Managing Perishables with Time and temperature History

M. Ketzenberg, J.M. Bloemhof, G. Gaukler

Research output: Contribution to journalArticleAcademicpeer-review

44 Citations (Scopus)


We address the use and value of time and temperature information to manage perishables in the contextof a retailer that sells a random lifetime product subject to stochastic demand and lost sales. The product’s lifetime is largely determined by the temperature history and the flow time through the supply chain. We compare the case in which information on flow time and temperature history is available and used for inventory management to a base case in which such information is not available. We formulate the two cases as Markov Decision Processes and evaluate the value of information through an extensive simulation using representative, real world supply chain parameters.
Original languageEnglish
Pages (from-to)54-70
JournalProduction and Operations Management
Issue number1
Publication statusPublished - 2015


  • shelf-life prediction
  • supply chain
  • deteriorating inventory
  • ordering policies
  • information
  • products
  • replenishment
  • management
  • storage
  • demand

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