Crossdock Inbound Visibility and Labor Optimization

Optimized labor allocation and hiring decisions are essential to ensuring Amazon meets customer promise. The Amazon Crossdock Tauber team was challenged with providing better visibility of incoming volume, flow, and backlog for upcoming weeks.

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Student Team:
Nate Estes –EGL (BSE & MSE Industrial and Operations Engineering)
Anirudh Saria–Master of Supply Chain Management
Hannah Schapiro–EGL (BSE & MSE Industrial and Operations Engineering)

 

Project Sponsors:
Sam Eldersveld–Director, Supply Chain Data Science, Supply Chain Execution
Paul Stroup–Sr. Manager, Inbound Data Science, Supply Chain Execution

 

Faculty Advisors:
Yavuz Bozer –College of Engineering M.S.
Krishnan–Ross School of Business

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