relation: https://khub.utp.edu.my/scholars/260/
title: Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP
creator: Bhattacharya, A.
creator: Vasant, P.
description: Product-mix decision through theory of constraints (TOC) should take into account considerations like the decision-maker's (DM) level of satisfaction in order to make product-mix decision a robust one. Sensitivity of the decision made, needs to be focused for a bottle-neck-free, optimal product-mix solution of TOC problem. A membership function (MF) has been suitably designed in the present work, first in finding out the degree of imprecision in the product-mix decision, and thereafter to sense the level of satisfaction of the DM. Inefficiency of traditional linear programming (LP) in handling multiple-bottleneck problem through TOC has been discussed through an illustrative example. Comparison of traditional LP over fully fuzzified-LP (FLP) model has also been addressed to elucidate the advantages of FLP in TOC. Key objective of this work is to guide DMs in finding out the optimal product-mix with higher degree of satisfaction with lesser degree of fuzziness under tripartite fuzzy environment. © 2006 Elsevier B.V. All rights reserved.
date: 2007
type: Article
type: PeerReviewed
identifier:   Bhattacharya, A. and Vasant, P.  (2007) Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP.  European Journal of Operational Research, 177 (1).  pp. 55-70.  ISSN 03772217     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-33751189125&doi=10.1016%2fj.ejor.2005.11.017&partnerID=40&md5=f3fc4be6aac57155b990bcf4ad71b3c6
relation: 10.1016/j.ejor.2005.11.017
identifier: 10.1016/j.ejor.2005.11.017