Computational Evaluation of Order Selection Methods in Dynamic Supply Chains

Previous researches proposed a dynamic supply chain model, which consists of three model components; those are clients, manufacturers, and suppliers. The model provided a numerical method to determine suitable prices and delivery times of products through the iteration of both the modification processes of production schedules and the negotiation processes among the model components. This paper proposes an effective order selection method for suppliers to find a suitable order in a number of orders sent from the lower-layer organizations. Computational experiments were carried to evaluate the effectiveness of the proposed method by using a developed supply chain simulation system.