SIMULATION OF SUPPLY CHAIN

Ma Xuefen

(Ocean College, Shanghai Fisheries University, Shanghai 200090)

Sun Shudong

(System Integration and Engineering Management Institute, Northwest Polytechnical University, Xi’an 710072)

Abstract: The optimization of supply chain is studied. A multi-objective model is constructed, which simultaneously optimizing collaborative enterprises, strategic and operational planning. Moreover, in the model, multi-objective analysis is adopted to allow use of a performance measurement system that includes cost, flexibility, customer service levels and delivery time of products. Furthermore, a improved multi- population pareto genetic algorithm is designed for the model. Finally, the model is illustrated by an example and the simulation result is obtained.

Key words: Supply chain  Multi-objective  Optimization  Genetic algorithm  Simulation

CLC No: TH166

国家863/CIMS主题基金资助项目(2002AA414060). Received 20040614, received in revised form 20041130