A FUZZY PRODUCTION INVENTORY MODEL WITH RANDOM DETERIORATION RATE AND DEMAND RATE USING REGULAR WEIGHTED POINT TECHNIQUE

This paper deals, a fuzzy production inventory model with two warehouse have been considered. In this model the deterioration rate and demand rate considered as random and the production rate depends directly on demand rate. The lotus petal fuzzy number is defined and its properties are given. The parameters involved in this model are represented by lotus petal fuzzy number. The average total cost is defuzzified by the regular weighted point technique. The analytical expressions for expected inventory level in temporary warehouse and permanent warehouse at time t2, expected deterioration level, maximum inventory level and average total cost are derived for the proposed model by using nonlinear programming technique. A numerical example is presented to illustrate the results