会议专题

AN ADAPTIVE PLANNING MODEL BASED ON MULTI-AGENT

Quantitative factors are usually taken into account, but qualitative factors are neglected when a retailer in distribution chain decides to order. For this reason, a planning model based on Multi-agent is supposed to solve adaptive problems and then analyze the problems by using quantitative and qualitative factors to improve the retailers ordering efficiency. Using AHP approach, the multi-attribute analysis method is developed to evaluate the influence factors for ordering quantities. The weight for each retailer is calculated via Super Decisions software. In addition, According to the weights and qualitative data in ERP, a multi-objective decision-making method is given to determine the ordering quantities. The simulation results show that the proposed model based on Multi-agent increases ordering flexibility and offers a good planning method with cooperation between retailers and a DC.

Distribution chain Multi-agent AHP Multi-objective optimization Planning

QING-MIN ZHANG HENG-XIN XUE CHENG CHEN CHUN-MEI WU

School of Economy and Management, Nanjing University of Science and Technology, Nanjing 210094, Chin School of Economy and Management, Nanjing University of Science and Technology, Nanjing 210094, Chin

国际会议

2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

昆明

英文

1121-1126

2008-07-12(万方平台首次上网日期,不代表论文的发表时间)