Inventories with Multiple Supply and Demand Sources and Networks of Queues with Overflow Bypasses
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Date: 04-08-2008
Start Time:
1:00pm
End Time: 2:00pm
Speaker: Jeannette Song, Fuqua School of Business: Duke University
Location: Mudd 303
ABSTRACT
Consider an inventory system with multiple supply sources. The replenishment leadtimes from each source are stochastic, representing congestion and disruption. We develop performance evaluation tools for a family of reasonable order policies. These policies take into account real-time supply information, which can be obtained through tracking technologies such as GPS and RFID. Performance evaluation of such state-dependent policies is generally hard. The main thrust of the paper is to show that, under these policies, the supply system becomes a network of queues with a special routing mechanism called an overflow bypass. The solution has a simple product form. Thus, we obtain closed-form performance measures. These results reinterpret and extend Moinzadeh and Schmidt's analysis of a system with two sources having deterministic leadtimes. We further extend the analysis to batch ordering policies and multiple demand classes.
Joint work with Paul Zipkin
BIO
Jing-Sheng (Jeannette) Song
Professor and Area Coordinator, Operations Management
The Fuqua School of Business
Duke University
Professor Song received a B.S. degree in Mathematics from Beijing
Normal University, a M.S. degree in Operations Research from the
Chinese Academy of Sciences, and a Ph.D. in Management Science &
Operations Management from Columbia University. Before joining Duke
University, she served on the faculties of University California,
Irvine and Columbia University, and held a visiting position at the
University of California, Berkeley. She also worked as a research
fellow in the Institute of Applied Mathematics of the Chinese Academy
of Sciences.
Professor Song’s main research interests lie in the area of supply
chain management and production-inventory systems. Topics include
supply chain logistics and coordination, outsourcing structures,
multi-sourcing, impact of e-commerce, Vendor Managed Inventory
programs, forecasting and inventory planning, Assemble-to-Order
systems, delivery time quotation, and reverse logistics.
Professor Song’s research has been supported by the National Science
Foundation and the Chinese Natural Science Foundation. She has
published in leading academic journals such as Management Science,
Operations Research, and Manufacturing & Service Operations
Management, European Journal of Operations Research, IIE Transactions,
and Naval Research Logistics. Professor Song is an Area Editors for
Operations Research. In the past, she has also served as a Department
Editor for IIE Transactions as well as associate editors for Management
Science, Manufacturing & Service Operations Management, and Naval
Research Logistics.
Professor Song teaches Operations Management, Supply Chain Management,
and International Operations Management in the MBA and Executive MBA
programs. She also teaches Supply Chain Models and Stochastic
Comparison Techniques at the Ph.D. Level. In addition, Professor Song
advised various companies on their operational and supply chain
management issues.