2026-09-19T07:26:07Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/624972022-01-13T07:54:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David E. Hardt.
Dai, Qi, M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2011-04-25T16:08:59Z
2011-04-25T16:08:59Z
2010
2010
http://hdl.handle.net/1721.1/62497
712179834
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 48-49).
This thesis addresses the quality improvement in a printing process at a food packaging company now experiencing hundreds of printing defects. Methodologies of Define, Measure, Analyze, Improve, and Control (DMAIC), and Response Surface Model were introduced to reduce the defect rate and control the process. As a result, critical inputs were identified, and a statistical regression model was constructed to predict the flaw size by knowing the critical inputs of the process. The mathematical optimal settings were determined to minimize the flaw size. Moreover, advanced control charts were developed to monitor and control the process.
by Dai, Qi.
M.Eng.
49 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
Mechanical Engineering.
Quality improvement and control based on defect reduction
Thesis
application/pdf
Publication
unknown
unknown
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