The Logic of Logistics

Theory, Algorithms, and Applications for Logistics and Supply Chain Management

  • David Simchi-Levi
  • Xin Chen
  • Julien Bramel
Book

Part of the Springer Series in Operations Research book series (ORFE)

Table of contents

  1. Front Matter
    Pages i-xx
    PDF

  2. Introduction

    1. Introduction
      Pages 1-11

  3. Performance Analysis Techniques

    1. Front Matter
      Pages 12-12
      PDF
    2. Convexity and Supermodularity
      Pages 13-32
    3. Worst-Case Analysis
      Pages 33-53
    4. Average-Case Analysis
      Pages 55-68
    5. Mathematical Programming Based Bounds
      Pages 69-83

  4. Inventory Models

    1. Front Matter
      Pages 84-84
      PDF
    2. Economic Lot Size Models with Constant Demands
      Pages 85-104
    3. Economic Lot Size Models with Varying Demands
      Pages 105-117
    4. Stochastic Inventory Models
      Pages 119-140
    5. Integration of Inventory and Pricing
      Pages 141-165

  5. Design and Coordination Models

    1. Front Matter
      Pages 166-166
      PDF
    2. Procurement Contracts
      Pages 167-178
    3. Supply Chain Planning Models
      Pages 179-197
    4. Facility Location Models
      Pages 199-214

  6. Vehicle Routing Models

    1. Front Matter
      Pages 215-215
      PDF
    2. The Capacitated VRP with Equal Demands
      Pages 217-228
    3. The Capacitated VRP with Unequal Demands
      Pages 229-255
    4. The VRP with Time Window Constraints
      Pages 257-273

About this book

Introduction

Fierce competition in today's global market provides a powerful motivation for developing ever more sophisticated logistics systems. This book, written for the logistics manager and researcher, presents a survey of the modern theory and application of logistics. The goal of the book is to present the state of the art in the science of logistics management. As a result, the authors have written a timely and authoritative survey of this field that many practitioners and researchers will find makes an invaluable companion to their work.

Keywords

Logistics Logistics Management algorithms calculus optimization supply chain planning

Authors and affiliations

  • David Simchi-Levi
    • 1
  • Xin Chen
    • 2
  • Julien Bramel
    • 3
  1. 1.Department of Civil and Environmental EngineeringMassachusetts Institute of TechnologyCambridge
  2. 2.Department of Mechanical and Industrial EngineeringUniversity of Illinois, Urbana-ChampaignUrbana
  3. 3.CDC-IXIS Financial Guaranty (CFIG)New York

Bibliographic information

  • DOI https://doi.org/10.1007/b97669
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-22199-1
  • Online ISBN 978-0-387-22619-4
  • Series Print ISSN 1431-8598
  • About this book