DocumentCode
476095
Title
Research on robust stochastic optimization of multi-retailer competition under demand uncertainty
Author
Yan, Ni-na ; Ma, Long-long ; Liu, Bing
Author_Institution
Bus. Sch., Renmin Univ. of China, Beijing
Volume
3
fYear
2008
fDate
12-15 July 2008
Firstpage
1699
Lastpage
1704
Abstract
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.
Keywords
optimisation; retailing; stochastic processes; supply chain management; demand uncertainty; multiretailer competition; product substitutability; retailer competition; robust optimization method; robust stochastic optimization; stochastic optimization models; supply chain system; Cybernetics; Machine learning; Marketing and sales; Optimization methods; Robust control; Robustness; Stochastic processes; Supply chain management; Supply chains; Uncertainty; Newsvendor model; Robust optimization; Stackelberg game; Supply chain; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620679
Filename
4620679
Link To Document