Delivery Estimate Accuracy: Understanding and Reducing Virtual-Physical Mismatches and Missorts in Fulfillment Centers
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yao-yaoj-mba-mgt-2024-thesis.pdf.pdf
Description
Thesis PDF
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3.19 MB
Format
Adobe PDF
Checksum (MD5)
3901d53c2d5fe3d7382abf8fb932410d
Author(s)
Yao, Rong (Jenny)
Advisor(s)
Zheng, Y. Karen
Williams, John
Date Issued
May 2024
Publisher
Massachusetts Institute of Technology
Abstract
Delivery Estimate Accuracy (DEA) is the Amazon Operations metric that measures the percentage of items that attempted delivery on or before the Promised Delivery Date (PDD). There are significant costs and customer experience impacts when packages are not delivered on time, resulting in a DEA miss. Specifically, there are two types of DEA misses that are less well-understood than others and make up a large proportion of the overall missesVirtual-Physical Mismatch (VPM) and Missort. This project focuses on understanding and reducing the number of VPM and Missort misses in Fulfillment Centers, with the scope being Amazon’s Traditional Non-Sort Fulfillment Centers in the US.
MIT Department
Sloan School of Management
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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