@article{scholars260,
            year = {2007},
           pages = {55--70},
         journal = {European Journal of Operational Research},
             doi = {10.1016/j.ejor.2005.11.017},
            note = {cited By 107},
          volume = {177},
          number = {1},
           title = {Soft-sensing of level of satisfaction in TOC product-mix decision heuristic using robust fuzzy-LP},
          author = {Bhattacharya, A. and Vasant, P.},
            issn = {03772217},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-33751189125&doi=10.1016\%2fj.ejor.2005.11.017&partnerID=40&md5=f3fc4be6aac57155b990bcf4ad71b3c6},
        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},
        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. {\^A}{\copyright} 2006 Elsevier B.V. All rights reserved.}
}