Back to search

Massachusetts Institute of Technology

Identifying Bottlenecks through Process Consistency in High-Capacity Automated Manufacturing

Abstract

dc:description.abstract

This thesis explores the identification of bottlenecks in automated assembly lines through process consistency. In general, large automated assembly lines have processes grouped together that have a huge affect on one another. They can only operate as fast as the slowest process (the bottleneck) in their group. These groups are established by placing buffers in between several processes to decouple the slowest processes in groups from one another and to attempt to level production in the manufacturing plant. By comparing processes in the same group to one another, even though every one of them will operate at approximately the same speed, the process that operates the most consistently at this speed is often the bottleneck process. Consistency to identify bottlenecks was applied at Nissan’s Canton manufacturing plant in Canton, MS during the development of this thesis. Using the techniques described in this thesis, the bottleneck identification process was transformed from a multi-day process into a five minute procedure.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lux, Kyle J.
Advisors dc:contributor.advisor
  • Willems, Sean
  • Hardt, David

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/1721.1/151259
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151259

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

Lux, Kyle J.. Identifying Bottlenecks through Process Consistency in High-Capacity Automated Manufacturing. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151259