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| Date | Time | Room | Speaker | Affiliation | Paper | |
|---|---|---|---|---|---|---|
| September 20 | 9:30 AM | 3325 Graigner Hall | Chris Ryan | Booth School, University of Chicago | ||
| October 29 | 9:30 AM | 3560 Grainger Hall | Kostas Nikolopoulos | Bangor University | Looking for the Needle in the Haystack: | |
| OIM Research Workshop | ||||||
| December 6 | 1:00 PM | 4580 Grainger Hall | Jan Van Mieghem | Kellogg School, Northwestern University | Dual Sourcing and Smoothing Under Non-Stationary Demand Time Series: Re-shoring with SpeedFactories | |
| December 6 | 2:30 PM | 4580 Grainger Hall | Ryan Buell | Harvard Business School, Harvard University | Surfacing the Submerged State: Operational Transparency Increases Trust in and Engagement with Government | |
| December 7 | 9:00 AM | 4580 Grainger Hall | Atalay Atasu | Scheller College of Business, Georgia Tech | ||
| March 15February 8 | 9:30 AM | Beril Toktay | Tinglong Dai | Carey Business School, Johns Hopkins UniversityScheller College of Business, Georgia Tech | TBD | |
| April 5 | 9:30 AM | Kumar Rajaram | Anderson School, UCLA | TBD | ||
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We investigate the emerging trend of near-shoring a small part of the global production back to local SpeedFactories. The short lead time of the responsive SpeedFactory reduces the risk of making large volumes in advance, yet it does not involve a complete re-shoring of demand. Using a breakeven analysis we investigate the lead time, demand, and cost characteristics that make dual sourcing with a SpeedFactory desirable compared to off-shoring to a single supplier. We propose order rules that extend the celebrated inventory optimal order-up-to replenishment policy to settings where capacity costs exist and demonstrate their excellent performance. We highlight the significant impact of autocorrelated and non-stationary demand series, which are prevalent in practice yet challenging to analyze, on the economic benefit of re-shoring. Methodologically, we adopt Z−transforms and present an exact analysis of several discrete-time linear inventory models.
Prof. Beril ToktayTinglong Dai, Associate Professor, Scheller College of Carey Business School, Georgia TechJohns Hopkins University
Prof. Kumar Rajaram, Professor, Anderson School of Management, UCLA
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