Paper Submission: 27 November 2020
Author Notification: 10 days
Journal Publication: November 2020
Dr Raosaheb V Latpate , .
Today’s market is highly competitive. The role of supply chain managers is to select best suppliers because major part of the capital is spent on purchasing raw material/semi finished items. The strategic decision of supply chain is to minimize the expenses on the purchase of items. There are several criteria involved in this problem; such as cost, quality, on-time delivery and long term relationship. Some of the criteria are quantitative in nature and some the criteria are qualitative in nature. Qualitative criteria are expressed in triangular fuzzy numbers. It requires defuzzification; the graded mean integration (GMI) representation method is used. Again all of these criteria are conflicting in nature that’s why fuzzy programming is used. For formulating the crisp model, it requires defuzzification; fuzzy compensatory operator is applied. This model gives us the idea about supplier selection as well as order quantity from each selected suppliers. Also, the numerical example is given to illustrate the above methods.
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Bachelors degree in the field of Computer Applications Master's Degree in the field of Statistics. He has keen interest in the area of data mining, operation research, supply chain modelling, fuzzy systems, Neural networks, and has published several papers in National and International conferences and journals. Dr. Raosaheb Latpate has more than seven years of experience in teaching undergraduate as well as postgraduate students. He has attended several workshops and faculty development programs. He has 7 Research Papers to his credit.
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