Analysis of randomly occurring high injection forces in an insulin delivery device

Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. In conjunction with the Leaders for Global Operations Program at MIT.

Bibliographic Details
Main Author: Bellows, William D. (William Devereaux)
Other Authors: Roy Welsch and Jung-Hoon Chun.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/92226
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author Bellows, William D. (William Devereaux)
author2 Roy Welsch and Jung-Hoon Chun.
author_facet Roy Welsch and Jung-Hoon Chun.
Bellows, William D. (William Devereaux)
author_sort Bellows, William D. (William Devereaux)
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. In conjunction with the Leaders for Global Operations Program at MIT.
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spelling mit-1721.1/922262022-01-28T15:12:16Z Analysis of randomly occurring high injection forces in an insulin delivery device Bellows, William D. (William Devereaux) Roy Welsch and Jung-Hoon Chun. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Mechanical Engineering Sloan School of Management Mechanical Engineering. Sloan School of Management. Leaders for Global Operations Program. Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. In conjunction with the Leaders for Global Operations Program at MIT. Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT. Cataloged from PDF version of thesis. Includes bibliographical references (pages 57-58). During manufacturing scale-up of a new product, new failure modes often surface which require corrective action. However, as production numbers of an insulin injection device pass 200 million per year, testing continues to find sub-assemblies with too-high injection forces, seemingly at random. Up until now, no corrective action has been effective in preventing these problems. These non-conforming sub-assemblies cause batches to be rejected, reducing the production yield at Sanofi's Site Frankfurt Devices (SFD) production facility. This thesis describes the current state of rejected batch problem solving and explores the application of new methods to better understand the root problems and improve the process. Frequency spectra analysis of testing data using the Fast Fourier Transform (FFT), combined with device physics, identified the key interaction points within the sub-assemblies. This model of part interactions has been verified through testing of purpose-built defective pieces and examination of defective parts. The verified model was then used to identify which components within sub-assemblies cause non-conformances. The root causes of several failure codes were determined, and results were further confirmed by rebuilding and retesting subassemblies with the identified problem components. These results confirm the usefulness of this novel application of frequency analysis to a new field of industrial troubleshooting. Various improvement and control methods are explored and next steps recommended for Sanofi to further improve quality control processes and thereby the production yield. The opinions expressed herein are solely those of the author and do not necessarily reflect those of Sanofi S.A. by William D. Bellows. S.M. M.B.A. 2014-12-08T18:57:49Z 2014-12-08T18:57:49Z 2014 2014 Thesis http://hdl.handle.net/1721.1/92226 897472041 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 63 pages application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Sloan School of Management.
Leaders for Global Operations Program.
Bellows, William D. (William Devereaux)
Analysis of randomly occurring high injection forces in an insulin delivery device
title Analysis of randomly occurring high injection forces in an insulin delivery device
title_full Analysis of randomly occurring high injection forces in an insulin delivery device
title_fullStr Analysis of randomly occurring high injection forces in an insulin delivery device
title_full_unstemmed Analysis of randomly occurring high injection forces in an insulin delivery device
title_short Analysis of randomly occurring high injection forces in an insulin delivery device
title_sort analysis of randomly occurring high injection forces in an insulin delivery device
topic Mechanical Engineering.
Sloan School of Management.
Leaders for Global Operations Program.
url http://hdl.handle.net/1721.1/92226
work_keys_str_mv AT bellowswilliamdwilliamdevereaux analysisofrandomlyoccurringhighinjectionforcesinaninsulindeliverydevice