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Massachusetts Institute of Technology

Delivery Estimate Accuracy: Understanding and Reducing Virtual-Physical Mismatches and Missorts in Fulfillment Centers

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Sloan School of Management
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yao, Rong (Jenny)
Advisors dc:contributor.advisor
  • Zheng, Y. Karen
  • Williams, John

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/155603
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/155603

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Yao, Rong (Jenny). Delivery Estimate Accuracy: Understanding and Reducing Virtual-Physical Mismatches and Missorts in Fulfillment Centers. Massachusetts Institute of Technology, 2024. https://hdl.handle.net/1721.1/155603