eprintid: 482
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/04/82
datestamp: 2023-11-09 15:16:07
lastmod: 2023-11-09 15:16:07
status_changed: 2023-11-09 15:14:40
type: article
metadata_visibility: show
creators_name: Bhattacharya, A.
creators_name: Vasant, P.
creators_name: Sarkar, B.
creators_name: Mukherjee, S.K.
title: A fully fuzzified, intelligent theory-of-constraints product-mix decision
ispublished: pub
keywords: Decision theory; Intelligent systems; Problem solving; Robustness (control systems), Fuzzified linear programming; Intelligent decision, Constraint theory
note: cited By 35
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-36248943998&doi=10.1080%2f00207540600823187&partnerID=40&md5=be4b1782d52415c461a2178a1ce57c57
id_number: 10.1080/00207540600823187
full_text_status: none
publication: International Journal of Production Research
volume: 46
number: 3
pagerange: 789-815
refereed: TRUE
issn: 00207543
citation:   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