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Process and system variation impacts on 777 wings manufacturing

Author(s)
Mangan, Esther Hu
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Other Contributors
Leaders for Global Operations Program.
Advisor
Thomas Roemer and Daniel Whitney.
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
The Boeing 777 has seen an increased the rate of production from one plane every 7 days to one plane every 2.5 days. Wing production has relied on a sizeable work force and the use of overtime to meet this demand. The primary objective is to improve build efficiency by reducing variability in the production system. The impact of eleven variables was determined using a stepwise regression to predict for total labor hours across 250 airplanes. Three variables - travelers, defects, and quality assurance response time - accounted for almost 50% of the variability in labor hours. Other variations included engineering changes and rate breaks. Moving forward, the Wing Majors shop will redirect resources to control travelers, improve quality, and minimize quality assurance delays.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
 
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
 
Cataloged from PDF version of thesis.
 
Includes bibliographical references (pages 63-64).
 
Date issued
2015
URI
http://hdl.handle.net/1721.1/100107
Department
Leaders for Global Operations Program at MIT; Massachusetts Institute of Technology. Department of Mechanical Engineering; Sloan School of Management
Publisher
Massachusetts Institute of Technology
Keywords
Mechanical Engineering., Sloan School of Management., Leaders for Global Operations Program.

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