Risk Management of Two-period Inventory Models for Perishable or Deteriorating Products Based on Conditional Value-at-Risk

DOI 27 References
  • HASUIKE Takashi
    Graduate School of Information Science and Technology, Osaka University

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Description

This paper considers inventory problems for perishable or deteriorating products to maximize the total profit considering high- and low-priority customers based on the conditional Value-at-Risk (cVaR). The cVaR is a useful risk measure in economics and finance, which satisfies all requirements of ideal risk measures such as coherence and stochastic dominance. In order to apply random sampling derived from known distributions or historical data to our proposed model and to develop an analytical and efficient solution algorithm, the scenario-based solution algorithm is developed by performing equivalent transformations into a linear programming problem. Furthermore, numerical examples are provided to compare our proposed model with the previous standard model based on the expected value for the total profit. Furthermore, the results also show differences from the previous cVaR-based model with only one demand under some random distributions.

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Details 詳細情報について

  • CRID
    1390001205504530432
  • NII Article ID
    10031197124
  • NII Book ID
    AN10561806
  • DOI
    10.11221/jima.64.231
  • ISSN
    21879079
    13422618
  • Text Lang
    en
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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