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Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP

A., Bhattacharya and P., Vasant (2007) Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP. [Citation Index Journal]

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Abstract

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.

Item Type:Citation Index Journal
Uncontrolled Keywords:Decision making; Fuzzy control; Heuristic methods; Linear programming; Problem solving; Degree of imprecision; Membership function (MF); Product-mix decision; Soft-sensing; Theory of constraints (TOC); Constraint theory
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:302
Deposited By: Mr Helmi Iskandar Suito
Deposited On:03 Mar 2010 01:20
Last Modified:19 Jan 2017 08:26

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