Hostname: page-component-89b8bd64d-shngb Total loading time: 0 Render date: 2026-05-07T10:55:17.736Z Has data issue: false hasContentIssue false

Stochastic Inventory Models with Limited Production Capacity and Periodically Varying Parameters

Published online by Cambridge University Press:  27 July 2009

Yossi Aviv
Affiliation:
Graduate School of Business, Columbia University New York, New York 1007
Awi Federgruen
Affiliation:
Graduate School of Business, Columbia University New York, New York 1007

Abstract

We consider a single-item, periodic-review inventory model with uncertain demands in which each period's production volume is limited by a capacity level. The demand distributions, capacity levels, and cost parameters vary according to a periodic pattern. We prove that modified base-stock policies are optimal for the finite-horizon planning model and for both the infinite-horizon discounted and undiscounted cost criterion. We further show that the optimal base-stock levels can be calculated via a simple but efficient value-iteration method. Finally, we have conducted a comprehensive numerical study to ascertain the efficiency of this solution method as well as various qualitative properties of the performance of capacitated production/inventory systems under periodically varying demand and cost patterns.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 1997

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable