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The Logic of Logistics

Theory, Algorithms, and Applications for Logistics Management

  • Textbook
  • © 1997

Overview

Authors:
  1. Julien Bramel

    1. Management Science Division, Graduate School of Business, Columbia University, New York, USA

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    You can also search for this author in PubMed   Google Scholar

  2. David Simchi-Levi

    1. Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, USA

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    1. Introduction

      • Julien Bramel, David Simchi-Levi
      Pages 1-11

  3. Performance Analysis Techniques

    1. Front Matter

      Pages 13-13
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    2. Worst-Case Analysis

      • Julien Bramel, David Simchi-Levi
      Pages 15-35

    3. Average-Case Analysis

      • Julien Bramel, David Simchi-Levi
      Pages 37-50

    4. Mathematical Programming Based Bounds

      • Julien Bramel, David Simchi-Levi
      Pages 51-65

  4. Vehicle Routing Models

    1. Front Matter

      Pages 67-67
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    2. The Capacitated VRP with Equal Demands

      • Julien Bramel, David Simchi-Levi
      Pages 69-80

    3. The Capacitated VRP with Unequal Demands

      • Julien Bramel, David Simchi-Levi
      Pages 81-106

    4. The VRP with Time Window Constraints

      • Julien Bramel, David Simchi-Levi
      Pages 107-123

    5. Solving the VRP using a Column Generation Approach

      • Julien Bramel, David Simchi-Levi
      Pages 125-141

  5. Inventory Models

    1. Front Matter

      Pages 143-143
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    2. Economic Lot Size Models with Constant Demands

      • Julien Bramel, David Simchi-Levi
      Pages 145-164

    3. Economic Lot Size Models with Varying Demands

      • Julien Bramel, David Simchi-Levi
      Pages 165-177

    4. Stochastic Inventory Models

      • Julien Bramel, David Simchi-Levi
      Pages 179-199

  6. Hierarchical Models

    1. Front Matter

      Pages 201-201
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    2. Facility Location Models

      • Julien Bramel, David Simchi-Levi
      Pages 203-217

    3. Integrated Logistics Models

      • Julien Bramel, David Simchi-Levi
      Pages 219-235

  7. Logistics Algorithms in Practice

    1. Front Matter

      Pages 237-237
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    2. A Case Study: School Bus Routing

      • Julien Bramel, David Simchi-Levi
      Pages 239-254
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Keywords

About this book

This book grew out a number of distribution and logistics graduate courses we have taught over the last ten years. In the first few years, the emphasis was on very basic models such as the traveling salesman problem, and on the seminal papers of Haimovich and Rinnooy Kan (1985), which analyzed a simple vehicle routing problem, and Roundy (1985), which introduced power-of-two policies and proved that they are effective for the one warehouse multi-retailer distribution system. At that time, few results existed for more complex, realistic distribution problems, stochastic inventory problems or the integration of these issues. In the last few years however, there has been renewed interest in the area of logistics among both industry and academia. A number of forces have contributed to this shift. First, industry has realized the magnitude of savings that can be achieved by better planning and management of complex logistics systems. In­ deed, a striking example is Wal-Mart's success story which is partly attributed to implementing a new logistics strategy, called cross-docking. Second, advances in information and communication technologies together with sophisticated decision support systems now make it possible to design, implement and control logistics strategies that reduce system-wide costs and improve service level. These decision support systems, with their increasingly user-friendly interfaces, are fundamentally changing the management of logistics systems.

Reviews

From the reviews of the second edition:

"The present book focuses on the application of operational research and mathematical modelling techniques to logistics and supply chain management (SCM) problems. The authors performed a substantial revision of the 1st edition and included a number of new subjects … . The book is carefully written and is an important reference for readers with a solid background in probability and optimisation theory … . the present book should be seen as a valuable guide describing techniques that can be applied or adapted to real-life situations." (Teresa Melo, OR News, Issue 25, 2005)

Authors and Affiliations

  • Management Science Division, Graduate School of Business, Columbia University, New York, USA

    Julien Bramel

  • Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, USA

    David Simchi-Levi

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