Multifacility location with imprecise data
Multifacility location with imprecise data
Locational decisions often suffer from lack of precise data. In this study, we consider a class of multifacility location problems where the demands of existing and new facilities are unknown, with a known set of possible realizations. The set may be finite or infinite. In the latter case, the data is assumed to be of interval type. We use various criteria to evaluate candidate solutions to these problems and build a framework for decision making.
Includes bibliographical references leaves 75-78.
Cataloged from PDF version of article.
Demir, Muhittin Hakan
- Bilkent University Turkey
Industry--Location--Mathematical models., Uncertain data, Site selection, multifacility minisum problem, imprecise optimization, Endüstri ve Endüstri Mühendisliği, Industry--Location--Mathematical models, Industrial and Industrial Engineering, HD58 .D46 1994, Facility layout, Production functions (Economic theory)., Facility location, Production functions (Economic theory)
Industry--Location--Mathematical models., Uncertain data, Site selection, multifacility minisum problem, imprecise optimization, Endüstri ve Endüstri Mühendisliği, Industry--Location--Mathematical models, Industrial and Industrial Engineering, HD58 .D46 1994, Facility layout, Production functions (Economic theory)., Facility location, Production functions (Economic theory)
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