Logistics Systems Analysis

1. Front Matter

   Pages i-xvii

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2. The Use of Succinct Models and Data Summaries

   Pages 1-14

3. Cost

   Pages 15-48

4. Optimization Methods: One-to-One Distribution

   Pages 49-91

5. One-to-Many Distribution

   Pages 93-160

6. One-To-Many Distribution with Transshipments

   Pages 161-214

7. Many-To-Many Distribution

   Pages 215-268

8. Back Matter

   Pages 269-302

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This expanded edition of ALogistics Systems Analysis@ includes new - search results and numerous modifications to enhance comprehensiveness and clarity. It has two new sections, a new appendix, and more than half a dozen new figures. A few references have also been added, but the bibli- raphy is not exhaustive. Much of the new material is based on work by Profs. Alan Erera (Georgia Tech), Karen Smilowitz (Northwestern U. ), and by PhD candidate Yanfeng Ouyang (U. C. Berkeley). Their help is gratefully acknowledged. The financial support of the National Science Foundation and the Volvo Foundations Center of Excellence for the Future of Urban Transportation at U. C. Berkeley is also acknowledged. The new appendix presents the logic behind the traveling salesman and vehicle routing results used in Sec. 4. 2 to describe the transportation ope- tion; Chapter 4 is more self-contained as a result. New section 5. 6 int- duces and evaluates a general method that automatically translates the c- tinuum approximation recipes of Chapters 4 and 5 into discrete system designs. This closes a gap in previous editions. Other additions include an explanation of how to develop system designs that can efficiently acc- modate real-time control strategies to manage uncertainty (new section 4. 6. 3), and extensions of the many-to-many design ideas of Chap. 6 (in - panded section 6. 5. 3). An errata corrigendum will be posted on the - thors=s web site: http://www. ce. berkeley.

• Distribution
• Facilities Location
• Facility Location
• Inventory
• Lagerhaltung
• Logistics
• Logistik
• Physical Distribution
• Standort
• Transport
• Transportation
• optimization
• Engineering Economics

• Institute of Transportation Studies, 416 McLaughlin Hall, University of California, Berkeley, USA

  Carlos F. Daganzo

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