ABSTRACT
The classical (crisp) inventory control model with reliability influence demand and partially backlogged items is to be considered. The primary motive of e?cient inventory management is to provide a suitable customer service, thereby keeping a low cost of the inventory system. The cost factor is to consider a fuzzy random variable. Here, the ordering cost and reliability of the production process are the decision variables. Thus, the aim of this chapter is to minimize the cost of the inventory system. This model has been developed for both crisp and fuzzy systems. Due to fuzzy parameters, the model becomes a fuzzy quantity, and it is defuzzified by sign distance method. The facts used in this research work have been exemplified by the use of an appropriate numerical example.
