Simulation-based optimization for the integrated scheduling of production and logistic systems

Abstract

The scheduling of production and logistic systems is challenging due to their structural complexity and the dynamic requirements which influence their operation. In this paper we propose and test a simulation-based procedure for defining optimal integrated schedules for production and logistic processes along a global supply chain involving a production job shop and intermodal transport. The procedure is based on a hybrid simulation-optimization approach, which combines linear programing, discrete event simulation and a numerical experiment. The combination provides the capability of dealing with complex optimization problems, while properly considering stochastic behaviors. The results obtained in a test case scenario evidenced the capability of the proposed approach.