�Chapter 1��Basics of Supply Chain and Operations Management��
Free companion web site:
http://global-supply-chain-management.de
Learning objectives
2
Learning objectives for this Chapter:
?
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Introductory case-study
3
The best supply chain and operations manager in the world
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Operations and transformation process
4
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
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Operations and enterprise structure
5
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.
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Operations performance measurement
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COSTS
QUALITY
TIME
Objective triangle
How to achieve maximum of the desirable goal with limited resources?
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Extended SCOM performance
7
How to achieve maximum of the desirable goals in a sustainable and resilience way?
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
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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
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
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
15
Case study „Chocolate Supply Chain“
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Basic decisions in SCOM
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Sourcing
Production
Distribution
IT
Strategy
Planning
Execution
- Facility Location
STRATEGIC COLLABORATION
Collaboration Strategy; Risk Pooling; Supply Chain Organization; Contracting
(e.g., SupplyOn)
- Ordering
- 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
17
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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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”.
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
�Chapter 3��Processes, Systems, and Models
Free companion web site:
http://global-supply-chain-management.de
Learning objectives
23
Learning objectives for this Chapter:
?
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Introductory case-study
24
AirSupply
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Process management
25
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):
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
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
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Key performance indicators (KPI)
28
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.
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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.
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Role of Information Technology
31
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
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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.
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
IT for SCOM
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Planning at the enterprise level
Planning and control for supply chain coordination
Real-time control
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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:
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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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
41
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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Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
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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+ | - |
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
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
Basic quantitative optimization methods in SCOM
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system dynamics
Sourcing
Production
Distribution
SCM
Strategy
Planning
Execution
system dynamics
- Geometrical methods
Project management
Graph theory
Fuzzy / Robust / Stochastic optimization
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Decision-making principles
52
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?
54
For a problem to exist there must be an individual (or a group of individuals), referred to as the problem owner (decision maker):
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
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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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:
Model (М)
Environment
Объект
Object
Subject
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Modelling
70
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
⇨ 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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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:
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 ?
88
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
and recovery policies
Optimization
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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
Learning objectives
92
Learning objectives for this Chapter:
?
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Introductory case-study
93
“Quick and affordable”:
Zara, UNIQLO & Primark
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Supply Chain Strategies
94
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
95
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96
„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
97
Reducing non-value-adding time improves service level and reduces cost
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„Strategic fit“ and SCOM Strategy
98
| 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
99
| | | |
| | | |
| | | |
| | | |
|
|
|
|
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
Operational causes
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Bullwhip effect
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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)
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)
111
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VMI Example
113
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VMI Example
114
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VMI Technology: SupplyOn
115
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Vendor-Managed Inventory (VMI): Advantages
116
For vendor:
For buyer:
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Vendor-Managed Inventory (VMI): Advantages
117
For overall SC:
For end-user:
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Vendor-Managed Inventory (VMI): Limitations
118
Limitations of VMI
Application
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SCOM: Collaboration Strategy
119
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
120
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Operational and disruption risks
121
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
Impact on the Supply Chain Performance:
Impact on the Supply Chain Performance:
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
124
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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Examples of disruptive risks
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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
126
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Supply chain resilience
127
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
128
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
129
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
130
Ripple effect: propagation of disruptions in the supply chain
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Ripple Effect in the Supply Chain
131
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
132
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
133
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?
134
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Supply chain capabilities
135
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Improving performance through resilience
136
Adopted with changes from Pettit et al. (2010)
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Resilience framework
137
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Three decision levels
138
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
Supply chain recovery by using flexibility
Supplier
Factory
Market
Supplier
Factory
DC
Supplier
Factory
DC
Market
DC
Market
Efficient supply chain design
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Role of proactive strategies
139
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
143
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
144
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
145
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
146
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Supply chain sustainability
147
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Supply chain viability
148
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Supply chain viability
149
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
150
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
151
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Viability of Intertwined Supply Networks
152
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
Learning objectives
154
Learning objectives for this Chapter:
?
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Introductory case-study
155
“Sustainable Supplier Management at Samsung”
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Basic definitions
156
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
157
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
158
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
159
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Make-or-Buy vs Outsourcing
160
“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
161
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Make or Buy analysis
162
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Make or Buy analysis
163
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Make or Buy analysis
164
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Sourcing strategy classifications
165
Number of suppliers
Sourcing principles
Geographical aspects
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Sourcing strategy classifications
166
Number of suppliers
Sourcing principles
Geographical aspects
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Single vs Multiple Sourcing
167
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Single Sourcing
168
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Local vs Global Sourcing
169
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
170
| Local Sourcing | Global Sourcing |
Advantages |
|
|
Disadvantages |
|
|
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Global sourcing: impact analysis
Costs
Quality
Service
Politics / Society / Nature
171
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Examples
172
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173
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
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
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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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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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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
Learning objectives
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Learning objectives for this Chapter:
?
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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.
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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)
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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:
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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:
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
Learning objectives
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Learning objectives for this Chapter:
?
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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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Supply Network Design Framework
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Global Supply Chain Design: Warehouse location problem (WLP)
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Given (parameters):
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):
Extremize (objective function):
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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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CWLP model
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Given (parameters):
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):
Ivanov D., Tsipoulanidis A., Schönberger J. (2021). Global Supply Chain and Operations Management, Springer, 3rd Edition
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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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:
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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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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