Show simple item record

dc.contributor.advisorRoy Welsch and Jung-Hoon Chun.en_US
dc.contributor.authorBellows, William D. (William Devereaux)en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2014-12-08T18:57:49Z
dc.date.available2014-12-08T18:57:49Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/92226
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 57-58).en_US
dc.description.abstractDuring 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.en_US
dc.description.statementofresponsibilityby William D. Bellows.en_US
dc.format.extent63 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.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.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.subjectSloan School of Management.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleAnalysis of randomly occurring high injection forces in an insulin delivery deviceen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.contributor.departmentSloan School of Management
dc.identifier.oclc897472041en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record