Selection of performance measure in JIT through fuzzy logic-based simulation Online publication date: Thu, 16-Jul-2015
by Gurinder Singh; Inderpreet Singh Ahuja
Asian J. of Management Science and Applications (AJMSA), Vol. 1, No. 4, 2014
Abstract: The present study is a new approach for finding the most significant performance measure in JIT with the help of fuzzy logic rule base system. Fuzzy logic is a decision making tool which depends upon various factors like percentage JIT implementation in the organisation and gain in performance measure due to implementation of JIT. The success of any industry depends on quality product with optimum utilisation of men material and machinery and to achieve the above said factors the just-in-time (JIT) practice should be efficient and effective. Fuzzy base manufacturing system (FBMS) has been used for the present study because of the fact that fuzzy logic tool is best suited for dynamic environment where decisions are required to be taken on the basis of multi variable parameters. The main focus of this study is the modelling of a 'fuzzy-based simulation' for finding the significance of performance measure of JIT considering percentage of JIT implementation and percentage gain in performance measure due to implementation of JIT as parameters.
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