抄録
This paper describes a draft of logistics planning based on a simulation of traffic flow by Cellular Automata. Cellular Automata is an effective method of emergent computations called Constructive Approach. Traffic flow is a typical example of Complex Systems in which the whole phenomenon from the local interactions of components of the system emerges, therefore logistics planning should be essentially designed considering implications of traffic flow. In this study, traffic flow is modeled by Cellular Automata. Logistics planning is framed by optimizing vehicle allocation plan, vehicle routing plan and so forth with the help of Genetic Algorithm so that the cost calculated from conditions on utilization of trucks considering traffic flow by Cellular Automata might be minimized. The applicability and effectiveness of the proposed approach for logistics planning is investigated with simulation experiments.
