Interactive fuzzy stochastic multiobjective purchase and transportation planning for food retailing

Abstract

This paper considers purchase and transportation planning for food retailing in Japan where 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. From a stochastic perspective, by carefully reviewing parameters in our original problem formulation, through the introduction of stochastic parameters, multiobjective linear stochastic programming problems are introduced. By using the typical stochastic models including the expectation model, the fractile model, the probability model together with chance constrained programming, the formulated multiobjective linear stochastic programming problems are transformed into deterministic ones. Assuming the decision maker has the fuzzy goal for each of the objective functions, several interactive fuzzy satisficing methods are presented for deriving a satisficing solution for the decision maker by updating the reference membership levels.