Research on robust stochastic optimization of multi-retailer competition under demand uncertainty

被引：0
|
作者：
Yan, Ni-Na [1 ,2 ]
Ma, Long-Long [1 ]
Liu, Bing [3 ]
机构：
[1] Renmin Univ China, Sch Business, Beijing 100041, Peoples R China
[2] Shougang Iron & Steel Co, Dev & Res Inst, Beijing 100082, Peoples R China
[3] Emerson Proc Management Co Ltd, Beijing Branch Off, Beijing 100020, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2008年
基金：
中国博士后科学基金;
关键词：
supply chain; robust optimization; newsvendor model; uncertainty; stackelberg game;
D O I：
10.1109/ICMLC.2008.4620679
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the supply chain system with one manufacturer and multi-retailers is constructed under demand uncertainties. 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.
引用
收藏
页码：1699 / +
页数：3
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