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ISyE Seminar Series


Stock or Print?
Impact of 3D Printing on Spare Parts Logistics


Wednesday, September 26th
3:15pm - Refreshments, 3:30pm - Graduate Seminar
Lind Hall Room 305

 



Professor Jeanette Song

Fuqua School of Business

Duke University

 

 


We present a general framework to study the design of spare parts logistics in the presence of 3D printing technology. We consider multiple parts facing stochastic demands. To minimize long-run average system cost, our model determines which parts to stock and which to print. We derive various structural properties of the problem to gain insights. In some cases, we obtain closed-form optimal solutions; in other cases, we devise efficient algorithms to obtain near optimal solutions. We demonstrate that the optimal printer utilization is in general low, suggesting complementarity between stock and print in cost minimization. (Joint work with Yue Zhang)

BIO:
Jing-Sheng (Jeannette) Song, obtained her Ph.D. from Columbia University, is currently the R. David Thomas Professor and a professor of Operations Management at the Fuqua School of business, Duke University. She studies supply chain management and operations strategy, topics including supply chain inventory planning and disruption management, assemble-to-order systems, global sourcing strategies, and socially responsible operations. Professor Song is an INFORMS Fellow and a Fellow and former President of the Manufacturing and Service Operations Management (MSOM) Society. She serves and has served on the editorial board of several leading academic journals, including Area Editor for Operations Research and Department Editor for IIE Transactions.

 

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