A fully fuzzified, intelligent theory-of-constraints product-mix decision
The present research work outlines a fuzzified approach using fuzzy linear programming (FLP) using a suitably designed smooth logistic membership function (MF) for finding fuzziness patterns at disparate levels of satisfaction for theory of constraints-based (TOC) product-mix decision problems. The...
| Main Authors: | , , , |
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| Format: | Citation Index Journal |
| Language: | English |
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2008
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| Online Access: | http://scholars.utp.edu.my/id/eprint/316/ http://scholars.utp.edu.my/id/eprint/316/1/paper.pdf |
| _version_ | 1848658957917224960 |
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| author | A., Bhattacharya P., Vasant B., Sarkar S.K., Mukherjee |
| author_facet | A., Bhattacharya P., Vasant B., Sarkar S.K., Mukherjee |
| author_sort | A., Bhattacharya |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | The present research work outlines a fuzzified approach using fuzzy linear programming (FLP) using a suitably designed smooth logistic membership function (MF) for finding fuzziness patterns at disparate levels of satisfaction for theory of constraints-based (TOC) product-mix decision problems. The objective of the present work is to find fuzziness patterns of product-mix decisions with disparate levels of satisfaction of the decision-maker (DM). Another objective is to provide a robust, quantified monitor of the level of satisfaction among DMs and to calibrate these levels of satisfaction against DM expectations. Product-mix decision should take into account considerations such as the DM's level of satisfaction (sometimes called 'emotions') in order to make the decision a robust one. Sensitivity of the decision has been focused on a bottleneck-free, optimal product-mix solution of a TOC problem. The inefficiency of traditional linear programming (LP) in handling multiple-bottleneck problems using TOC is discussed using an illustrative example. Relationships among the degree of fuzziness, level of satisfaction and the throughput of modified TOC guide decision-makers (DM) under tripartite fuzzy environment in obtaining their product-mix choice trading-off with a pre-determined allowable fuzziness.
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| first_indexed | 2025-11-13T07:22:47Z |
| format | Citation Index Journal |
| id | oai:scholars.utp.edu.my:316 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:22:47Z |
| publishDate | 2008 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:3162017-01-19T08:26:20Z http://scholars.utp.edu.my/id/eprint/316/ A fully fuzzified, intelligent theory-of-constraints product-mix decision A., Bhattacharya P., Vasant B., Sarkar S.K., Mukherjee TK Electrical engineering. Electronics Nuclear engineering The present research work outlines a fuzzified approach using fuzzy linear programming (FLP) using a suitably designed smooth logistic membership function (MF) for finding fuzziness patterns at disparate levels of satisfaction for theory of constraints-based (TOC) product-mix decision problems. The objective of the present work is to find fuzziness patterns of product-mix decisions with disparate levels of satisfaction of the decision-maker (DM). Another objective is to provide a robust, quantified monitor of the level of satisfaction among DMs and to calibrate these levels of satisfaction against DM expectations. Product-mix decision should take into account considerations such as the DM's level of satisfaction (sometimes called 'emotions') in order to make the decision a robust one. Sensitivity of the decision has been focused on a bottleneck-free, optimal product-mix solution of a TOC problem. The inefficiency of traditional linear programming (LP) in handling multiple-bottleneck problems using TOC is discussed using an illustrative example. Relationships among the degree of fuzziness, level of satisfaction and the throughput of modified TOC guide decision-makers (DM) under tripartite fuzzy environment in obtaining their product-mix choice trading-off with a pre-determined allowable fuzziness. 2008 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/316/1/paper.pdf A., Bhattacharya and P., Vasant and B., Sarkar and S.K., Mukherjee (2008) A fully fuzzified, intelligent theory-of-constraints product-mix decision. [Citation Index Journal] http://www.scopus.com/inward/record.url?eid=2-s2.0-36248943998&partnerID=40&md5=61f6dbb0e9316a3c05a83e5148230006 10.1080/00207540600823187 10.1080/00207540600823187 10.1080/00207540600823187 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering A., Bhattacharya P., Vasant B., Sarkar S.K., Mukherjee A fully fuzzified, intelligent theory-of-constraints product-mix decision |
| title | A fully fuzzified, intelligent theory-of-constraints product-mix decision
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| title_full | A fully fuzzified, intelligent theory-of-constraints product-mix decision
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| title_fullStr | A fully fuzzified, intelligent theory-of-constraints product-mix decision
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| title_full_unstemmed | A fully fuzzified, intelligent theory-of-constraints product-mix decision
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| title_short | A fully fuzzified, intelligent theory-of-constraints product-mix decision
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| title_sort | fully fuzzified, intelligent theory-of-constraints product-mix decision |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/316/ http://scholars.utp.edu.my/id/eprint/316/ http://scholars.utp.edu.my/id/eprint/316/ http://scholars.utp.edu.my/id/eprint/316/1/paper.pdf |