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Massachusetts Institute of Technology

Improving asset utilization and manufacturing production capacity using analytics

Abstract

dc:description.abstract

Industrial organizations have increasingly invested in IoT technologies to monitor, control, identify faults in, and optimize operations. With increasing competition, a push to lower manufacturing costs, and pressure to create 'wow' moments for passengers, and in alignment with enterprise vertical integration strategies, airplane interiors manufacturers like Boeing's Interiors Responsibility Center (IRC) are looking to leverage IoT technology to transform not only what they manufacture but also how. This study seeks to understand the potential for analytics in increasing production manufacturing capacity in Boeing's IRC. Our analysis is driven from personnel interviews, observational time studies, review of historical machine data, and value stream mapping.

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
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ghersin, Noa.
Advisor dc:contributor.advisor
  • Jung-Hoon Chun and Nikolaos Trichakis.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/126898
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/126898

Chain of custody

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

Ghersin, Noa.. Improving asset utilization and manufacturing production capacity using analytics. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126898