A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system
Global competition in manufacturing environment has forced the firms to consider increasing the quality and responsiveness to customization, while decreasing costs. The evolution of flexible manufacturing systems offers great potential for increasing flexibility and changing the basis of competition...
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| Veröffentlicht in: | International journal of production economics Jg. 79; H. 2; S. 101 - 111 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Amsterdam
Elsevier B.V
21.09.2002
Elsevier Elsevier Sequoia S.A |
| Schriftenreihe: | International Journal of Production Economics |
| Schlagworte: | |
| ISSN: | 0925-5273, 1873-7579 |
| Online-Zugang: | Volltext |
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| Abstract | Global competition in manufacturing environment has forced the firms to consider increasing the quality and responsiveness to customization, while decreasing costs. The evolution of flexible manufacturing systems offers great potential for increasing flexibility and changing the basis of competition by ensuring both cost effective and customized manufacturing at the same time. This paper presents a fuzzy multiple objective programming approach to facilitate decision making in the selection of a flexible manufacturing system (FMS). Fuzzy set theory is introduced in the model to incorporate the vague nature of future investments and the uncertainty of the production environment. Linguistic variables and triangular fuzzy numbers are used to quantify the vagueness inherent in decision parameters, e.g., increase in market response, improvement in quality, reduction in setup cost, and so forth. The model proposed in this paper determines the most appropriate FMS alternative through maximization of objectives such as reduction in labor cost, reduction in setup cost, reduction in work-in-process (WIP), increase in market response and improvement in quality, and minimization of capital and maintenance cost and floor space used. These objectives are assigned priorities indicating their importance levels using linguistic variables. A numerical example is presented to illustrate the application of the model developed in this paper. |
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| AbstractList | Global competition in manufacturing environment has forced the firms to consider increasing the quality and responsiveness to customization, while decreasing costs. The evolution of flexible manufacturing systems offers great potential for increasing flexibility and changing the basis of competition by ensuring both cost effective and customized manufacturing at the same time. This paper presents a fuzzy multiple objective programming approach to facilitate decision making in the selection of a flexible manufacturing system (FMS). Fuzzy set theory is introduced in the model to incorporate the vague nature of future investments and the uncertainty of the production environment. Linguistic variables and triangular fuzzy numbers are used to quantify the vagueness inherent in decision parameters, e.g., increase in market response, improvement in quality, reduction in setup cost, and so forth. The model proposed in this paper determines the most appropriate FMS alternative through maximization of objectives such as reduction in labor cost, reduction in setup cost, reduction in work-in-process (WIP), increase in market response and improvement in quality, and minimization of capital and maintenance cost and floor space used. These objectives are assigned priorities indicating their importance levels using linguistic variables. A numerical example is presented to illustrate the application of the model developed in this paper. This paper presents a fuzzy multiple objective programming approach to facilitate decision making in the selection of a flexible manufacturing system (FMS). The model proposed determines the most appropriate FMS alternative through maximization of objectives such as reduction in labor cost, reduction in setup cost, reduction in work-in-process, increase in market response and improvement in quality, and minimization of capital and maintenance cost and floor space used. |
| Author | Karsak, E.Ertugrul Kuzgunkaya, Onur |
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| Cites_doi | 10.1111/j.1540-5915.1981.tb00103.x 10.1080/095372898233678 10.1016/0377-2217(86)90027-5 10.1016/0377-2217(89)90253-1 10.1016/S0925-5273(96)00120-X 10.1080/07408178708975390 10.1016/0736-5845(93)90040-Q 10.1016/0925-5273(95)00114-X 10.1287/mnsc.17.4.B141 10.1080/002075498193822 10.1016/0925-5273(94)90125-2 10.1016/0278-6125(88)90002-7 10.1080/00207549108930103 10.1080/00207548608919787 10.1080/00207549608905042 10.1016/0165-0114(93)90399-3 10.1287/mnsc.32.7.890 10.1016/0377-2217(94)00041-A 10.1016/0165-0114(78)90031-3 10.1080/00137918808902975 |
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| Keywords | Investment decision analysis Fuzzy sets Flexible manufacturing systems Multiple-objective decision making |
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Fuzzy programming and linear programming with several objective functions publication-title: Fuzzy Sets and Systems doi: 10.1016/0165-0114(78)90031-3 – volume: 2 start-page: 169 year: 1983 ident: 10.1016/S0925-5273(00)00157-2_BIB3 article-title: Machine tool justification policies: their effect on productivity and profitability publication-title: Journal of Manufacturing Systems – volume: 34 start-page: 1 issue: 1 year: 1988 ident: 10.1016/S0925-5273(00)00157-2_BIB10 article-title: An economic evaluation model for advanced manufacturing systems publication-title: The Engineering Economist doi: 10.1080/00137918808902975 |
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| SubjectTerms | Decision analysis Flexible manufacturing systems Fuzzy logic Fuzzy sets Investment decision analysis Multiple-objective decision making Studies |
| Title | A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system |
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