摘要
在需求不确定环境下构建了由一个制造商和多个零售商组成的供应链系统,考虑不同产品的可替代性,建立了多个零售商竞争的随机优化模型。利用鲁棒优化方法研究了需求不确定环境下多个零售商竞争的绝对鲁棒优化问题、偏差鲁棒优化问题和相对鲁棒优化问题。最后通过数值算例比较分析了不同产品替代率下的绝对鲁棒优化解、偏差鲁棒优化解及相对鲁棒优化解。
In this paper, the supply chain system with one manufacturer and multi-retailers is constructed under demand uncertainty. The stochastic optimization models with retailer competition are established under the consideration of products substitutability. Using robust optimization method, the absolute robust problems, robust deviation problems and relative robust problems are studied under demand uncertainty, respectively. Finally, these three optimal solutions are compared with different product substitutability through numerical examples.
出处
《中国管理科学》
CSSCI
2008年第4期50-54,共5页
Chinese Journal of Management Science
基金
中国博士后科学基金资助项目(20070420453)
国家自然科学基金资助项目(70572088)
关键词
供应链
鲁棒优化
报童模型
不确定性
主从对策
supply chain
robust optimization
newsvendor model~ uncertainty~ Stackelberg game
