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Bhattacharya, Arijit 
ORCID: https://orcid.org/0000-0001-5698-297X and Vasant, Pandian
(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 0377-2217
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.
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Social Sciences > Norwich Business School |
| UEA Research Groups: | Faculty of Social Sciences > Research Groups > Innovation, Technology and Operations Management |
| Depositing User: | LivePure Connector |
| Date Deposited: | 25 Oct 2019 08:30 |
| Last Modified: | 22 Oct 2022 05:22 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/72776 |
| DOI: | 10.1016/j.ejor.2005.11.017 |
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