• DocumentCode
    1778837
  • Title

    The expectation-based loss-averse newsvendor under supply uncertainty

  • Author

    Lijun Ma ; Guanglun Qin ; Weili Xue

  • Author_Institution
    Dept. of Manage. Sci. & Eng., Shenzhen Univ., Shenzhen, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We extend the expectation-based loss-averse newsvendor model according [1] by assuming that decision maker confronts deterministic demand and uncertain supply at the beginning of a selling season. We show with numerical study that the higher the penalty coefficient, the lower the optimal order quantity. Higher retail price and salvage value lead to optimally order more. However, when the wholesale price increases, the optimal order quantity decreases.
  • Keywords
    pricing; supply and demand; decision maker; deterministic demand; expectation-based loss-averse newsvendor model; higher retail price; optimal order quantity; penalty coefficient; salvage value; supply uncertainty; wholesale price; Analytical models; Economics; Educational institutions; Inventory management; Numerical models; Probability density function; Uncertainty; expectation-based; lose-averse; uncertain supply;
  • 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.2014.6874116
  • Filename
    6874116