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787 mid-body job precedence networks for improving production rate

Author(s)
Chen, Jason L., 1979-
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Alternative title
Seven eighty seven mid-body job precedence networks for improving production rate
Other Contributors
Leaders for Global Operations Program.
Advisor
Daniel E. Whitney and Steven J. Spear.
Terms of use
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
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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.
Description
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).
 
Date issued
2012
URI
http://hdl.handle.net/1721.1/73380
Department
Leaders for Global Operations Program at MIT; Massachusetts Institute of Technology. Engineering Systems Division; Sloan School of Management
Publisher
Massachusetts Institute of Technology
Keywords
Sloan School of Management., Engineering Systems Division., Leaders for Global Operations Program.

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