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Logic of logistics : theory, algorithms, and applications for logistics management / David Simchi-Levi, Xin Chen and Julien Bramel.

By: Contributor(s): Material type: TextTextSeries: Springer series in operations research and financial engineeringPublication details: New York : Springer, 2014.Edition: 3rd edDescription: xx, 447 p. : illustrations ; 25 cmISBN:
  • 9781461491484
Subject(s): DDC classification:
  • 23 Si588 658.00151
Contents:
1. Introduction-- Part I Performance analysis techniques: 2. Convexity and supermodularity-- 3. Game theory-- 4. Worst-case analysis- 5. Average-case analysis-- 6. Mathematical programming-based bounds-- Part II Inventory models: 7. Economic lot size models with constant demands-- 8. Economic lot size models with varying demands-- 9. Stochastic inventory models-- 10. Integration of inventory and pricing-- Part III Competition, coordination and design models: 11. Supply chain competition and collaboration models-- 12. Procurement contracts-- 13. Process Flexibility-- 14. Supply chain planning models-- 15. Facility location models-- Part IV Vehicle routing models: 16. The capacitated VRP with equal demands-- 17. The capacitated VRP with unequal demands-- 18. The VRP with time-window constraints-- 19. Solving the VRP using a column-generation approach-- Part V Logistic algorithms in practice: 20. Network planning-- 21. A case study: school bus routing-- References-- Index.
Summary: 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.
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Includes bibliographical references (pages 421-439) and index.

1. Introduction--
Part I Performance analysis techniques:
2. Convexity and supermodularity--
3. Game theory--
4. Worst-case analysis-
5. Average-case analysis--
6. Mathematical programming-based bounds--

Part II Inventory models:
7. Economic lot size models with constant demands--
8. Economic lot size models with varying demands--
9. Stochastic inventory models--
10. Integration of inventory and pricing--

Part III Competition, coordination and design models:
11. Supply chain competition and collaboration models--
12. Procurement contracts--
13. Process Flexibility--
14. Supply chain planning models--
15. Facility location models--

Part IV Vehicle routing models:
16. The capacitated VRP with equal demands--
17. The capacitated VRP with unequal demands--
18. The VRP with time-window constraints--
19. Solving the VRP using a column-generation approach--

Part V Logistic algorithms in practice:
20. Network planning--
21. A case study: school bus routing--

References--
Index.

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.

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