Skip to main content
SpringerLink
Log in

Optimization and Logistics Challenges in the Enterprise

  • Book
  • © 2009

Overview

Editors:
  1. Wanpracha Chaovalitwongse

    1. Department of Industrial and Systems, Rutgers State University of New Jersey, Piscataway, U.S.A.

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Kevin C. Furman

    1. Corporate Strategic Research, ExxonMobil Research and Engineering, Annandale, U.S.A.

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Panos M. Pardalos

    1. Dept. Industrial & Systems, University of Florida, Gainesville, U.S.A.

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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 book series: Springer Optimization and Its Applications (SOIA, volume 30)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Process Industry

    1. Front Matter

      Pages 1-1
      Download chapter PDF

  3. Part I Process Industry

    1. Challenges in Enterprise Wide Optimization for the Process Industries

      • Ignacio E. Grossmann, Kevin C. Furman
      Pages 3-59

    2. Multi-Product Inventory Logistics Modeling in the Process Industries

      • Danielle Zyngier, Jeffrey D. Kelly
      Pages 61-95

    3. Modeling and Managing Uncertainty in Process Planning and Scheduling

      • Marianthi Ierapetritou, Zukui Li
      Pages 97-144

    4. A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity

      • Tiravat Assavapokee, Matthew J. Realff, Jane C. Ammons
      Pages 145-174

  4. Supply Chain and Logistics Design

    1. Front Matter

      Pages 175-175
      Download chapter PDF

  5. Part II Supply Chain and Logistics Design

    1. An Enterprise Risk Management Model for Supply Chains

      • John M. Mulvey, Hafize G. Erkan
      Pages 177-189

    2. Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations

      • Tan Miller
      Pages 191-210

    3. On the Quadratic Programming Approach for Hub Location Problems

      • Xiaozheng He, Anthony Chen, Wanpracha Art Chaovalitwongse, Henry Liu
      Pages 211-228

    4. Nested Partitions and Its Applications to the Intermodal Hub Location Problem

      • Weiwei Chen, Liang Pi, Leyuan Shi
      Pages 229-251

  6. Supply Chain Operation

    1. Front Matter

      Pages 253-253
      Download chapter PDF

  7. Part III Supply Chain Operation

    1. Event-Time Models for Supply Chain Scheduling

      • Ömer S. Benli
      Pages 255-275

    2. A Dynamic and Data-Driven Approach to the News Vendor Problem Under Cyclical Demand

      • Gokhan Metan, Aur’elie Thiele
      Pages 277-304

    3. Logic-based MultiObjective Optimization for Restoration Planning

      • Jing Gong, Earl E. Lee, John E. Mitchell, William A. Wallace
      Pages 305-324

  8. Networking and Transportation

    1. Front Matter

      Pages 325-325
      Download chapter PDF

  9. Part IV Networking and Transportation

    1. The Aircraft Maintenance Routing Problem

      • Zhe Liang, Wanpracha Art Chaovalitwongse
      Pages 327-348

    2. The Stochastic Vehicle Routing Problem for Minimum Unmet Demand

      • Zhihong Shen, Fernando Ordòñez, Maged M. Dessouky
      Pages 349-371

    3. Collaboration in Cargo Transportation

      • Richa Agarwal, Özlem Ergun, Lori Houghtalen, Okan Orsan Ozener
      Pages 373-409

    4. Communication Models for a Cooperative Network of Autonomous Agents

      • Ashwin Arulselvan, Clayton W. Commander, Michael J. Hirsch, Panos M. Pardalos
      Pages 411-431
Back to top

Keywords

About this book

In a world with highly competitive markets and economic instability due to capitalization, industrial competition has increasingly intensified. In order for many industries to survive and succeed, they need to develop highly effective coordination between supply chain partners, dynamic collaborative and strategic alliance relationships, and efficient logistics and supply chain network designs. Consequently, in the past decade, there has been an explosion of interest among academic researchers and industrial practitioners in innovative supply chain and logistics models, algorithms, and coordination policies. Mathematically distinct from classical supply chain management, this emerging research area has been proven to be useful and applicable to a wide variety of industries. This book brings together recent advances in supply chain and logistics research and computational optimization that apply to a collaborative environment in the enterprise.

Editors and Affiliations

  • Department of Industrial and Systems, Rutgers State University of New Jersey, Piscataway, U.S.A.

    Wanpracha Chaovalitwongse

  • Corporate Strategic Research, ExxonMobil Research and Engineering, Annandale, U.S.A.

    Kevin C. Furman

  • Dept. Industrial & Systems, University of Florida, Gainesville, U.S.A.

    Panos M. Pardalos

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation