An adaptive memory programming method for risk logistics operations

Abstract

This paper presents a decision support system (DSS) that enables logistics planners of a well-known hank to design intra-city safe delivery routes, using an intelligent metaheuristic method and exploiting risk methodologies and spatial data information. The DSS routes minimize the probability of successful vehicle robbery at a certain point of the road network and satisfy all operational constraints of the distribution problem examined. The proposed DSS was implemented to an actual banking environment and the results obtained by this real-life application are reported.