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dc.contributor.advisorWhitney, Daniel
dc.contributor.advisorCarrier, John
dc.contributor.advisorBoning, Duane
dc.contributor.authorCovell, David D.
dc.date.accessioned2023-07-31T19:25:18Z
dc.date.available2023-07-31T19:25:18Z
dc.date.issued2023-06
dc.date.submitted2023-07-14T19:57:18.090Z
dc.identifier.urihttps://hdl.handle.net/1721.1/151240
dc.description.abstractComplex manufacturing systems are managed through their schedules, which help to make sure that the right part is in the right place at the right time. The challenge that many companies face is that the schedule is based off of a series of assumptions, and the manufacturing system suffers when inevitable variability interferes with the best laid plans. The challenge addressed in this paper involves how to consume an operation schedule and maximize output in a system with significant sources of variability. What follows is a case study on the use of well-documented methods in operations management to improve the performance of a manufacturing system. Through the use of Lean process mapping, Theory of Constraints focus on the bottleneck, and CONWIP methods of order release, I show that it is possible to achieve lower Work-In-Progress (WIP) levels and improved performance on key metrics relative to a purely push system. Successful implementation of the release strategy required not only an understanding of factory dynamics, but also an understanding of the dynamics surrounding implementation of changes within a balanced organization.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titlePreventing WIPlash: Implementation of a Controlled Release Strategy to Improve Shop Performance
dc.typeThesis
dc.description.degreeS.M.
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentSloan School of Management
dc.identifier.orcidhttps://orcid.org/0000-0002-1962-7685
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Management
thesis.degree.nameMaster of Science in Electrical Engineering and Computer Science


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