(S - 1, S) Policies for Perishable Inventory
Charles P. Schmidt and
Steven Nahmias
Additional contact information
Charles P. Schmidt: College of Commerce and Business Administration, University of Alabama, University, Alabama 35486
Steven Nahmias: Department of Decision and Information Science, University of Santa Clara, Santa Clara, California 95053
Management Science, 1985, vol. 31, issue 6, 719-728
Abstract:
We consider (S - 1, S) policies for a single item whose lifetime is fixed and known with certainty. Demands are generated by a stationary Poisson process and there is a positive leadtime for replenishment. We believe this study gives the only analysis for perishables with a positive order leadtime. The analysis involves the derivation of the stationary distribution of the S-dimensional stochastic process corresponding to the time elapsed since the last S orders were placed. This distribution is then used to obtain an expression for the expected cost rate of operating the system in steady state as a function of S. A computer program has been developed to compute optimal S values and expected annual costs. We report a computation for a variety of system parameters which show some of the unusual features of the problem. Finally, we show how this model can be used in the context of a problem of optimizing availability of operating equipment subject to scheduled maintenance as well as random failure.
Keywords: inventory/production: perishable items; stochastic processes; scheduled maintenance (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations: View citations in EconPapers (32)
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.31.6.719 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:31:y:1985:i:6:p:719-728
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().