Leveraging Statistical Process Control for continuous improvement of the manufacturing process
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1721.1/99001 |
| _version_ | 1811096784654565376 |
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| author | Fuller, Stephen Patrick |
| author2 | Bruce Cameron and Tauhid Zaman. |
| author_facet | Bruce Cameron and Tauhid Zaman. Fuller, Stephen Patrick |
| author_sort | Fuller, Stephen Patrick |
| collection | MIT |
| description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT. |
| first_indexed | 2024-09-23T16:49:00Z |
| format | Thesis |
| id | mit-1721.1/99001 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:49:00Z |
| publishDate | 2015 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/990012022-01-28T15:02:00Z Leveraging Statistical Process Control for continuous improvement of the manufacturing process Leveraging SPC for continuous improvement of the manufacturing process Fuller, Stephen Patrick Bruce Cameron and Tauhid Zaman. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Engineering Systems Division Sloan School of Management Sloan School of Management. Engineering Systems Division. Leaders for Global Operations Program. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 70-71). Statistical Process Control (SPC) has been applied to manufacturing processes for several decades as a means of ensuring product quality and has become a primary tool for the application of continuous improvement efforts. Continued Process Verification (CPV) is a Food and Drug Administration requirement that requires biopharmaceutical companies, such as Amgen, Inc., to demonstrate control of commercial manufacturing processes. Furthermore, the Food and Drug Administration's guidance on CPV specifically calls for the use of SPC. This thesis suggests including the use of the Akaike information criteria (AIC), a recognized statistical model selection criterion, for objective model selection for the purpose of establishing the most representative control limits in the application of SPC. The most representative control limits are instrumental in eliminating unnecessary use of resources in the evaluation of manufacturing data. Thus, the use of AIC is one way to reduce waste in the entire process of monitoring the manufacturing process, evaluating data, and making improvements to the manufacturing process. In addition, this thesis forms several key concepts for effective use of SPC and continuous improvement efforts when working with contract manufacturing organizations (CMOs). Finally, this thesis will discuss the applicability of the work done related to SPC as the foundation for effectively monitoring, evaluating and improving the manufacturing process. by Stephen Patrick Fuller. M.B.A. S.M. 2015-09-29T18:57:40Z 2015-09-29T18:57:40Z 2015 2015 Thesis http://hdl.handle.net/1721.1/99001 921182501 eng 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 71 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Sloan School of Management. Engineering Systems Division. Leaders for Global Operations Program. Fuller, Stephen Patrick Leveraging Statistical Process Control for continuous improvement of the manufacturing process |
| title | Leveraging Statistical Process Control for continuous improvement of the manufacturing process |
| title_full | Leveraging Statistical Process Control for continuous improvement of the manufacturing process |
| title_fullStr | Leveraging Statistical Process Control for continuous improvement of the manufacturing process |
| title_full_unstemmed | Leveraging Statistical Process Control for continuous improvement of the manufacturing process |
| title_short | Leveraging Statistical Process Control for continuous improvement of the manufacturing process |
| title_sort | leveraging statistical process control for continuous improvement of the manufacturing process |
| topic | Sloan School of Management. Engineering Systems Division. Leaders for Global Operations Program. |
| url | http://hdl.handle.net/1721.1/99001 |
| work_keys_str_mv | AT fullerstephenpatrick leveragingstatisticalprocesscontrolforcontinuousimprovementofthemanufacturingprocess AT fullerstephenpatrick leveragingspcforcontinuousimprovementofthemanufacturingprocess |