Fuzzy and multiobjective purchase and transportation planning for food retailing: case study in Japan

摘要

This paper considers purchase and transportation planning for food retailing in Japan, and formulates a linear programming problem where the profit of a food retailer is maximised. The food retailer deals with vegetables and fruits which are purchased at the central wholesale markets in several cities, and transports them by truck from each of the central wholesaler markets to the food retailer's storehouse. Having examined the optimal solution to the formulated linear programming problem, in view of the recent global warming issue, a single objective problem is reformulated as a multiobjective one. Furthermore, introducing the fuzzy goals of the decision maker, through an interactive fuzzy satisficing method, a satisficing solution for the decision maker is derived efficiently by updating the reference membership levels.