METHOD FOR SOLVING FUZZY INVENTORY MODEL WITH SPACE AND INVESTMENT CONSTRAINTS UNDER ROBUST RANKING TECHNIQUE
- Assistant professor, Department of Mathematics Government Arts college, Trichy-22.Tamilnadu ,India.
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In this paper, an EOQ (economic order quantity) model with space constraint has been analyzed in a fuzzy environment. The costs namely holding cost, shortage cost, setup cost, the ware house capacity, the investment amount and the objective are usually deterministic in nature. In this paper these have been considered to be triangular fuzzy numbers which are more realistic in nature. Robust’s ranking method [8] has been used for ranking the fuzzy numbers. The fuzzy inventory problem has been transformed in to crisp inventory problem. For this EOQ and minimum total cost have been calculated. This method has been illustrated by means of numerical example.
[A.Faritha Asma and E.C.Henry Amirtharaj (2015); METHOD FOR SOLVING FUZZY INVENTORY MODEL WITH SPACE AND INVESTMENT CONSTRAINTS UNDER ROBUST RANKING TECHNIQUE Int. J. of Adv. Res. 3 (Oct). 500-504] (ISSN 2320-5407). www.journalijar.com
