© 2009

Optimization and Logistics Challenges in the Enterprise

  • Wanpracha Chaovalitwongse
  • Kevin C. Furman
  • Panos M. Pardalos


  • A "one-stop shop” to learn about several industrial problems and logistics challenges and how to go about solving them by using recent advances in computational optimization


Part of the Springer Optimization and Its Applications book series (SOIA, volume 30)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Process Industry

    1. Front Matter
      Pages 1-1
    2. Ignacio E. Grossmann, Kevin C. Furman
      Pages 3-59
    3. Danielle Zyngier, Jeffrey D. Kelly
      Pages 61-95
    4. Marianthi Ierapetritou, Zukui Li
      Pages 97-144
  3. Supply Chain and Logistics Design

    1. Front Matter
      Pages 175-175
    2. John M. Mulvey, Hafize G. Erkan
      Pages 177-189
    3. Xiaozheng He, Anthony Chen, Wanpracha Art Chaovalitwongse, Henry Liu
      Pages 211-228
  4. Supply Chain Operation

    1. Front Matter
      Pages 253-253
    2. Ömer S. Benli
      Pages 255-275
    3. Jing Gong, Earl E. Lee, John E. Mitchell, William A. Wallace
      Pages 305-324
  5. Networking and Transportation

    1. Front Matter
      Pages 325-325
    2. Zhe Liang, Wanpracha Art Chaovalitwongse
      Pages 327-348
    3. Zhihong Shen, Fernando Ordòñez, Maged M. Dessouky
      Pages 349-371
    4. Richa Agarwal, Özlem Ergun, Lori Houghtalen, Okan Orsan Ozener
      Pages 373-409
    5. Ashwin Arulselvan, Clayton W. Commander, Michael J. Hirsch, Panos M. Pardalos
      Pages 411-431

About this book


Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap  from mathematical modeling and optimization techniques, to  practical solutions of enterprise operations. Mathematically distinct from classical supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries; for example,  pharmaceutical, chemical, transportation, and shipping, to name a few.  This book consists of high quality research results and may serve as a "one-stop shop" to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computational optimization.

This work is intended for practitioners from industry who use techniques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering.  It will also be of value to advanced graduate and PhD students and researchers in operations research, systems engineering, and management science.


Industrie Management SOIA Simulation Transport environment logistics model modeling optimization planning programming

Editors and affiliations

  • Wanpracha Chaovalitwongse
    • 1
  • Kevin C. Furman
    • 2
  • Panos M. Pardalos
    • 3
  1. 1.Department of Industrial and SystemsRutgers State University of New JerseyPiscatawayU.S.A.
  2. 2.Corporate Strategic ResearchExxonMobil Research and EngineeringAnnandaleU.S.A.
  3. 3.Dept. Industrial & SystemsUniversity of FloridaGainesvilleU.S.A.

Bibliographic information

Industry Sectors
Finance, Business & Banking