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Infinite-Horizon Models for Inventory Control under Yield Uncertainty and Disruptions

Amanda J. Schmitt
MIT Center for Transportation & Logistics

Lawrence V. Snyder
Lehigh University


January 12, 2009


Abstract:     
We demonstrate the importance of using a sufficiently long time horizon analysis when modeling inventory systems subject to supply disruptions. Several publications use singleperiod newsboy models to study supply disruptions, and we show that such models underestimate the risk of supply disruptions and generate sub-optimal solutions. We examine a firm with an unreliable supplier that is subject to supply yield uncertainty as well as complete supply disruptions. We consider one case where the unreliable supplier is the only supply option, and a second case where a second, reliable (but more expensive) supplier is available. We develop models for both cases to determine the optimal order and reserve quantities. We then compare these results to those found when a single-period approximation is used. We demonstrate that a single-period approximation causes increases in cost, under-utilizes the unreliable supplier, and distorts the order quantities which should be placed with the reliable supplier in the two-supplier case. Moreover, using a single-period model can lead to selecting the wrong strategy for mitigating supply risk.

Keywords: supply chain disruptions, yield uncertainty, dual-sourcing, inventory management

Working Paper Series

Date posted: April 03, 2008 ; Last revised: January 13, 2009

Suggested Citation

Schmitt, Amanda J. and Snyder, Lawrence V., Infinite-Horizon Models for Inventory Control under Yield Uncertainty and Disruptions (January 12, 2009). Available at SSRN: http://ssrn.com/abstract=1115443


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Contact Information

Amanda J. Schmitt (Contact Author)
MIT Center for Transportation & Logistics ( email )
77 Massachusetts Ave., E40
Cambridge, MA 02139
United States
Lawrence V. Snyder
Lehigh University ( email )
621 Taylor Street
Bethlehem, PA 18015
United States
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