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A Long View of Research and Practice in Operations Research and Management Science: The Past and the Future (International Series in Operations Research & Management Science) Hardcover – September 17, 2010


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Editorial Reviews

From the Author

We would like to thank Professor Fred Hillier (Stanford University), the editor of Springer's International Series in Operations Research and Management Science,who strongly encouraged us to work on this book from the very beginning. The book received strong support from colleagues from many universities and companies,many of them committing to contribute to this collection. We would like to express our sincere appreciation to them for providing their leading edge research for this.

(Authors, in order of last name of first authors of chapters)

Mustafa Atlihan, LINDO Systems
Kevin Cunningham, LINDO Systems
Gautier Laude, LINDO Systems
Linus Schrage, University of Chicago
Challenges in adding a stochastic programming/scenario planning capability to a general purpose optimization modeling system


Manel Baucells, IESE Business School,
Rakesh Sarin, University of California,Los Angeles
Optimizing happiness

Dirk Beyer,
Scott Clearwater,
Kay-Yut Chen,
Bernardo A. Huberman,
Shailendra Jain,
Zainab Jamal,
Bob Tarjan,
Julie Ward,
Alex Zhang,
Bin Zhang,
Qi Feng,
Alper Sen,
Hsiu-Khuern Tang,
Krishna Venkatraman
M-Factor, Inc.,
Hewlett-Packard Labs,
University of Texas at Austin,
Bilkent University,
Intuit
Advances in business analytics at HP Laboratories


John Birge, University of Chicago
The persistence and effectiveness of large-scale mathematical programming strategies: Projection, outer linearization, and inner linearization


Gerald G. Brown (and Richard E. Rosenthal,deceased)
Naval Postgraduate School
Optimization tradecraft: Hard-won insights from real-world decision support


Daniel Dolk, Naval Postgraduate School
Structured modeling and model management


Donald Erlenkotter, University of California,Los Angeles
Economic planning models for India in the 1960s


Robert Fourer, Northwestern University
Cyber-infrastructure and optimization


Arthur M. Geoffrion, UCLA
Glenn Graves, UCLA
Multi-commodity distribution system design by Bender's decomposition


Hau L. Lee, Stanford University
Global trade process and supply chain management

Grace Lin,
Ko-Yang Wang
World Resource Optimization Inc.,
IBM Global Business Services
Sustainable globally integrated enterprise

Richard Powers, formerly at INSIGHT Inc.
Retrospective: 25 years applying management science to logistics


ManMohan S. Sodhi, City University London
Christopher S. Tang, University of California,Los Angeles
Capitalizing on our strengths to avail opportunities in the face of weakness and threats


Jonathan Turner, Northwestern University,
Sanjay Mehrotra, Northwestern University,
Mark S. Daskin, University of Michigan
Perspectives on healthcare resource management problems

From the Back Cover

From the Foreword by Marshall Fisher, The Wharton School, University of Pennsylvania: As generation of academics and practitioners follows generation, it is worthwhile to compile long views of the research and practice in the past to shed light on research and practice going forward. This collection of peer-reviewed articles is intended to provide such a long view. This book contains a collection of chapters written by leading scholars/practitioners who have continued their efforts in developing and/or implementing innovative OR/MS tools for solving real world problems. In this book, the contributors share their perspectives about the past, present and future of OR/MS theoretical development, solution tools, modeling approaches, and applications. Specifically, this book collects chapters that offer insights about the following topics: • Survey articles taking a long view over the past two or more decades to arrive at the present state of the art while outlining ideas for future research. Surveys focus on use of a particular OR/MS approach, e.g., mathematical programming (LP, MILP, etc.) and solution methods for particular family of application, e.g., distribution system design, distribution planning system, health care. • Autobiographical or biographical accounts of how particular inventions (e.g., Structured Modeling) were made. These could include personal experiences in early development of OR/MS and an overview of what has happened since. • Development of OR/MS mathematical tools (e.g., stochastic programming, optimization theory). • Development of OR/MS in a particular industry sector such as global supply chain management. • Modeling systems for OR/MS and their development over time as well as speculation on future development (e.g., LINDO, LINGO, and What’sBest!) • New applications of OR/MS models (e.g., happiness) The target audience of this book is young researchers, graduate/advanced undergraduate students from OR/MS and related fields like computer science, engineering, and management as well as practitioners who want to understand how OR/MS modeling came about over the past few decades and what research topics or modeling approaches they could pursue in research or application.
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A Long View of Research and Practice in Operations Research and Management Science: The Past and the Future (International Series in Operations Research & Management Science)
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