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CONTINUOUS REVIEW INVENTORY MODELS FOR PERISHABLE ITEMS WITH LEADTIMES

Published online by Cambridge University Press:  05 June 2017

Opher Baron ,
Oded Berman  and
David Perry
Opher Baron
Affiliation:
Rotman School of Management, University of Toronto, 105 St. George Street, Toronto, ON M5S 3E6, Canada E-mail: [email protected]
Oded Berman
Affiliation:
Rotman School of Management, University of Toronto, 105 St.George Street, Toronto, ON M5S 3E6, Canada E-mail: [email protected]
David Perry
Affiliation:
Department of Statistics, University of Haifa, Haifa, Israel and Western Galilee College, Israel Email: [email protected]
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Abstract

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.

Keywords

aging itemsinventoryoperations and supply chainproduction: perishableuncertainty: stochastic
Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 34 , Special Issue 3: Analytic Methods in Health Care and in Clinical Trials In Honor and Memory of Lycourgos (Lee) Papayanopoulos , July 2020 , pp. 317 - 342
Copyright
Copyright © Cambridge University Press 2017

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