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OR Practice—A Scenario Approach to Capacity Planning

OR Practice—A Scenario Approach to Capacity Planning Production capacity has always been one of the most important strategic variables for the major automobile companies. Decisions by individual companies concerning the overall level of capacity, the type of facility (e.g., the level of flexibility), and the location of that capacity (e.g., in the United States or abroad) are discussed in great detail in the popular business press. In this paper, we describe a model developed for General Motors to aid in making decisions about capacity for four of their auto lines. The model incorporates elements of scenario planning, integer programming, and risk analysis. All the input and output is done using Lotus 1-2-3. Although the presentation is motivated by the particular application in the auto industry, the model represents a general purpose approach that is applicable to a wide variety of decisions under risk. An example in this paper uses actual data, appropriately transformed to ensure confidentiality. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Operations Research INFORMS

OR Practice—A Scenario Approach to Capacity Planning

Operations Research , Volume 37 (4): 11 – Aug 1, 1989
11 pages

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Publisher
INFORMS
Copyright
Copyright © INFORMS
Subject
OR Practice
ISSN
0030-364X
eISSN
1526-5463
DOI
10.1287/opre.37.4.517
Publisher site
See Article on Publisher Site

Abstract

Production capacity has always been one of the most important strategic variables for the major automobile companies. Decisions by individual companies concerning the overall level of capacity, the type of facility (e.g., the level of flexibility), and the location of that capacity (e.g., in the United States or abroad) are discussed in great detail in the popular business press. In this paper, we describe a model developed for General Motors to aid in making decisions about capacity for four of their auto lines. The model incorporates elements of scenario planning, integer programming, and risk analysis. All the input and output is done using Lotus 1-2-3. Although the presentation is motivated by the particular application in the auto industry, the model represents a general purpose approach that is applicable to a wide variety of decisions under risk. An example in this paper uses actual data, appropriately transformed to ensure confidentiality.

Journal

Operations ResearchINFORMS

Published: Aug 1, 1989

Keywords: Keywords : facilities/equipment planning: determining approach capacity for production facilities ; programming, integer applications: integer programming model for capacity planning

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