• DocumentCode
    3283431
  • Title

    Exploring Contracts with Options in Loyalty Reward Programs Supply Chain

  • Author

    Cao, Yuheng ; Nsakanda, Aaron Luntala ; Diaby, Moustapha ; Ji, Shaobo ; Hine, Michael J.

  • Author_Institution
    Sprott Sch. of Bus., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2012
  • fDate
    4-7 Jan. 2012
  • Firstpage
    1257
  • Lastpage
    1266
  • Abstract
    This paper explores analytically the issue of whether an option contract mechanism is a viable alternative to help hedge against demand uncertainties for rewards in a Loyalty Reward Programs (LRP) enterprise-led supply chain. We introduce an analysis framework based on the study of the problem of planning the supply of rewards (and points) given demand uncertainties and considering option contracts featuring two parameters namely the option price and the option exercise. A two-stage stochastic linear programming with simple recourse model is developed to formulate this problem and solved using a solution procedure based on the sampling average approximation scheme. We benchmark our analysis with a wholesale price contract, a commonly used mechanism in buyer-supplier supply chains. Our preliminary numerical experiments show that option contracts can be considered as an attractive means to mitigate higher level of redemption demand variability as they tend to yield a higher LRP enterprise profitability and lower increases in both the liability level and budget usages.
  • Keywords
    approximation theory; contracts; linear programming; pricing; profitability; share prices; stochastic programming; supply chain management; LRP enterprise profitability; budget usages; buyer-supplier supply chains; demand uncertainties; liability level; loyalty reward programs enterprise-led supply chain; option contract mechanism; option exercise; option price; recourse model; redemption demand variability; sampling average approximation scheme; two-stage stochastic linear programming; Contracts; Educational institutions; Planning; Pricing; Supply chains; Uncertainty; Option contracts; Supply chain management; loyalty reward programs; stochastic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science (HICSS), 2012 45th Hawaii International Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4577-1925-7
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2012.266
  • Filename
    6148675