On A Responsive Replenishment System: A Fuzzy Logic Approach

In today´s competitive business environment, it is important that customers are able to obtain the preferred items in the shops they visit, particularly for the convenience store chains such as 7-Eleven where popular items are expected to be readily available on the shelves of the stores for buyers. To minimize the cost of running such store chains, it is essential that the stocks must be kept to a minimum and at the same time large varieties of popular items are also available for customers. This paper attempts to propose a responsive replenishment system which is able to respond to the fluctuating demands of customers and provide a timely supply of needed items in a cost-effective way. The proposed system embraces the principle of fuzzy logic which is able to deal with uncertainties by virtue of its fuzzy rules reasoning mechanism, thereby leveraging the responsiveness of the entire replenishment system for the chain stores.