relation: https://khub.utp.edu.my/scholars/482/ title: A fully fuzzified, intelligent theory-of-constraints product-mix decision creator: Bhattacharya, A. creator: Vasant, P. creator: Sarkar, B. creator: Mukherjee, S.K. 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. date: 2008 type: Article type: PeerReviewed identifier: Bhattacharya, A. and Vasant, P. and Sarkar, B. and Mukherjee, S.K. (2008) A fully fuzzified, intelligent theory-of-constraints product-mix decision. International Journal of Production Research, 46 (3). pp. 789-815. ISSN 00207543 relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-36248943998&doi=10.1080%2f00207540600823187&partnerID=40&md5=be4b1782d52415c461a2178a1ce57c57 relation: 10.1080/00207540600823187 identifier: 10.1080/00207540600823187