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Inventory Systems with Stochastic Demand and Supply: Properties and Approximations

Amanda J. Schmitt
MIT Center for Transportation & Logistics

Lawrence V. Snyder
Lehigh University

Zuo-Jun Max Shen
University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)


September 16, 2009


Abstract:     
We model a retailer whose supplier is subject to complete supply disruptions. We combine discrete-event uncertainty (disruptions) and continuous sources of uncertainty (stochastic demand or supply yield), which have different impacts on optimal inventory settings. This prevents optimal solutions from being found in closed form. We develop a closed-form approximate solution by focusing on a single stochastic period of demand or yield. We show how the familiar newsboy fractile is a critical trade-off in these systems, since the optimal base-stock policies balance inventory holding costs with the risk of shortage costs generated by a disruption.

Keywords: Supply disruptions, Inventory management

Working Paper Series

Date posted: April 03, 2008 ; Last revised: September 21, 2009

Suggested Citation

Schmitt, Amanda J., Snyder, Lawrence V. and Shen, Zuo-Jun Max, Inventory Systems with Stochastic Demand and Supply: Properties and Approximations (September 16, 2009). Available at SSRN: http://ssrn.com/abstract=1115410


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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
Zuo-Jun Max Shen
University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR) ( email )
IEOR Department
4135 Etcheverry Hall
Berkeley, CA 94720
United States
Lawrence V. Snyder
Lehigh University ( email )
621 Taylor Street
Bethlehem, PA 18015
United States
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