@article{scholars482,
            year = {2008},
         journal = {International Journal of Production Research},
           pages = {789--815},
          number = {3},
            note = {cited By 35},
          volume = {46},
             doi = {10.1080/00207540600823187},
           title = {A fully fuzzified, intelligent theory-of-constraints product-mix decision},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-36248943998&doi=10.1080\%2f00207540600823187&partnerID=40&md5=be4b1782d52415c461a2178a1ce57c57},
        keywords = {Decision theory; Intelligent systems; Problem solving; Robustness (control systems), Fuzzified linear programming; Intelligent decision, Constraint theory},
        abstract = {The present research work outlines a fuzzified approach using fuzzy linear programming (FLP) using a suitably designed smooth logistic membership function (MF) for finding fuzziness patterns at disparate levels of satisfaction for theory of constraints-based (TOC) product-mix decision problems. The objective of the present work is to find fuzziness patterns of product-mix decisions with disparate levels of satisfaction of the decision-maker (DM). Another objective is to provide a robust, quantified monitor of the level of satisfaction among DMs and to calibrate these levels of satisfaction against DM expectations. Product-mix decision should take into account considerations such as the DM's level of satisfaction (sometimes called 'emotions') in order to make the decision a robust one. Sensitivity of the decision has been focused on a bottleneck-free, optimal product-mix solution of a TOC problem. The inefficiency of traditional linear programming (LP) in handling multiple-bottleneck problems using TOC is discussed using an illustrative example. Relationships among the degree of fuzziness, level of satisfaction and the throughput of modified TOC guide decision-makers (DM) under tripartite fuzzy environment in obtaining their product-mix choice trading-off with a pre-determined allowable fuzziness.},
          author = {Bhattacharya, A. and Vasant, P. and Sarkar, B. and Mukherjee, S. K.},
            issn = {00207543}
}