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
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;
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
DOI :
10.1109/ICMLC.2008.4620679
