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Intelligent Modeling Essential to Get Good Results

  • Katta G. Murty
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 137)

Abstract

Operations Research/Management Science (OR/MS) theory has developed efficient algorithms for solving some single-objective optimization models that are highly structured.

In real-world applications, decision problems tend to have many complex features, uncertainty influencing many important aspects, and several other complications. Constructing a mathematical model to find an optimum decision in such problems is often a very difficult task that requires a lot of skill. The trouble is that none of the models discussed in OR theory may fit perfectly the problem you need to solve. As Wolfram (2002) suggests “… the idea of describing behavior in terms of mathematical equations works well where the behavior is fairly simple. It almost inevitably fails whenever the behavior is more complex.”

Keywords

Planning Period Container Terminal Integer Programming Model Quay Crane Simple Chain 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Dept. Industrial and Operations EngineeringUniversity of MichiganAnn ArborUSA
  2. 2.Systems Engineering DepartmentKing Fahd University of Petroleum and MineralsDhahranSaudi Arabia

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