Agent-based simulation for order selection strategy in collaboration process of supply chain

Efficient order selection strategy design is crucial for the successful execution of order tasks in supply chain, especially when supply chain members faced with multiple types of order at the same time, which will directly affect the customer satisfaction level. Aiming at order selection strategy design and evaluation, an integrated simulation model was presented firstly in this paper, which emphasized on the initiative, autonomous, and cooperative characters of the members in supply chain. Then, a dynamic order selection strategy and its algorithm were discussed. Finally, based on the simulation platform developed, a comparative simulation was carried out to evaluate the order selection strategy proposed. Simulation result shows the dynamic order selection strategy designed can improve the collaboration efficiency of the supply chain.