• DocumentCode
    138931
  • Title

    Joint optimization of pricing and ordering for two substitute products with a budget constraint

  • Author

    Linlin Zhang ; Zhong Yao ; Guoqing Zhang

  • Author_Institution
    Sch. of Econ. & Manage., BeiHang Univ., Beijing, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper focuses on the revenue management by jointly optimizing pricing and ordering for two substitute products when the retailer has a budget constraint, which is different from most previous literatures where each feature has been addressed separately. We use the Lagrangian method of solving nonlinear programming with inequality constraint to get the optimal close-form solutions and provide numerical examples. Results show that higher substitutability leads to higher price and total revenue, and the change tendency of order quantity depends on the price. Extension to stochastic demand scenario is also discussed.
  • Keywords
    budgeting; nonlinear programming; pricing; Lagrangian method; budget constraint; inequality constraint; nonlinear programming; optimal close-form solutions; order quantity; pricing-ordering joint optimization; revenue management; stochastic demand scenario; substitutability; substitute products; Dynamic programming; Educational institutions; Joints; Optimization; Pricing; Programming; Stochastic processes; Budget constraint; Lagrangian relaxation; Nonlinear programming; Revenue management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-3133-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2014.6943417
  • Filename
    6943417