An optimization of fuzzy EOQ model in healthcare industries with three different demand pattern using signed distance technique

Abstract

In healthcare industries demand of drug, medicine, tablets, capsules and even blood are the major factors in driver of pharmaceutical inventory. The demand size of pharmaceutical items may be static (fixed) or can dynamic (vary) with respect to time. We are dealing with three cases demand of the pharmaceutical inventory: (i) exponential demand (ii) demand which is dependent on stock and (iii) linear demand. The holding cost, purchase cost, ordering cost and fuzzy demand. The fuzzy approach in inventory modeling is more realistic compare with crisp sense. Fuzzy set theory helps to optimize inventory model and gives us better results. The purpose of this work is to get optimal total cost for healthcare industries in three type of variable demand with fuzzy parameters. In the end, the illustrate numericals are presented for all three demand and the solution mechanism, and a comparative study in both cases crisp and fuzzy parameters is obtained and get best solution for this model.