Quality improvement and control based on defect reduction
Author(s)Dai, Qi, M. Eng. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Dept. of Mechanical Engineering.
David E. Hardt.
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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.
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 48-49).
DepartmentMassachusetts Institute of Technology. Dept. of Mechanical Engineering.
Massachusetts Institute of Technology