

IT systems

New business concepts

Intra-organizational integration and inter-organizational coordination along the entire value-adding chain have a profound influence on profitability and competitiveness, rather than the local optimization of intra-organizational functions

Supply Chain Management

Why SCM?

“Supply chaining is one of the main drivers that would make the world more competitive on a global scale in 21st century” (T. Friedman)

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SCOM: Supply Chain and Operations Management

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SCOM as a bridge to match demand and supply

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Basic decisions in SCOM

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Case study „Chocolate Supply Chain“

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Basic decisions in SCOM

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  • Supplier Selection
  • Sourcing Strategy

Sourcing

Production

Distribution

IT

Strategy

Planning

Execution

  • Production Strategy

- Facility Location

STRATEGIC COLLABORATION

Collaboration Strategy; Risk Pooling; Supply Chain Organization; Contracting

  • Communication

(e.g., SupplyOn)

  • MRP /EOQ
  • ABC analysis

  • Aggregate Planning
  • MPS / Lot-Sizing

  • Distribution planning
  • Transport. planning

  • ERP
  • MES / WMS

- Ordering

  • Inventory Control

  • Scheduling
  • Sequencing

  • Vehicle routing
  • Tour planning

  • RFID
  • Barcodes/Odetta
  • Distribution Strategy

- Transportation Design

EXECUTION COORDINATION

Vendor-Managed Inventory / Supply Chain Event Management

PROCESS INTEGRATION

Demand Forecasting / Inventory Management / APS / JIT-JIS

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SCOM responsibilities

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The responsibilities of decision-makers in SCOM are really multi-faceted. The decision-making area in SCOM ranges from strategic to tactical and operative levels.

Strategic issues include, for example, determination of the size and location of manufacturing plants or distribution centres, decisions on the structure of service networks, factory planning, and designing the SC.

Tactical issues include such decisions as production or transportation planning as well as inventory planning.

Operative issues involves with production scheduling and control, inventory control, quality control and inspection, vehicle routing, traffic and materials handling, and equipment maintenance policies.

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SCOM House and Book Philosophy

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Trends and Challenges

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  • Risk Management and Resilience
  • Business Analytics
  • Information Technology (Big Data, Cloud computing, Industry 4.0, data mining, etc.)
  • Networking
  • Sustainability
  • Flexibility / Standardization
  • Simplification
  • Acceleration of Product Life-Cycles
  • Additive Manufacturing (3D Printing)

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Major paradigms in SCOM

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Major paradigms in SCOM

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Three major SCOM paradigms can be classified as follows:

Design-for-Efficiency: efficient and responsive SCs and operations are coined by lean and agile principles. The key idea of such leagile operations and SC designs is to utilize the available resources (i.e., material, time, capital, technology, and workforce) at the highest possible degree of efficiency to avoid waste and maximize profitability.

Design-for-Resilience: resilient SC and operations are designed to absorb unexpected, severe disruptions (e.g., natural disasters, fires at facilities, strikes, or pandemic outbreaks) and restore operations thereafter. Resilience helps mitigate the impact of disruptions using some redundancy (e.g., inventory, capacity buffers or back-up suppliers) and to recover to an original or even better performance later.

Design-for-Sustainability: sustainable supply chains and operations are designed to reduce the negative impacts of manufacturing and logistics on nature and society (e.g., CO2 emissions or unfair labor conditions). Sustainable supply chains and operations are built around the triple bottom line of “ecology – society – economics”.

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�Chapter 3��Processes, Systems, and Models

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http://global-supply-chain-management.de

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Learning objectives

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Learning objectives for this Chapter:

  • Interrelations between business processes, quantitative models, and information systems
  • Role of business process management in operations and supply chains
  • Role of managements information systems in SCOM
  • Management information technology, e.g., ERP, APS, WMS, RFID
  • Planning, problem, and decision
  • Role of models and modelling in decision-making
  • Quantitative methods of decision-making

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Introductory case-study

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AirSupply

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Process management

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Process is a content and logic sequence of functions or steps that are needed to create an object in a specified state.

Business process is a network of activities for accomplishing a business function. Processes have input and output parameters and may be tied to functional area or be cross-functional.

Today companies are organized on the process basis. As said by W. Edwards Deming (Professor at Columbia University; 1900-1993), “if you can‘t describe what are you doing as a process, you don‘t know what are you doing.“

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Business process management

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The basic concept for managing processes in an organization is called business process management (BPM). BPM contains a variety of tools, methodologies to analyze, design, and optimize processes. BPM comprises the following steps (Hammer and Champy, 1993):

  • Identify processes for change
  • Analyse existing processes
  • Design the new process
  • Implement the new process
  • Continuous measurement

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Process performance analysis

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Process performance

Costs

Quality

Flexibility

Time

Capacity

Sustainability

Risk

Production Costs

Service Level

Wastage

Utilization

Product Variety

CO2 Emission

Resilience

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Key performance indicators (KPI)

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Service Level

Capacity Utilization

Flow Time

Lead Time

Total customer orders

Total customer orders – Dropped cutomer orders

Customer order arrival

Production start

Production finish

Customer order delivered

Maximum capacity

Actually used capacity

%

%

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Business process modeling

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Process models describe the SCOM activities from an information processing perspective. Process modelling can be referred to as descriptive modelling and serves as an interface to information systems development. Process models can also be used to describe the workflow of decision–making processes.

  • SCOR (Supply Chain Operations Reference),
  • ARIS (Architecture of Information Systems),
  • UML (Unified Modelling Language) and
  • IDEF (Integration Definition for Function Modelling)

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SCOR

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source: www.supply-chain.org

The main value of SCOR is the standardized business process models. Besides, a coherent system of performance indicators is correlated with the process models. Finally, the data origins to calculate the performance indicators are explicitly provided.

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Role of Information Technology

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SCOM managers say:

Where information is missing, material is also missing.

A universal property of the management processes, irrespective of the problem domain, is that it has a notably informational nature, i.e. is connected, first of all, with the

  • collection,
  • processing,
  • analysis and
  • usage of data, information, and knowledge.

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Role of Information Technology

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Management Information Systems (MIS) collect, process, store, and distribute information in order to support decision making, coordination, and control.

MIS use data, i.e. are streams of raw facts. Information is data shaped into meaningful form.

For companies, MIS is instrument for creating value. Investments in right information technology (IT) can result in superior returns regarding productivity increases, revenue increases, and long-term strategic positioning.

  • MIS automate steps that were done manually previously.
  • MIS enable entirely new processes by changing flow of information, replace sequential steps with parallel steps, and support new business models.

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IT for SCOM

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Planning at the enterprise level

  • ERP (Enterprise Resource Planning)
  • MES (Manufacturing Execution Systems)
  • WMS (Warehouse Management Systems)

Planning and control for supply chain coordination

  • APS (Advanced Planning Systems)
  • TMS (Transportation Management Systems)
  • SCEM (Supply Chain Event Management)

Real-time control

  • RFID (Radio Frequency Identification)
  • T&T (Trace and Tracking)
  • ASN (Automated Shipping Notification)

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IT for SCOM

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Business intelligence and Industry 4.0

Big Data Analytics

Industry 4.0

Machine learning

Cloud computing

Supply chain communication and data interchange

EDI (Electronic Data Interchange)

E-Commerce

XML (Extensible Markup Language)

Mobile technologies, Android

Electronic payment systems with security services

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IT for SCOM

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Implementation of Information Technology

1. Issues of investments in IT infrastructure:

  • amount to spend on IT
  • IT can be bought, but also rented or used via cloud computing
  • IT can also be available via outsourcing.

2. Whatever option is selected, total cost of ownership (TCO) model for costs analysis should be used. It analyzes direct and indirect costs. Note that hardware and software costs account for only about 20% of TCO. Other costs include installation, training, support, maintenance, infrastructure, downtime, space, and energy.

3. IT project management. Activities in an IT project include planning work, assessing risk, estimating resources required, organizing the work, assigning tasks, controlling project execution, reporting progress, and analyzing results.

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ERP

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    • Enterprise resource planning (ERP) systems
    • Suite of integrated software modules and a common central database
    • Collects data from many divisions of firm for use in nearly all of firm’s internal business activities
    • Information entered in one process is immediately available for other processes

ERP

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ERP

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Source: Heizer/Render: Operations Management, 2013.

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ERP

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APS systems

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Further reading: Stadler H., Kilger C. Supply Chain Management and Advanced Planning.

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APS

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Source: Stadler H., Kilger C. (2008) Supply Chain Management and Advanced Planning, Springer

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APS and Erp: how it works

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APS

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Planning

Order release

Vehicle dispatch

Shop floor control

Monitoring

Adaptation

Execution

(real-time decisions)

Supply Chain Event Management

APS Systems and Real-Time Control

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RFID

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RFID in practice

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  • International Supply Chains
  • Trade: movements of goods
  • Warehousing
  • Traceability (food!)

+

-

Up-to-date data

Costs

Contact-free

Technical issues

„Bulk“-reading

Privacy issues

Protection / Security

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Future IT for SCOM

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Future IT for SCOM: Industry 4.0

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IT: Communication

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Example: SupplyOn

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Basic quantitative optimization methods in SCOM

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  • Simulation (e.g.,

system dynamics

Sourcing

Production

Distribution

SCM

Strategy

Planning

Execution

  • Linear Programming
  • Queuing theory
  • MILP
  • Game theory
  • System dynamics

  • Statisitical methods
  • Probability theory
  • Simulation

  • Linear Programming
  • Goal Programming

  • Linear Program.

  • Statisitics
  • Probability th.
  • System dynamics
  • Simulation (e.g.,

system dynamics

  • Integer programming
  • Genetic algorithms/ACO
  • Control theory

  • Integer programm.
  • Genetic algorithms
  • ACO

  • System dynamics
  • Control theory
  • Linear Programming

- Geometrical methods

Project management

Graph theory

Fuzzy / Robust / Stochastic optimization

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Decision-making principles

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Each management decision has two components. The first one is an analytical component and the second one is the behavioral component. The analytical part of the decisions is supported by the quantitative analysis business analytics methods. The behavioral part of the decisions is based on the intuition and leadership qualities of the decision-maker as well as on the external environment behavior prediction and reaction in regard to the decisions of suppliers, retailers, and customers.

Decision

Analytical component

Behavioral component

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Model-based decision making principle

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How to achieve a desirable goal with limited resources?

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What is a problem?

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For a problem to exist there must be an individual (or a group of individuals), referred to as the problem owner (decision maker):

  • is dissatisfied with the current state of affairs within a real-life context, or has some unsatisfied present or future needs, i.e. has some goals to be achieved or targets to be met;
  • is capable of judging when these goals, objectives, or targets have been met to a satisfactory degree; and
  • has control over some aspects of the problem situation that affect the extent to which goals, objectives, or targets can be achieved.

The elements of a problem: (1) the decision maker, (2) the decision maker's objectives and (3) the associated decision criterion, (4) the performance measure, (5) the control inputs or alternative courses of action, and (6) the context in which the problem occurs.

A problem is not an objective unit a priori – it has objective components and subjective treatment 🡪 objective problem and its model to make decision.

Note! – problems exist in systems: different interests, different criteria, etc.

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What is a decision?

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Decisions are subject to constraints which limit decision choices and objectives making some decisions preferred to others.

Objective and criterion:

Objective – the end towards which effort is directed, a goal or end of action.

Criterion – principle on which a judgement is based 🡪 how well the objective has been achieved

Decision is a selection of an activity (or a set of activities) to handle from several alternatives.

The first step in the analysis of organizational systems and decision-making is to define the interests and how they are interrelated!

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Decision-making

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A selection of a managerial decision leads the system goal-oriented to the output performance. The decisions shape the system behaviour with regard to a certain goal (or multiple goals).

Basic problems in decision-making

  • optimality,
  • multiple objectives (most preferred solutions),
  • risk and uncertainty, and
  • system and model complexity.

The leading role in decision-making assurance in SCM belongs to the decision-support information systems and to their core, special software and mathematical tools for decision support.

Supply chains and operations are organizational systems 🡪 decisions are taken by managers (not by automatics) 🡪 Subjectivism, individual risk perceptions, delays in decisions

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COSTS

QUALITY

TIME

Robustness

Stability

Security

Resilience

Flexibility

Sustainability

Agility

Adaptability

Multiple objectives

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Risk and uncertainty

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Uncertainty

Risk

Disturbance

Deviation

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Risk and uncertainty

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Uncertainty

Risk

Disturbance

Deviation

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Risk and types of uncertainty

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  • random uncertainty (demand fluctuations)
  • hazard uncertainty (unusual events with high impact)
  • deep uncertainty (severe disruptions)
  • (Knight 1921) classified under ‘risk’ the ‘measurable’ uncertainty.
  • From the financial perspective of Markowitz (1952), risk is the variance of return.
  • From the project management perspective, risk is a measure of the probability and consequence of not achieving a defined project goal.
  • According to March and Shapira (1987), risk is a product of the probability of occurrence of a negative event and the resulting amount of damage.

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Uncertainty and complexity

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Deviations may occur subject to events which have not been considered in the plan

Plan robustness is not sufficient

Improbable event

Uncertainty and complexity

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Risk management and SCOM

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Trade-offs

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COSTS

Flexibility

Resilience

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Trade-off example

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Capacity Utilization vs Lead Tiime

Utilization

Lead Time

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Supply chain flexibility

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Supply chain resilience

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Models and Real World

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Source: Grigoryev I. (2015). AnyLogic In Three Days

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Models

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A model is:

  • an image of reality:
  • a system whose investigation is a tool for obtaining information about another system;
  • a method of knowledge existence; and
  • a multiple system map of the original object that, together with absolutely true content, contains conditionally true and false content, which reveals itself in the process of its creation and practical use.

Model (М)

Environment

Объект

Object

Subject

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Modelling

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Modelling is one of the stages of cognitive activity of a subject, involving the development (choice) of a model, conducting investigations with its help, obtaining and analysing the results, the production of recommendations on the further activity of the subject and the estimation of the quality of the model itself as applied to the solved problem and taking into account specific conditions.

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Source: Render et al. (2012). Quantitative Analysis for Management, Pearson.

Conflicting viewpoints and impacts of other departments;

„Good“ solution to the right problem is better than optimal solution to the wrong problems

Complexity-understand; textbook-reality

„Garbage in – garbage out“

Understanding mathematics; not just one answer but a range of options

Validity of results, assumptions review

Identification of necessary changes; impact of changes; sensitivity analysis

Management fear - the use of formal analysis processes will reduce their decision-making power.

Action-oriented managers may want “quick and dirty” techniques.

Analysts should be involved with the problem and care about the solution.

Practical implementation

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Modelling framework

Source: ORMS Today, December 2015, p.23.

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Models

Heuristics

Optimization

  • Optimal solutions
  • Time-consuming calculations
  • Special problems
  • Short calculation time
  • Quality of soultion is unknown

Application in practice!

Simulation

Expert knowledge and Visualisation

Modelling options

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Optimization

Simulation

Heuristics

Linear Programm

Stochastic Prog.

Robust Optimiz.

Goal Programm.

Optimal Control

System Dynamics

Agent Systems

Genetic algorithm

ACO algorithm

SNO heuristic

Adaptive control

Solving equations

What

happens, if..?

Algorithm

Methods

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Problem, model, and decision

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Simulation as a method for SCOM decision support

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Source: Popkov T. (2015). Presentation on AnyLogistix, INFORMS, Nov. 4. 205, Philadelphia, PA.

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Modelling method selection

Source: anyLogistix

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Modelling method selection: example supply chain design

Source: anyLogistix

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Modelling method selection: example omnichannel supply chain

Source: anyLogistix

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Optimization

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Optimization is the finding the best decision through representing problem choice as decision variables and seeking values that extremized objective functions of the decision variables subject to constraints on variable values expressing the limits on possible decision choice.

This is a technical treatment 🡪 Supply chains are organizational systems 🡪 decisions are taken by managers (not by automatics) 🡪 Subjectivism, individual risk perceptions, delays in decisions, decentralization.

The drawback of using optimization is difficulty in developing a model that is sufficient detailed and accurate in representing problem complexity and uncertainty, while keeping the model simple enough to be solved. Furthermore, most of the optimization models are deterministic and static.

Unless mitigating circumstances exist, optimization is the preferred approach. However, in reality, mostly the problems of strategic nature may be correctly addressed by optimization.

Examples: 🡪 Oracle SNO; SAP APO; ILOG, Excel Solver

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Linear programming

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  • A mathematical technique to help plan and make decisions relative to the trade-offs necessary to allocate resources
  • Will find the minimum or maximum value of the objective
  • Guarantees the optimal solution to the model formulated
  1. LP problems seek to maximize or minimize some quantity (usually profit or cost) expressed as an objective function
  2. The presence of restrictions, or constraints, limits the degree to which we can pursue our objective
  3. There must be alternative courses of action to choose from
  4. The objective and constraints in linear programming problems must be expressed in terms of linear equations or inequalities
  • Solution algorithm: Simplex-Method
  • Implemented in industrial solvers

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Spreadsheet Modelling

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Book recommendation: Baker K.R. (2015). Optimization Modeling with Spreadsheets,. Wiley, 3rd Edition

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Spreadsheet Modelling

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Book recommendation: Baker K.R. (2015). Optimization Modeling with Spreadsheets,. Wiley, 3rd Edition

The technology behind spreadsheet-based modeling is simple: you enter the data inputs in some cells and you view the data outputs in others. Formulas – and in more complex models, scripts – link the input and output values. Various add-ons allow you to perform parameter variation, Monte Carlo, or optimization experiments.

However, there's also a large class of problems where the analytic (formula-based) solution is either hard to find or simply doesn’t exist. This class includes dynamic systems features

Consider a problem that requires you to optimize a rail or truck fleet. It’s difficult to use an Excel spreadsheet to manage factors such as travel schedules, loading and unloading times, delivery time restrictions, and terminal point capacities. A vehicle’s availability at a given location, date, and time depends on a sequence of preceding events, and determining where to send the vehicle when it’s idle requires us to analyze future event sequences.

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Heuristics

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Heuristics are intelligent rules that often lead to good, but not necessarily the best, solutions. Heuristic approaches typically are easier to implement and require fewer data. However, the quality of the solution is usually unknown. Unless there is a reason not to use the optimization, heuristics is an inferior approach.

Trends: nature-based heuristics such as genetic algorithms and ACO (Ant Colony Optimization).

Example: in supply chains, the concurrent open shop problems are encountered most frequently. It is well known that most scheduling problems of this class are hard to solve with optimization due to high dimensionality. That is why heuristics (e.g. genetic algorithms) are usually applied instead of optimization. They do not guarantee the optimal solution but allow a permissible result to be found within an acceptable period of time. The quality of this solution with regard to the potential optimum, however, remains unknown. Second, the multiple objective problems are still a “bottleneck” of the heuristics.

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Simulation

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Formulas that are good at expressing static dependencies between variables typically don't do well in describing systems with dynamic behavior. It’s why we use another modeling technology - simulation modeling - to analyze dynamic systems.

Simulation is imitating the behaviour of one system with another. By making changes to the simulated SC, one expects to gain understanding of the dynamics of the physical SC.

Rather than deriving a mathematical analytical solution to the problem, experimentation with the model is done by changing the parameters of the system in the computer, and study the differences in the outcome of the experiments.

Simulation is an ideal tool for further analysing the performance of a proposed design derived from an optimization model.

One promising area is the study of combining simulation methods with optimization methods in an iterative way 🡪 Optimization-based simulation.

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Simulation

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Approaches:

  • discrete-event simulation
  • system dynamics
  • agent-based simulation

Each method serves a specific range of abstraction levels.

System dynamics assumes very high abstraction, and it’s typically used for strategic modeling.

Agent based models can vary from very detailed models where agents represent physical objects to the highly abstract models where agents represent competing companies or governments.

Discrete event modeling supports medium and medium-low abstraction.

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Simulation: example AnyLogic

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Optimization vs Simulation ?

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Advantages

Possible limitations

Optimal solution

Dimensionality and complexity of real problems

Methodical basics

Dynamics and uncertainty of system and model evolution

Easy accessibility

Poor flexibility

Linearity and discreteness

Optimization

Simulation

Advantages:

1. to analyze systems and find solutions where methods such as analytic calculations and linear programming fail.

2. you can measure values and track entities within the level of abstraction, and you can add measurements and statistical analysis at any time.

3. The ability to play and animate the system behavior in time is one of simulation’s great advantages.

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Simulation + Optimization: Example Supply Chain Risk

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Simulation

  • Randomness in disruption

and recovery policies

  • Real-time analysis
  • Real problem complexity
  • Inventory control policies
  • Dynamic recovery policies
  • Gradual capacity degradation and recovery
  • Impact of changes in operational policies on the ripple effect and operational parameter dynamics in time
  • Multiple performance impact dimensions including financial, service level, and operational performance in time

Optimization

  • Supply chain structure with back-ups
  • Discrete number of periods
  • Demand (distribution) in periods
  • Production capacities in periods
  • Beginning and ending inventory in periods
  • Production quantities in periods
  • Sourcing quantities in periods
  • Shipment quantities in periods
  • Backorder quantities in periods
  • Operational costs
  • Disruption duration, in periods
  • Recovery duration, in periods
  • Individual impact on service level, costs, and lost sales at the end of planning horizon

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Example: Modelling with anyLogistix

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�Chapter 4��Operations and Supply Chain Strategy�

Free companion web site:

http://global-supply-chain-management.de

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Learning objectives

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Learning objectives for this Chapter:

  • Operations strategies and “strategic fit”
  • Efficient and effective supply chain strategies
  • Bullwhip-effect
  • Vendor-managed Inventory (VMI)
  • Collaborative Planning, Forecasting, and Replenishment (CPFR)
  • Ripple-effect
  • Supply chain resilience and sustainability

?

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Introductory case-study

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“Quick and affordable”:

Zara, UNIQLO & Primark

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Supply Chain Strategies

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Strategy

Application

Competion basis

Supply Chain Contribution

Innovation

Unique technology

Innovative products

Fast new product development

Costs

Cost-efficient organisation

The lowest prices

Efficient supply chain

Service / Response

Flexibility, customer service

Customer satisfaction

Customer is central point of the supply chain

Quality

High-quality products

Highest quality standards

Quality control stages in the supply chain

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Performance improvement

Service Level

Costs

Inventory Optimization

Uncertainty of Demand and Supply

Supply Cycle Time

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„Strategic fit“: The Logistics/Marketing Interface

Strategic fit presumes alignment of objectives in different departments with the overall SC objectives. For example, typical decisions in marketing relate to product mix and pricing. This should be brought into correspondence with logistics decisions such as transportation, packaging, and transshipment.

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Value and cost adding

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Reducing non-value-adding time improves service level and reduces cost

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„Strategic fit“ and SCOM Strategy

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Efficient Supply Chains

Responsive Supply Chains

Primary Goal

Supply demand at the lowest cost

Respond quickly to demand

Product design strategy

Maximize performance at minimum product cost

Create modularity to allow postponement of product differentiation

Pricing Strategy

Lower margins because price is a prime customer driver

Higher margins because price is not a prime customer driver

Manufacturing Strategy

Lower costs through high utilization

Maintain capacity flexibility to buffer against demand/supply uncertainty

Inventory Strategy

Minimize inventory to lower cost

Maintain buffer inventory to deal with demand/supply uncertainty

Lead time strategy

Reduce, but not at the expense of costs

Reduce aggressively, even if the costs are significant

Supplier Strategy

Select based on cost and quality

Select based on speed, flexibility, reliability and quality

Reference: Fisher ML (1997) What is the right supply chain for your product? Harv Bus Rev march–april: 83–93

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Risks in SCOM

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Disruption risks : Ripple Effect

Operational risks : Bullwhip Effect

Disruption Frequency

Low

High

Low

High

Performance Impact

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Bullwhip effect

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The magnification of variability in orders in the supply chain: little variability in retail orders….can lead to greater variability for a fewer number of wholesalers, and……can lead to even greater variability for a single manufacturer.

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Bullwhip effect

Behavioural causes

  • misuse of base-stock policies
  • misperceptions of feedback and time delays
  • panic ordering reactions after unmet demand
  • perceived risk of other players' bounded rationality.

Operational causes

  • dependent demand processing (demand is non-transparent and causes distortions in information)
  • lead time variability
  • lot-sizing/order synchronization
  • quantity discount
  • trade promotion and forward buying
  • anticipation of shortages.

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Bullwhip effect

  • The tendency for larger order size fluctuations as orders are relayed through the supply chain
  • Creates unstable production schedules, expensive capacity change costs, longer lead times, obsolescence
  • Damage can be minimized with supplier coordination and planning

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Bullwhip effect analysis

If BWE measure is:

> 1 – Variance amplification is present

= 1 – No amplification is present

< 1 – Smoothing or dampening is occurring

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Bullwhip effect: Task 1

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Bullwhip effect: Task 2

Imagine we have four different retailers for new iPhone 7 cases. They are all ordering the cases from a production company in Atlanta. We assume that weekly demand is nearly constant. Consider the following data for order quantity, frequency and customer demand

Retailer

Order quantity

Order frequency

Customer demand/week

W

570

every 2 weeks

285

X

120

every week

120

Y

525

every 3 weeks

175

Z

600

every 3 weeks

200

 

 

780

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Bullwhip effect: Task 2

Week

1

2

3

4

5

6

7

8

9

10

11

12

Retailer W

-

570

-

570

-

570

-

570

-

570

-

570

Retailer X

120

120

120

120

120

120

120

120

120

120

120

120

Retailer Y

-

525

-

-

525

-

-

525

-

-

525

-

Retailer Z

-

-

600

-

-

600

-

-

600

-

-

600

Demand Atlanta

120

1215

720

690

645

1290

120

1215

720

690

645

1290

Demand customer/week

780

780

780

780

780

780

780

780

780

780

780

780

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Bullwhip effect: Task 2

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Bullwhip effect

Reason for bullwhip effect

Countermeasures

Demand non-transparency

Information coordination

Neglecting to order in an attempt to reduce inventory

Automated ordering and monitoring of inventory in order to avoid overstock or shortage

Order batching

Coordinated and accurate lot size definition

Promotions

Use of everyday low prices (EDLP) instead of promotions

Shortage gaming

Validation of customer demand through historical data of customer ordering

Product returns

Policies to control returns or canceled orders.

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Vendor-Managed Inventory (VMI)

  • Vendor control inventory at the buyer side
  • Buyer provides information on inventory and sales

109

no VMI

with VMI

Responsibility

Responsibility

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Vendor-Managed Inventory (VMI)

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Vendor-Managed Inventory (VMI)

VMI (Vendor-Managed Inventory)

  • the buyer provides certain information to a supplier of that product ,
  • the supplier takes full responsibility for maintaining an agreed inventory level of the material, usually at the buyer's consumption location (usually a store).
  • a third party logistics provider (3PL) can also be involved to control that the buyer has the required level of inventory by adjusting the demand and supply gaps.

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VMI Example

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VMI Example

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VMI Technology: SupplyOn

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  1. agree on min. and max. stock limits
  2. demand and inventory is transmitted from ERP to SupplyOn
  3. demand and inventory is shown in the Inventory Monitor, thus the supplier can plan deliveries based on the agreed limits
  4. ASN is entered by the supplier and transmitted to the ERP system
  5. Inventor Monitor shows in-transit quantities
  6. goods are booked into the system upon delivery and are visible in the Monitor
  7. invoice or credit note is generated as soon as the goods have been booked

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Vendor-Managed Inventory (VMI): Advantages

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For vendor:

  • Early recognition of fluctuation in demand
  • Optimization of production planning; increased volume
  • Forces disciplines: measurements and communication
  • Better planning and resource use via visibility
  • Improved market analysis and elimination of “waste“ activities
  • Closer customer ties and preferred status

For buyer:

  • Increase of inventory availability
  • Reduction of procurement activities
  • Fewer stock-out with higher inventory turnover
  • Lower operating, purchasing and administrative costs
  • SC relationship strategic strength
  • Greater customer satisfaction and increased sales

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Vendor-Managed Inventory (VMI): Advantages

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For overall SC:

  • Optimization of inventory management and cost reduction
  • Decrease of fixed capital (stocks)
  • Improvement of financial planning
  • Supports long-term collaboration

For end-user:

  • Increased service level and reduced stock outs

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Vendor-Managed Inventory (VMI): Limitations

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Limitations of VMI

  • Trust in the supply chain should be high
  • High costs of implementation and investments in IT
  • Customer loss risk
  • Non-foreseeable risks: employee strikes
  • VMI mostly benefits end user and seller while vendor does most of the work
  • Additional processing activities for vendor (costs)
  • Supplier dependent buyer

Application

  • Items with high a consumption amount
  • Items with a high consumption value (A- and B-items)
  • Traditional procurement activities should be changed

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SCOM: Collaboration Strategy

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Front-end agreement

Joint-business plan

Sales-forecast collaboration

Order-forecast collaboration

Order generation

Planning

Forecasting

Replenishment

CPFR (Collaborative Planning, Forecasting, and Replenishment)

VMI (Vendor-managed Inventory)

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Risks in SCOM

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Operational and disruption risks

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Feature

Ripple-Effect

Bullwhip-Effect

Risks

Disruptions (e.g., a plant explosion)

Operational (e.g., demand fluctuation)

Affected areas

Structures and critical parameters (such as supplier unavailability or lost sales)

Operational parameters such as lead-time and inventory

Recovery

Middle- and long-term; coordination efforts and investments

Short-term coordination to balance demand and supply

Affected Performance

Output performance such as annual revenues or profits

Current performance such as daily or weekly stock-out/overage costs

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Disruptions in the Supply Chain

  • Tsunami and Earthquake in Japan in 2011
  • One of the most severe natural disasters with the highest economic damages

Impact on the Supply Chain Performance:

  • Toyota’s global sales reduced by 4% 🡪 market leadership lost in 2011
  • Honda’s global sales reduced by 9%

  • Explosion at BASF plant in Ludwigshafen in 2016

Impact on the Supply Chain Performance:

  • 15% of raw materials for global supply chain are missing
  • Some production facilities are out of operation for many weeks

Image Sources:

http://www.zeit.de/gesellschaft/zeitgeschehen/2016-10/ludwigshafen-basf-chemiekonzern-explosion

http://www.motortrend.com/news/japan-earthquake-tsunami-hit-parts-supplies/

http://wheels.blogs.nytimes.com/2011/03/24/toyota-to-resume-production-of-prius-and-two-lexus-hybrids/

http://www.reuters.com/article/us-japan-quake-supplychain-idUSTRE72D1FQ20110314

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Disruptions in the Supply Chain

Disruptions cause supply chain structural dynamics. They may affect the supply chain structure locally or spread out through the supply chain network

Disruption: An event which is not planned or anticipated and may affect the structure or dynamics of systems.

Economic and political shocks or changes, Terrorist attacks, Natural disasters, Epidemics, Labor strike, Legal disputes

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Examples of disruptive risks

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Factor

Example

Impacts

Terrorism

Piracy

September 11

Somali, 2008

Five Ford plants have been closed for a long time

Breaks in many supply chains

Natural disasters

Earthquake in Thailand, 1999

Flood in Saxony, 2002

Earthquake in Japan, 2007

Apple computers’ production in Asia has been paralysed

Significant production decrease at VW, Dresden

Production breakdown in Toyota’s supply chains amounted to 55.000 cars

 

Hurricane Katrina, 2006

This storm halted 10%–15% of total US gasoline production, raising both domestic and overseas oil prices

 

Earthquake and tsunami in Japan, 2011

Massive collapses in global automotive and electronics supply chains; Toyota lost its market leadership position

 

Floods in Chennai, India in 2015

Production of academic literature has been stopped at many international publishing houses

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Man-made disasters

Explosion at BASF plant in Ludwigshafen in 2016

15% of raw materials were missing for the entire supply chain

Production of some products at BASF has been stopped for many weeks

 

Fire at distribution center of e-commerce retail company ASOS in 2005

Delivery stop for a month

 

A fire in the Phillips Semiconductor plant in Albuquerque, New Mexico in 2000

Phillips’s major customer, Ericsson, lost $400 million in potential revenue

Political crises

“Gas” crisis 2009

Breaks in gas supply from Russia to Europe, billions of losses to GAZPROM and customers

Strikes

Strikes at Hyundai plants in 2016

Production of 130,000 cars has been affected

Legal contract disputes

Volkswagen and Prevent Group contract dispute in summer 2016

Six German factories face production halt on parts shortage; 27,700 workers are affected, with some sent home and others moved to short-time working

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Performance and Resilience

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Supply chain resilience

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Resilience is the ability to maintain, execute and recover (adapt) the planned execution along with achievement of the planned (or adapted, but yet still acceptable) performance. Building the resilient supply chain is based on mitigating risks, preparedness to disruptions, stabilization and recovery,

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Supply chain resilience vs. efficiency

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Criteria

Efficient Supply Chains

Resilient supply chain

Primary Goal

Supply demand at the lowest cost

Ensure demand fulfillment in the presence of disruptions

Network organization

Centralized, global

Decentralization, diversification, localization, segmentation, fortification

Product design strategy

Standardization, maximize performance at minimum product cost

Postponement to ensure product flexibility, product substitution, capacity pooling

Pricing strategy

Lower margins because price is a prime customer driver

Higher prices caused by the costs of resilience

Manufacturing strategy

Lower costs through high utilization

Capacity reservations

Inventory strategy

Minimize inventory to lower cost

Risk mitigation inventory

Lead time strategy

Reduce, but not at the expense of costs

Lead time reservations

Sourcing strategy

Select suppliers based on cost and quality; single sourcing

Supplier risk exposure analysis; backup suppliers and dual sourcing

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Resilience and robustness

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Robustness is based on redundancy to guarantee some performance over a wide range of uncertainty. Resilience is based on redundancy and flexibility. In this setting, flexibility is a system ability to situational process and structural changes as an adjustment reaction to internal and external disturbances.

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Ripple Effect in the Supply Chain

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Ripple effect: propagation of disruptions in the supply chain

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Ripple Effect in the Supply Chain

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Ivanov D., Dolgui, A., Sokolov, B. (2014) The Ripple-Effect in Supply Chains: Trade-off “efficiency-flexibility-resilience” in supply chain disruption management. International Journal of Production Research, 52:7, 2154-2172.

Ripple effect describes the impact of a disruption on SC performance, disruption propagation, and disruption-based scope of changes in the SC structures and parameters.

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External reasons for disruptive risks

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External reasons

Financial and political crises

Demand

Natural and man-made disasters, strikes, piracy

Supply

Demand disruption

Supplier and logistics service provider bankruptcy

Currency exchange rates fluctuations

Production facility disruption

Transportation disruption

Supply disruptions

Information system disruptions

Demand

Supply chain structure

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Internal reasons for disruptive risks

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Internal reasons

Low safety stocks

No contingency plans

Single Sourcing

100% capacity utilization

Sourcing Strategy

Production Planning

Inventory Management

Control

Batching

Low-level safety technologies

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How to protect the supply chain?

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Supply chain capabilities

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Improving performance through resilience

136

Adopted with changes from Pettit et al. (2010)

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Resilience framework

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Three decision levels

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Proactive planning

Reactive control

Structural Supply Chain Design Stage

Supply chain design in regard to efficiency and effectiveness

Resilient Supply Chain Structural Design

Robustness and flexibility analysis of the supply chain design

Resilient Supply Chain Control

Supply chain recovery in the case of disruptions

Creating supply chain flexibility by redundancy

  • back-up facilities and links
  • risk mitigation inventory
  • capacity flexibility

Supply chain recovery by using flexibility

  • system flexibility
  • structural flexibility
  • process flexibility

Supplier

Factory

Market

Supplier

Factory

DC

Supplier

Factory

DC

Market

DC

Market

Efficient supply chain design

  • efficient production
  • efficient logistics
  • efficient inventory

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Role of proactive strategies

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Factory

Warehouse

Retailer

Order of 100 units per day

Risk Mitigation Inventory 700 units

Daily shipments

Daily shipments

Capacity 100 units per day

Service Level, %

Time, days

Factory is disrupted for 7 days

100

7

14

21

28

35

42

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140

Factory

Warehouse

Retailer

Order of 100 units per day

Risk Mitigation Inventory 700 units

Daily shipments

Daily shipments

Capacity 100 units per day

Service Level, %

Time, days

Factory is disrupted for 14 days

100

7

14

21

28

35

42

0

Role of proactive strategies

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141

Factory

Warehouse

Retailer

Capacity 100 units per day

Service Level, %

Time, days

Factory is disrupted for 14 days

100

7

14

21

28

35

42

0

Factory

Warehouse

Retailer

Order of 100 units per day

Risk Mitigation Inventory 700 units

Daily shipments

Daily shipments

Capacity 100 units per day

Service Level, %

Time, days

Factory is disrupted for 14 days

100

7

14

21

28

35

42

0

Role of proactive strategies

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142

Factory

Warehouse

Retailer

Order of 100 units per day

Capacity 100 units per day

Service Level, %

Time, days

Factory is disrupted for 14 days

100

7

14

21

28

35

42

0

Back-Up Factory

BUT: both higher safety stock and back-up factory increase costs!

Role of proactive strategies

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Role of Recovery Policies

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Adapted from: Sheffi Y., Rice J.B. (2005). A Supply Chain View of the Resilient Enterprise. MIT Sloan Management Review

Time-to-Survive vs Time-To-Recover

Recovery Costs vs Recovery Time

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Reactive control

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Proactive and reactive resilience actions increase costs!

Total costs = operational supply chain costs

+ proactive costs of redundancy

+ reactive costs of recovery

Time

Performance

time for recovery

recovered performance

Disruption

0

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Research Framework

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1

2

3

4

5

Introduction

We are interested to investigate the supply chain performance impact of different combinations of disruptions, proactive mitigation strategies and reactive recovery policies.

Example:

Two disruption scenarios I and II

Four combinations of proactive and reactive policies A, B, C, and D

Service Level

Costs

Scenario I

Service Level

Costs

Scenario II

A

A

B

B

C

C

D

D

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Supply chain resilience and ripple effect control

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Supply chain sustainability

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  • Supply chain sustainability is based on triple-bottom-line “economy-ecology-society”.
  • Joint consideration of all these elements is crucial for SCOM in long-term perspective.
  • In SCOM such concepts like “Closed-Loop Supply Chain” and “Reverse Logistics” have been developed.
  • They are based on the idea that supply chain does not end at the point of sale but can be seen as a cycle including the after-sale area.

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Supply chain viability

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Supply chain viability

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Viability is the ability of a supply chain to maintain itself and survive in a changing environment through a redesign of structures and replanning of performance with long-term impacts.

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Adaptable Supply Chain Designs

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Viable Supply Chain model - adaptable structural SC designs for supply-demand allocations and, most importantly, establishment and control of adaptive mechanisms for transitions between the structural designs.

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Supply chain ecosystem viability

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Viability of Intertwined Supply Networks

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An intertwined supply network (ISN) is an entirety of interconnected supply chains, which, in their integrity, secure the provision of society and markets with goods and services.

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�Chapter 5��Sourcing Strategy�

Free companion web site:

http://global-supply-chain-management.de

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Learning objectives

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Learning objectives for this Chapter:

  • Role of purchasing, procurement, and sourcing in SCOM
  • Basic elements of sourcing process
  • Make-or buy vs outsourcing
  • Organization issues in sourcing
  • Sourcing strategies according to number of suppliers, geographical supplier distribution, and sourcing principles
  • Methods of spend analysis and supplier selection
  • Elements of supplier relationship management (SRM)

?

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Introductory case-study

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“Sustainable Supplier Management at Samsung”

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Basic definitions

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Supplier Scoring

And Assessment

Supplier

Selection

And

Contract

Negotiation

Collaboration Design

Replenishment planning

Purchasing

Sourcing

Procurement

Purchasing

Purchasing is the process of procuring the proper requirement, at the time needed, for the lowest possible costs from a reliable source. Purchasing deals mostly with commercial activities and is related to transactional, ordering processes.

Procurement covers a broader scope than purchasing and covers both acquisitions from third parties and from in-house providers. It also involves options appraisal and the critical “make or buy” decision.

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Sourcing

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Sourcing needs to be understood to be the entire set of business processes required to purchase goods and services.

Sourcing activities range e. g., from the selection of suppliers, to drawing up contracts, product design and collaboration, to evaluation of supplier performance. Broadly speaking, sourcing is the process of establishing and managing the supplier relationships in the SC. In the narrow sense, sourcing is related to the activities and processes to provide the enterprise with materials, services, capital equipment, means of production, tools and supplies for work, etc. from external suppliers or partners.

Sourcing is a very important activity in the SC. The purchased parts and materials can account for over 60% of the cost of finished goods; for retail companies within the SC this can be as high as 90%.

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Sourcing process

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Based on: Kummer S, Jammernegg W, Grün O (2013) Grundzüge der Beschaffung, Produktion und Logistik. 2nd edn. Pearson, Harlow

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Sourcing process

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  • Determination of material requirements:�i.e., the type, composition, configuration, quality, volume, location and timing for the delivery of the sourcing objects;
  • Order management:�i.e., determination of order volumes, frequencies, times and specification of logistical conditions. Also the supervision of accurate deliveries, goods reception, invoice control and approval;
  • Supplier base research, observation and analysis: �i.e., analysis and evaluation of the supplier base, assessment of potential new partnerships and elaboration of (strategic sourcing) recommendations, preparation of negotiations, contracts, etc.
  • Make or buy decisions:�Identification of internal/external value adding scope depending on the core competencies, but also comparison of capacities, lead times, costs, etc.
  • Supplier management:i.e., auditing suppliers, running performance management assessments e.g., regarding on-time deliveries, quality , reliability, flexibility, etc. This is also related to supplier development or can initiate a substitution of suppliers.

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Make-or-Buy vs Outsourcing

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“Make or buy” is a strategic decision that determines if the sourcing objects are internally made or externally sourced.

Such strategic decisions are related to the question of core competencies.

If the relevant value adding processes have historically been performed by an organizational unit’s own people and the decision has been made to externalize certain processes (i. e., to buy), the so-called “outsourcing” takes place. That means that outsourcing is a result of a make or buy decision.

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Outsourcing analysis

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  • lower production cost
  • better use of available resources
  • focusing on core competencies
  • cost restructuring
  • reduction of time-to-market
  • risk sharing
  • know-how sharing
  • quality issues
  • flexibility
  • tax benefits.

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Make or Buy analysis

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  • Core competence/strategic fitWhat are the unique capabilities that are very difficult to imitate?�What are the strategic objectives the company needs to meet?�Does the focus on lean production require an adaptation of the production depth?�Is it necessary to buy more in new markets because of local content requirements?
  • Variety and/or stability on the demand sideWhat is the stable level of demand we can fulfil with our existing capacity and when is it recommended to increase peak capacity needs by temporary supplementary external sourcing?

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Make or Buy analysis

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  • Production capacity on the sourcing side�Are there existing contracts (e. g. purchasing agreements or sales orders) that need to be fulfilled and which will impact the make or buy decision?
  • AutonomyDo we jeopardize our competitive position by providing external parties with confidential drawings, intellectual property rights, new research results, etc.? Is there a risk that we might even create a future competitor by going for a buy decision that will lead to a know-how transfer?
  • Dependency on suppliersWith the increasing level of external purchases, dependency on suppliers, their quality, reliability and also punctuality can significantly influence the organization’s own reputation. �Do we have a strong or weak market position and how does it look in the case of suppliers?

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Make or Buy analysis

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  • Evaluation of the cost structureIn the case of “make” decisions, the corresponding costs are linked to e. g., material and labour costs, salaries or the depreciation cost of the equipment in use. In the case of “buy”, the decision will be related to the purchasing, transportation, handling, storage or transportation costs.
  • Financial shortage or need for capitalEspecially at times of financial shortages, the decision to externally source parts, modules or services is an important factor, as it relieves the cost pressure.

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Sourcing strategy classifications

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Number of suppliers

  • single sourcing
  • dual sourcing
  • multiple sourcing

Sourcing principles

  • sourcing on-stock
  • Just-in-time (JIT) sourcing
  • supply chain coordination (e.g., VMI)
  • particular sourcing

Geographical aspects

  • local sourcing
  • national sourcing
  • international sourcing
  • global sourcing

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Sourcing strategy classifications

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Number of suppliers

  • single sourcing
  • dual sourcing
  • multiple sourcing

Sourcing principles

  • sourcing on-stock
  • Just-in-time (JIT) sourcing
  • supply chain coordination (e.g., VMI)
  • particular sourcing

Geographical aspects

  • local sourcing
  • national sourcing
  • international sourcing
  • global sourcing

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Single vs Multiple Sourcing

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  • volume
  • product variety
  • demand uncertainty
  • lead time importance
  • disruption and other risks
  • transportation costs
  • manufacturing complexity
  • coordination complexity
  • post-sales issues

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Single Sourcing

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  • long-term agreements
  • price stability
  • suppliers included in the product development process at a very early stage
  • low transactional costs
  • scale effects
  • inefficient price policy
  • lead time, quality and service issues
  • lack of collaboration with many suppliers

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Local vs Global Sourcing

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Costs

labour, taxes, transportation, insurance, transshipment, duties, and transactions

Quality

bill-of-materials, quality control, after-sales service, certifications

Service

on-time delivery, responsiveness, flexibility, technical equipment, image, reliability

Sustainability

political, economic, social issues

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Local vs Global Sourcing

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Local Sourcing

Global Sourcing

Advantages

  • Same norms / standards
  • Easy to reach / short distances
  • Same culture, same currency, same political climate
  • Good basis for JIT deliveries
  • Lower disruption risks for overall supply chain
  • Broadest variety of available vendors
  • Largest portfolio of products or services
  • Best opportunities to compare and negotiate with suppliers due to broadest supplier base

Disadvantages

  • (Very) limited supplier base or there could be even no supplier base
  • Possibly limited bargaining power of buyer because of limitations on supplier side
  • Longer travel and transportation time
  • Longer response time in case of changes
  • Possibly larger lot sizes
  • Potentially different norms / standards
  • Different cultures, currencies and political uncertainty
  • Higher disruption risks for overall supply chain

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Global sourcing: impact analysis

Costs

Quality

Service

Politics / Society / Nature

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Examples

172

  • Make-to-Order
  • Production flexibility
  • Global organisational structure:
  • Production facility (Assembly)
  • Supplier network
  • Distribution Hubs
  • Call Centres
  • Sales & service
  • IT and Data centres
  • Make-to-Stock
  • Production efficiency
  • Global organisational structure:
  • Product development
  • Production facilities
  • Assembly
  • Dispatch
  • Make-to-Stock
  • Ban on supply IKEA by the Swedish furniture trade organisation
  • International purchase showed the opportunity for local development
  • Global organisational structure:
  • IKEA acted as a dominant entity over its suppliers

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JIT: just-in-time

“JIT is a philosophy of manufacturing based on planned elimination of all waste and continuous improvement of productivity.

The primary elements include having only the required inventory when needed; to improve quality to zero defects; to reduce lead time by reducing set-up times, queue length and lot sizes; to incrementally revise the operations themselves; and to accomplish these things at minimum cost”.

Based on: American Production and Inventory Control Society

JIT allows reducing inventory at the production site, cutting lead times, increasing productivity and responsiveness.

High-value materials with good demand predictability and quite steady demand especially can be recommended for JIT.

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Just-in-Time / Just-in-Sequence Example Volkswagen Saxony

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SRM: Supplier Relationship Management

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Supplier assesment methods

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Spend analysis

  • What categories of products or services significantly influence the company spending?
  • How much are we spending with various suppliers?
  • What are our spending patterns at different locations?

Supplier industry analysis

Cost and performance analysis

Supplier role analysis

Business process analysis

Business benefit analysis

Commodity plan implementation and execution

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Supplier selection: factor ranking method

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Popular because a wide variety of factors can be included in the analysis

Six steps in the method

    • Develop a list of relevant factors called key success factors
    • Assign a weight to each factor
    • Develop a scale for each factor
    • Score each location for each factor
    • Multiply score by weights for each factor for each location
    • Recommend the location with the highest point score

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Supplier selection

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Sensitivity analysis should be performed in the case of any quite similar evaluations of some suppliers. Such an analysis will help to identify the impact of changes in weights and scores on the overall supplier evaluation.

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Supplier integration and development

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  1. identify the critical products
  2. identify the critical suppliers�(assess their current and future capabilities)
  3. appraise the performance of the suppliers�(usage of a standardized KPI framework)
  4. determine the gap between current and desired supplier performance
  5. form a cross-functional supplier development team
  6. meet with supplier’s top management team
  7. agree how the identified gaps can be bridged;
  8. set deadlines for the achievement of the improvements
  9. monitor improvements�

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Key Points from This Chapter

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What to source? 🡪 Make or Buy and outsourcing decisions.

How to source? 🡪 What is the sourcing tool or process that needs to be applied (e. g. do we consider manual sourcing or do we use IT tools such as portals, EDI? How well are business processes aligned between the supplying and the buying parties?) What is the appropriate sourcing organization, to purchase individually or to establish an alliance and thus follow the idea of collaborative sourcing?

From whom to source? 🡪 With how many suppliers or partners do we cooperate? Which supplier demonstrates good performance or has further potential –who should be developed and who should be substituted?

From where to source? 🡪 local vs global sourcing?

When to source? 🡪 how to schedule the sourcing (e.g. JIT) Alternatively the strategy of sourcing on-stock might be applied.

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181

Identify the problems with this process and suggest solutions!

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�Chapter 6��Production Strategy�

Free companion web site:

http://global-supply-chain-management.de

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Learning objectives

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Learning objectives for this Chapter:

  • Push and pull views of the supply chain
  • Mass customization and modularization
  • Order penetration point and postponement
  • Basic production strategies in the supply chain
  • Analysis of order penetration point location

?

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Introductory case-study

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DELL vs Lenovo

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With pull processes, execution is initiated in response to a customer order. With push processes, execution is initiated in anticipation of customer orders.

Therefore, at the time of execution of a pull process, customer demand is known with certainty, whereas at the time of execution of a push process, demand is not known and must be forecast.

185

Production Strategy

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The push/pull view

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The push/pull view of the supply chain divides supply chain processes into two categories based on whether they are executed in response to a customer order (downstream part) or in anticipation of customer orders (make-to-stock, upstream part).

Pull processes are initiated in response to a customer order. The advantages of the downstream part are responsiveness, and high degree of customer-oriented product individualization.

Push processes are initiated and performed in anticipation of customer orders. The advantages of the upstream part are the economy of scale (low manufacturing and transportation costs), flexibility (high level of inventory),and the short supply times.

This view is very useful when considering strategic decisions relating to supply chain design, because it forces a more global consideration of supply chain processes as they relate to the customer.

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Order penetration point (OPP) and postponement (1)

187

The push/pull boundary is called OPP that separates push processes from pull processes.

A product is kept as long as possible in a generic state. Differentiation of the generic product into a specific end-product is shifted closer to the consumer by postponing identity changes, such as assembly or packaging, to the last possible supply chain location.

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Order penetration point and postponement (1)

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Van Hoek (2001) defines postponement as “an organizational concept whereby some of the activities in the SC are not performed until customer orders are received”.

The postponement concept was first time introduced in the literature by Alderson (1950), where it was observed that products tend to become differentiated as they approach the point of purchase.

Especially useful for:

  • Significant number of variants of an end product with an uncertain split of demand on variants.
  • Delivery time requested by customers must allow value-adding steps after receipt of customer orders (or reliable demand forecast).

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Order penetration point and postponement (2)

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Differentiation of the generic product into a specific end-product is shifted closer to the consumer by postponing identity changes, such as assembly or packaging, to the last possible supply chain location.

This allows keeping safety stock of one generic product instead of multiple specific end-products. Especially in cases where the split of demand into specific end-products is uncertain, postponement with its risk pooling effect leads to less safety stock required and to a lower risk of obsolescence of end-products.

Furthermore, as less value has been added to the generic product than to the specific end-product, less capital is bound in each stocked unit.

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Case-study and company video

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AirSupply

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Case-study and company video

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AirSupply

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Case-study and company video

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AirSupply

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Task

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This task investigates the issue of how to determine right production strategy and OPP location in the supply chain. Consider two strategies:

  • MTS and delivering from a general inventory holding unit and
  • introducing the MTO agile part downstream the general inventory holding unit.

We assume that the introduction of the agile supply chain part downstream the OPP leads to an increase in both flexibility and costs. We propose the “lost-sales”-based treatment of the OPP location determination: OPP location can be determined through a comparison of financial results of the two strategies (with and without OPP).

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Task

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Example

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Re-Purposing Production Strategy

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Repurposing is a concept of utilizing the existing manufacturing and logistics capacities for the production of a new, untypical product in an SC. The concept of repurposing has been used extensively during the COVID-19 pandemic in 2020. Healthcare SCs for PPE (personal protection equipment) items have not been able to cope with increased demand due to the COVID-19 outbreak. Numerous cases have been observed of production systems and SCs being repurposed during the COVID-19 pandemic to meet the demand for such critical items. Utilizing an existing manufacturing line for a purpose other than its intended use is called ‘Repurposing’. This is typically a short-term strategy to overcome the shortage of critical resources, such as PPEs, diagnostic equipment, and clinical care equipment.

 

For example, luxury goods manufacturers in Italy and France have re-designed their operations in order to produce urgently needed items during the COVID-19 virus outbreak. Within 72 hours of the French government‘s call for business to pitch in, LVMH‘s perfume factories were able to produce hand sanitizer. Giorgio Armani, Gucci and Prada repurposed their designer clothing factories in Italy to churn out medical overalls, and Burberry harnessed a trench coat plant to make face masks and nonsurgical gowns.

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�Chapter 7��Facility Location Planning and Network Design

Free companion web site:

http://global-supply-chain-management.de

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Learning objectives

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Learning objectives for this Chapter:

  • Understand the importance of selecting the right facility locations
  • Describe the main phases of location-related decision-making processes
  • Apply quantitative analysis techniques to solve supply chain design problems
  • Compute solutions to different settings of the warehouse location problem
  • Use centre-of-gravity methods and the Miehle algorithm
  • Apply factor-ranking method to facility location decisions

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Introductory case-study

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Power Pong Sports, China

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Importance of location decision

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  • One of the most important decisions a firm makes
  • Increasingly global in nature
  • Significant impact on fixed and variable costs
  • Decisions made relatively infrequently
  • Costs is not the only factor to be considered
  • Innovations, supplier market, infrastructure, qualified people, political issues, currency exchange risks,…
  • Once in place, location-related costs are fixed in place and difficult to reduce
  • Capacity expansion aspects should be considered
  • Determining optimal facility location is a good investment
  • The objective is to maximize the benefit of location to the company

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Supply Network Design Framework

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Global Supply Chain Design: Warehouse location problem (WLP)

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Given (parameters):

  • Set S of potential facility locations
  • Set M of markets
  • Set T := S · M of all possible transportation links
  • Link transportation costs csm
  • Fixed costs fs

Find (variables):

Facility locations: if a facility is opened in region s∈S, then ys=1 and the annual fixed costs rise by the amount fs; otherwise ys=0

Transportation links: if a transportation link (s,m)∈T is used, then xsm=1

and the annual costs increases by amount csm ; otherwise xsm=0

Satisfy (constraints):

  • Single sourcing constraints
  • Binary constraints

Extremize (objective function):

  • Minimize total costs

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Spreadsheet Modelling: data and objective function

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Excel Solver setup

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Spreadsheet Solution

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How Excel-Solver works: Branch & Bound method

For small instances, b&b is a suitable method. However, the solution of real-life problems involves a higher complexity. This makes it necessary to apply solving the WLP by different heuristic methods rather than exact algorithms. The reason for that is the high number of integer variables.

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Capacitated warehouse location problem (CWLP)

Differencies to WLP problem

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  • we know the quantities qs (sS) that can be handled by each reseller per year (i.e., supply capacity is restricted)
  • in order to assign a sufficient quantity to each reseller we need to have the demand dm of each market m∈M
  • we use the family of non-negative decision variables zsm ≥ 0 in order to represent decisions about the installation and usage of transportation links. If zsm = 0 then there is no link installed to connected supplier s with market m. If zsm > 0 then the value of zsm is interpreted as the shipment quantity along the transportation link originating from supplier s and terminating in market m∈M.

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CWLP model

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Given (parameters):

  • Set S of potential facility locations
  • Set M of markets
  • Market demand dm
  • Market sale quantitiy qs
  • Set T := S · M of all possible transportation links
  • Unit transportation costs c‘sm
  • Fixed costs fs

Find (variables):

Facility locations: if a facility is opened in region s∈S, then ys=1 and the annual fixed costs rise by the amount fs; otherwise ys=0

Transportation links: usage of the transportation link (s,m)∈T increases the annual costs by amount csm· zsm

Shipment quantities zsm

Satisfy (constraints): Logical constraint:

Demand constraint Capacity constraint Binary and non-negativity cons.

Extremize (objective function):

  • Minimize total costs

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  1. Formulate the CWLP model!

2. What can you say about sensitivity of the goal function to changes in (a) fixed costs and (b) variable transportation costs?

3. How could you use the CWLP to explain to your CEO:

(a) why would the total supply chain costs increase or decrease if change our locational decision?

(b) how can you use the optimization results and the costs of optimal solution to negotiate with logistics companies and suppliers?

(c) what would it make more sense to reduce the new costs: to negotiate with (i) freight careers to reduce transportation costs or (ii) with engineering company that builds your new facilities?

CWLP Model: analysis

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  • The CWLP-based approach helped us with identification of regions that should be considered for setting up a supply chain. These regions might be continents, countries, states or even farms or growing areas or plantations supplying or consuming products.
  • The outcome of phase I (the regions to be considered in the prospective supply chain) are now forwarded into phase II where one or several locations have to be identified and compared for each region as network node.

Stage II: Regional facility location

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Center-of-gravity method (also known as greenfield analysis (GFA)) helps to find location of a distribution center or a warehouse that minimizes total transportation costs

It considers:

    • Location of markets expressed by two coordinates
    • Volume of goods shipped to those markets, i.e., market demand
    • Shipping cost (or distance)

It assumes that cost is directly proportional to distance and volume shipped

Placing the existing locations on a coordinate grid, we calculate X and Y coordinates for ‘center of gravity’ which implies finding the optimal location

Center-of-gravity method: principle

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Objective function:

Center-of-gravity method: formalization

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Notation

Meaning

Z

Total transportation costs

px

X-coordinate of optimal location

py

Y-coordinate of optimal location

xi

X-coordinate of i-market

yi

Y-coordinate of i-market

D

Demand in the i-market

i

Running index of market numbers

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How to compute distance and coordinates?

direct line method: corner method:

Center-of-gravity method: computation

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How to compute distance and coordinates?

direct line method: corner method:

Center-of-gravity method: computation

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If costs is different for different transportation links, then:

costs

∙ costs

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Center-of-gravity method: example

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i

Name

Coordinates

 Annual demand

 

 

xi

yi

Di

1

Sport 1-2-3 KG

10

-80

3t

2

TT direct

-45

-30

1t

3

Sports and Fun

60

50

1.5t

4

Leisure Outlet

45

-75

3.5t

5

Raquets & More

-75

80

2t

German customers of TT Profi

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Center-of-gravity method: solution using corner method

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I

Name

Coordinates

Distances

Demand

 

 

xi

yi

d(px;py)

Di

1

Sport 1-2-3 KG

10

-80

55.5

3t

2

TT direct

-45

-30

55.5

1t

3

Sports and Fun

60

50

129.5

1.5t

4

Leisure Outlet

45

-75

85.5

3.5t

5

Racquets & More

-75

80

189.5

2t

Note: here we assume that cost factor per km and weight unit is 1 euro. If not, we need to multiply (distance by volume by cost factor)

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Improvement by Miehle algorithm

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Replace: px=a and py=b

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Improvement by Miehle algorithm: procedure

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Improvement by Miehle algorithm: procedure

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… if Rackets & More demands 8 tons:

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Stage III: Location selection and factor-rating method

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  • A wide variety of factors can be included in the analysis
  • Seven steps in the method
  • Identify location options.
  • Determine decision criteria (location factors) and their measurement.
  • Determine weighting totaling 100% for the different criteria.
  • Evaluate every location option on a normalized scale to achieve “partial utility values”, e.g., usage of a scale from 1-10 points (in which 10 = best).
  • Calculate the “total utility value” of a location option by multiplying “partial utility values” with weights and adding these values.
  • Compute weighted average if many experts are involved
  • Choose the option with the highest “total utility value”.

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Qualitative and quantitative factors

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Quantitative criteria

Qualitative criteria

Transportation costs

Building and construction costs

Rental costs

Labour costs

Material costs

Taxes

Financial support from local governments

Infrastructure

Quality of labour

Transportation development

Purchasing power

Options for financing (free trade zones, etc.)

Suppliers

Political risks

Natural disaster risks

Proximity to customers and suppliers

Business climate

Environmental regulations

Competitive advantage

Government and trading barriers

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Example

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The option with the highest score is the one that is suggested If the scores of different options are very close to each other, sensitivity analysis is mandatory.

Shortcomings of the factor-rating method include the fact that the weighting percentages assigned per factor are not clearly visible.

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Software Example: anyLogistix

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