Quantitative selection of inspection plans for variation risk management
Name
43189226-MIT.pdf
Description
Full printable version
Size
4.47 MB
Format
Adobe PDF
Checksum (MD5)
22ede2cfa92844422a5589732899de4a
Author(s)
Chen, Tony J. (Tony Jeng-Horng), 1975-
Advisor(s)
Anna Thornton.
Date Issued
1999
Publisher
Massachusetts Institute of Technology
Abstract
Over the last decade, the importance of quality has increased significantly. Quality improvement efforts involve mitigating the impact of manufacturing variation through robust design, statistical process control (SPC), and inspection. This thesis focuses on the last: how to choose an inspection plan to remove the most variation at the lowest cost. The optimal inspection plan balances the cost of inspection and rework against the cost of increased quality. This thesis describes an empirical analysis and prototype software that employs Monte Carlo simulation and simulated annealing to identify the optimal inspection plan. This thesis demonstrates the functionality of the theory and the software through an example from the aircraft industry.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1999.
Includes bibliographical references (p. 73-75).
Subjects
Mechanical Engineering
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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.
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