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�Location Optimization in the Construction Supply Chain� �CSU-Pueblo�Justin Holman, PhD�02-24-17

Copyright 2017 TerraSeer, Inc. All rights reserved.

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

Mapping Exercise

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

Mapping Exercise

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Background

  • Education
    • Centennial High School
      • Diploma, 1986
    • Claremont McKenna College
      • B.A., Philosophy and Mathematics, 1990
    • University of Oregon
      • Geography, GIS, Spatial Statistics, Cartographic Visualization
      • M.S., 1996
      • Ph.D., 2004
    • Northwestern University - Kellogg School of Management
      • Certificate, Designing and Managing the Supply Chain, 1998

[Pro Tip: If you go to grad school, choose a degree that won’t require massive debt; i.e., after a Bachelor’s get paid, even if it’s not much, to learn.]

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Background

  • Professional Experience
    • Dynamix Inc.
      • Software Development
    • LogicTools, Inc.
      • Software Development, Supply Chain, Network Optimization, Map UI
      • Acquired by IBM
    • US Geological Survey
      • Data Visualization, Spatial Statistics, Environmental Modeling; completed Ph.D.
    • MapInfo
      • Retail Location Research, Applied Statistical Modeling, Custom Software Development, Business Consulting, Sales
    • TerraSeer
      • Entrepreneurship, SaaS Development, Business Management, Virtual Office
      • Automotive Aftermarket, Construction Supply Industry

[Pro Tip: Choose jobs where you get paid to learn.]

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Background: Select Clients

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Background

  • Combination of Skills-Interests
    • Data Analysis and Visualization
    • Retail Demand Forecasting
    • Supply Chain Optimization
    • Software Development
    • Industry Insight via client projects

    • “Big Data” Analytics Opportunity
      • Automotive Aftermarket
      • Construction Supply
      • Hard goods distribution

[Pro Tip: Planning ahead for specific career? Not always effective. A unique set of skills and perspective may become more valuable than mainstream training.]

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

Mapping Exercise

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Overview of Construction Supply Chain

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Overview of Construction Supply Chain

Raw Materials

Manufacturing

Assembly

Engineering

Distribution

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Overview of Construction Supply Chain

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Overview of Construction Supply Chain

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Overview of Construction Supply Chain

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Overview of Construction Supply Chain

Types of Location Problems

Raw materials

Production/Plant location

Assembly/Kitting

Distribution Centers (DCs)

Cross docks

Branch

Retail Location

Showroom

Construction Site

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Overview of Construction Supply Chain

Types of Location Problems

Raw materials

Production/Plant location

Assembly/Kitting

Distribution Centers (DCs)

Cross docks

Branch

Retail Location

Showroom

Construction Site

Min Cost

Max Revenue

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Overview of Construction Supply Chain

Types of Location Problems

Raw materials

Production/Plant location

Assembly/Kitting

Distribution Centers (DCs)

Cross docks

Branch (Counter + Delivery)

Retail Location

Showroom

Construction Site

Min Cost

Max Revenue

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

Mapping Exercise

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

2 Competing Objectives

- Maximize Revenue

- Minimize Delivery Costs

Mapping Exercise

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

2 Competing Objectives

- Maximize Revenue

- Minimize Delivery Costs

Mapping Exercise

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Sugar Land, TX Example

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Sugar Land Model Trade Area

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Disaggregate Trade Area Forecasting

Counter

$20,009

Delivery

$207,653

Total

$227,662

Model predicts anticipated counter sales and delivery sales originating within each trade area ZIP Code

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Branch Sales Forecasting

Sugar Land

$18,500,000

Model calculates a branch sales forecast by summing ZIP forecasts and making adjustments (see below)

Adjustments: Beyond Sales (proportion of sales projected to come from beyond the trade area), Branch Size (model assumed an average branch size of 16,000 gsf), Region/DMA (White Cap achieves stronger performance in some markets than others), Contractor Density (markets with exceptionally high contractor counts achieve stronger sales)

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Branch Sales Components

Sugar Land

$18,500,000

RES

38%

CAD

32%

IC

11%

GWP

5%

All Trade

14%

Model also provides anticipated sales distribution by customer category

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Houston Market

Results suggest that 3 additional $10M+ branches can be supported in the Houston market

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WINNERS

LOSERS

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Houston Market

Results suggest that 3 additional $10M+ branches can be supported in the Houston market

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

2 Competing Objectives

- Maximize Revenue

- Minimize Delivery Costs

Role of Mapping and Visualization

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Miami Baseline

Demand Met: $29.9 M

Delivery Cost: $1.6 M

Average Distance: 22 mi

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Miami Optimized

Demand Met: $32.5 M

Delivery Cost: $1.5 M

Average Distance: 20 mi

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Miami Optimized – Add 1

Demand Met: $32.5 M

Delivery Cost: $0.5 M

Average Distance: 7 mi

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

Mapping Exercise

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Branch Location Problem:

What is the optimal construction supply branch deployment strategy in Denver Metro?

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Overview

Background/Experience/Perspective

Overview of Construction Supply Chain

The Branch Location Problem

Mapping Exercise

Why should maps be used as often as spreadsheets?

Homework Assignment: Read blog post entitled “Geospatial Visualization in Business: Bringing John Snow into the Boardroom

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Visit me at justinholman.com

Copyright 2013 TerraSeer, Inc. All rights reserved.