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dc.contributor.advisorRoy E. Welsch and Christopher L. Magee.en_US
dc.contributor.authorRangaraj, Dhanya Cumbumen_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2013-09-24T19:36:59Z
dc.date.available2013-09-24T19:36:59Z
dc.date.copyright2013en_US
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/81013
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Global Operations Program at MIT, 2013.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 67-68).en_US
dc.description.abstractAmgen is shifting certain drugs from traditional vial and syringe primary containers to more patient friendly delivery devices known as combination products. Combination products are defined by the combination of a medical device and drug into a single entity. These new products are accompanied by new regulations and new production processes. Traditional drug manufacturers are required by the FDA to embrace certain practices traditionally pertinent to medical devices. As Amgen seeks to integrate these device processes into its business processes, additional quality procedures are necessary to control and improve the new production processes. This thesis seeks to examine process control techniques in the clinical manufacturing organization in an attempt to understand and improve the current new processes. A control plan was developed based on risk inputs, observational run data, and batch release requirements. A data collection process was then implemented and data was analyzed in control charts and aggregated defect rate analysis. Results show that 1) the overall assembly process appeared to stabilize over the period of analysis, 2) although processes were within specification limits, none of the inspection processes were entirely within statistical control, and 3) investigative avenues for out of control processes are suggested as a part of the control feedback loop. Recommendations regarding managerial challenges in implementing a quality control system are also suggested. The opinions expressed herein are solely those of the author and do not necessarily reflect those of Amgen Inc.en_US
dc.description.statementofresponsibilityby Dhanya Cumbum Rangaraj.en_US
dc.format.extent78 p.en_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.subjectSloan School of Management.en_US
dc.subjectMechanical Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleProcess control implementation in a clinical manufacturing environmenten_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.oclc857790208en_US


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