• DocumentCode
    1844239
  • Title

    Multiple product newsvendor problem based on different risk measurements

  • Author

    Zhou, Yan-Ju ; Chen, Qian

  • Author_Institution
    Bus. Sch., Central South Univ., Changsha, China
  • Volume
    1
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    794
  • Lastpage
    798
  • Abstract
    Different risk constraint represents the different decision-making process of decision-makers. This paper use the traditional Mean-Variance, Value at Risk and Conditional Value at Risk which are from financial engineering to establish the optimum order risk decision model under the assumption of normal distribution. In order to illustrate the characteristics of different risk measurement constraint, the solutions among those three models is compared by numerical examples and their decision-making behaviors are summarized accordingly. In addition, Monte Carlo technique is used to get the sample simulation. According to the result of the three models, this paper compares these risk measurement and analyzes the relative advantages of Conditional Value at Risk to Mean-Variance and Value at Risk.
  • Keywords
    Monte Carlo methods; decision making; financial management; normal distribution; risk management; stock control; Monte Carlo technique; conditional value at risk; decision making process; financial engineering; mean variance; multiple product newsvendor problem; normal distribution; optimum order risk decision model; risk measurement; Analytical models; Approximation methods; Decision making; Numerical models; Portfolios; Reactive power; Stochastic processes; Conditional Value at Risk; Mean-Variance; Value at Risk; multiple product newsvendors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5917056
  • Filename
    5917056