A raw material purchasing decision-making model of order allocation with multiple suppliers and its optimization

作者：Chen, Xiao Fang^*; Cen, Li Hui; Cen, Yi Gang

来源：1st International Conference on Information Science and Engineering, ICISE2009, China,Fujian,Zhangzhou,Nanjing, 2009-12-26 to 2009-12-28.

DOI：10.1109/ICISE.2009.143

• Adaptive penalty functions
• Chaotic migration
• Decision making models
• Logistic management
• Minimum order quantities
• Optimal order quantity
• Optimization modeling
• Purchasing decision makings

Purchasing decision-making is an important part of logistic management for process plants. The paper considers a purchasing activity process of multiple suppliers and multiple species based on activity cost analysis. A purchasing optimization model with composition constraints is set up with minimum order quantity. The paper proposes an improved genetic algorithm to decide the optimal order quantities of each supplier based on methods of Gauss Mapping, improved adaptive penalty function and chaotic migration. A computation example is given to show the feasibility and effectiveness of the decision-making model and optimization strategy for raw material purchasing problem.

• 出版日期2009
• 单位上海交通大学; 厦门大学