Using Fuzzy Supply Chain Management in Food Industry

Research Area: Volume 5,Issue 3, May 2016 Year: 2016
Type of Publication: Article Keywords: Customers Demand, Fuzzy Set Theory, Capacity Allocated to Each Product, Fuzzy Supply Chain Model, Inventory Management Strategies
  • Navid Akar
  • Elaheh Daj
  • Shahrooz Sharifi Boroojerdi
  • Mina Souri
Journal: IJEIR Volume: 5
Number: 3 Pages: 206-209
Month: May
ISSN: 2277-5668
There are a number of distinct elements of uncertainty and complex interrelationships among various entities in a supply chain system; as a result, most of the time, it is very difficult to govern a supply chain appropriately. Furthermore, a supply chain becomes even more complicated when a new product is being released, thus customers’ demand will be more unpredictable due to lack of historical data. To cope with it and similar problems, in this paper, fuzzy set theory applied to capacity allocated to each product has been utilized to handle supply chain uncertainties. Moreover, three levels of supply chain including manufacturers, distributers, and retailors have been considered. Maple software has been used to run the model and obtain feasible solutions. The proposed approach helps decision makers to reduce costs in a supply chain and improve inventory management strategies in food industry.

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