• 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