Inventory Planning Model with Decision Flexibility for Raw Material Supply and its Genetic Programming Algorithm

摘要：

The inventory control of raw material for process industry faces the risks of demand uncertainty and supply uncertainty. Combined economic cost with uncertainty risk produced in inventory process as the objective and constrained by process raw material demand, an optimal inventory plan is decided with non-predetermined order time and frequency. In the genetic programming algorithm, chain-structured individuals are adaptively designed to describe flexible order sequences. This approach is tested by a computational case and proved superior to order method with predetermined order time at cost and expected risks.

关键词： inventory optimal control decision flexibility supply uncertainty genetic programming chainstructured individual

作者: Xiao-Fang Chen Yi-Gang Cen Li-Hui Cen

作者单位: School of Information Science and Engineering, Central South University, Changsha Institute of Information Science, Beijing Jiao Tong University, Beijing

会议类型: 国际会议

会议名称: 2010 Cross-Strait Conference on Information Science and Technology(2010 海峡两岸信息科学与技术学术交流会)

会议地点: 秦皇岛

会议语种:英文

页码: 9-12

在线出版日期: 2010-07-09（万方平台首次上网日期，不代表论文的发表时间）