2026-09-18T20:49:47Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/733802022-01-28T13:57:45Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Daniel E. Whitney and Steven J. Spear.
Chen, Jason L., 1979-
Leaders for Global Operations Program.
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Engineering Systems Division
Sloan School of Management
2012-09-27T15:27:16Z
2012-09-27T15:27:16Z
2012
2012
http://hdl.handle.net/1721.1/73380
809794362
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 68).
In a complex manufacturing environment, generating schedules, identifying deviations, and recovering from delays have a significant impact on total operational performance. At Boeing's 787 plant, a precedence network was generated which defines the entire build sequence for a mid-body fuselage. This job-level build sequence enables planners to generate optimized and feasible resource-constrained schedules. The network also forms the foundation for a visual control system on the factory floor. This web-based tool is designed to improve routine production control decisions at all levels by presenting build status in a cohesive and concise format. Using this tool, the plant's stakeholders can effectively identify and prioritize schedule deviations before they cascade lead to major delays, resulting in an overall improvement in resource efficiency and production rate.
by Jason L. Chen.
S.M.
M.B.A.
68 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
Engineering Systems Division.
Leaders for Global Operations Program.
787 mid-body job precedence networks for improving production rate
Seven eighty seven mid-body job precedence networks for improving production rate
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="3a74cee8-fd38-4eb9-80a4-9b5db17f75ec">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>787 mid-body job precedence networks for improving production rate</Title>
<Subtitle>Seven eighty seven mid-body job precedence networks for improving production rate</Subtitle>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2012</PublicationDate>
<Authors>
<Author>
<DisplayName>Chen, Jason L., 1979-</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Sloan School of Management.</Keyword>
<Keyword>Engineering Systems Division.</Keyword>
<Keyword>Leaders for Global Operations Program.</Keyword>
<Abstract>In a complex manufacturing environment, generating schedules, identifying deviations, and recovering from delays have a significant impact on total operational performance. At Boeing's 787 plant, a precedence network was generated which defines the entire build sequence for a mid-body fuselage. This job-level build sequence enables planners to generate optimized and feasible resource-constrained schedules. The network also forms the foundation for a visual control system on the factory floor. This web-based tool is designed to improve routine production control decisions at all levels by presenting build status in a cohesive and concise format. Using this tool, the plant's stakeholders can effectively identify and prioritize schedule deviations before they cascade lead to major delays, resulting in an overall improvement in resource efficiency and production rate.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>