Opher Baron, Oded Berman, David Perry

Research output: Contribution to journalReview articlepeer-review


We consider a continuous review (s, S) model of perishable items with lost sales. Once items are perished the entire inventory drops instantaneously to zero. The total cost includes the cost of: ordering, unsatisfied demand, units destroyed, holding, and fixed cost of perishability. Both the time to perishability and the lead times are assumed to be exponentially distributed while two cases of demand distribution are considered: Poisson and compound Poisson with general demand sizes. We study the average cost criterion and provide computational results on the problem of finding the optimal re-order level, s, and order up-to level, S. None of the known work on the subject is as general as the model presented here. Our analysis leads to several insights on the optimal (s, S) policies for perishable items in the presence of lead times. For example, we demonstrate that the effectiveness of a heuristic that ignores perishability (and is also analyzed here) decreases with the demand variability and that the cost may either increase or decrease with this variability.

Original languageEnglish
Pages (from-to)317-342
Number of pages26
JournalProbability in the Engineering and Informational Sciences
Issue number3
StatePublished - 1 Jul 2020

Bibliographical note

Funding Information:
The research of David Perry is partially supported by the German Israeli Foundation (GIF), Grant number 1-1184-31.4/2012 and the Israeli Science Foundation (ISF), grant number 1071/14. The research of Opher Baron and Oded Berman was supported by their NSERC grants.

Publisher Copyright:
Copyright © Cambridge University Press 2017.


  • aging items
  • inventory
  • operations and supply chain
  • production: perishable
  • uncertainty: stochastic

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


Dive into the research topics of 'CONTINUOUS REVIEW INVENTORY MODELS for PERISHABLE ITEMS with LEADTIMES'. Together they form a unique fingerprint.

Cite this