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.
The team developed a forecasting method for a pilot location, then initiated a controlled launch and performed validation and testing on the preliminary forecast model. The model was expanded and optimized for Amazon’s entire crossdock network. The team also developed a dynamic dashboard to both visualize and automate the forecasting tool. The server-based dashboard graphically presents actuals and predictions for volume, flow, and backlog over time and provides historical prediction accuracy. The project demonstrated potential savings in both labor hours and costs, ultimately improving operations of the crossdock network.
Read the 2017 Amazon Crossdock Team Project Executive Summary in the 2017 SPOTLIGHT! book.
"Tauber is an absolutely incredible experience and everything about it is worth all of the time that goes into it. The entire process exposed me to new industries, took me to awesome cities, and brought me closer to my EGL classmates!" - Nate Estes
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)
Sam Eldersveld–Director, Supply Chain Data Science, Supply Chain Execution Paul Stroup–Sr. Manager, Inbound Data Science, Supply Chain Execution
Yavuz Bozer –College of Engineering M.S.
Krishnan–Ross School of Business
About Tauber Team Projects:
The 2017 Tauber Team Projects resulted in $575 million in savings according to sponsoring company calculations, an average of $18.5 million per project over 3 years.