TY  - JOUR
SN  - 03772217
EP  - 70
AV  - none
N1  - cited By 107
SP  - 55
TI  - Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP
Y1  - 2007///
A1  - Bhattacharya, A.
A1  - Vasant, P.
JF  - European Journal of Operational Research
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-33751189125&doi=10.1016%2fj.ejor.2005.11.017&partnerID=40&md5=f3fc4be6aac57155b990bcf4ad71b3c6
VL  - 177
N2  - 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.
IS  - 1
ID  - scholars260
KW  - Decision making; Fuzzy control; Heuristic methods; Linear programming; Problem solving
KW  -  Degree of imprecision; Membership function (MF); Product-mix decision; Soft-sensing; Theory of constraints (TOC)
KW  -  Constraint theory
ER  -