Optimization Modeling for Supply Chain Applications

How to design an efficient and cost-effective logistics network? How to plan procurement, production, and transportation to meet customer demand with minimum operating costs? How to sequence jobs through machines for on-time order completion? And how to dispatch vehicles and schedule their routes to serve customers efficiently?

Answers to these questions are key to effective and efficient supply chain operations. This book provides a systematic and comprehensive coverage of data-driven optimization modeling techniques and their applications in supply chain management. From the methodological perspective, it introduces various model building techniques including mathematical programming (linear and integer programming), network optimization, and constraint programming. From the application perspective, it covers the topics of supply chain network design, production planning, supply chain configuration, machine scheduling, and vehicle routing, among others. It also introduces the state-of-the-art optimization modeling software, the CPLEX OPL Studio, as a powerful and accessible tool for implementing the modeling techniques and solution methods in this book. Sample codes will be available upon purchase of the book.

This book is essential reading material for researchers and students in business, data analytics, industrial engineering, computer science and applied math who would like to learn optimization modeling in the context of supply chains. It is also suitable for practitioners and consultants in industry who would like to understand the behind-the-scene techniques in off-the-shelf commercial optimization software. As a textbook, it can be used for an advanced undergraduate or graduate course in supply chain management, operations management, data analytics, economics, and industrial engineering.

Contents:

• Preface

• About the Author

• List of Figures

• List of Tables

• Modeling Methodologies:

  • Introduction and Overview
  • Linear Programming
  • Integer Programming
  • Network Optimization
  • Quadratic Unconstrained Binary Optimization (QUBO) Modeling
  • Constraint Programming

• Supply Chain Applications:

  • Supply Chain Network Design
  • Production Planning
  • Resource Planning
  • Supply Chain Configuration
  • Machine Scheduling
  • Resource-Constrained Project Scheduling
  • Traveling Salesman Problem and Its Variants
  • Vehicle Routing Problem and Its Variants
  • Credit Term Optimization

• Appendices:

  • CPLEX OPL Studio
  • Simplex Method for Linear Programming
  • Exact Methods for Integer Programming
  • A Primer in Constraint Programming Methods

• Instructions for Downloadable Electronic Slides

• References

• Index

Readership: For advanced undergraduate and graduate students, researchers and practitioners in operations research, supply chain management, operations management and industrial engineering.
Key Features:

• Introduction to optimization modeling (data-driven Prescriptive Analytics) using examples and applications in supply chains
• Focus on modeling techniques on model building rather than solution algorithms, which is often the first step in developing industry strength optimization tools and decision-support systems
• Comprehensive and systematic treatment on widely applied data-driven optimization techniques: linear programming, integer programming, network optimization and constraint programming
• Application modules for the prominent supply chain applications: network design, production planning, supp

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