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dc.contributor.advisorStephen Graves and Deborah J. Nightingale.en_US
dc.contributor.authorWang, Sam, M.B.A. Massachusetts Institute of Technologyen_US
dc.contributor.otherLeaders for Manufacturing Program.en_US
dc.date.accessioned2009-01-30T16:29:43Z
dc.date.available2009-01-30T16:29:43Z
dc.date.copyright2008en_US
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/44298
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.en_US
dc.descriptionIncludes bibliographical references (p. 55).en_US
dc.description.abstractIntel's Fab 17, located in Hudson, Massachusetts, has experienced dramatic improvements in its cycle time performance in the last two years. These improvements have been attributed to lean implementation efforts, reduced tool variability, as well as other key initiatives. In its efforts to continuously improve cycle time and cycle time variability, a new methodology of conducting wafer starts was developed and pilot implementations were conducted. The new methodology was based upon the concept of Little's Law of Cycle Time = Inventory / Output, whereby controlling the level of inventory through wafer starts would positively impact cycle time performance. Thus, by monitoring the current Work-in-Process levels at selected areas of operations and contrasting it with the optimal levels based upon Little's Law, an appropriate level of wafer starts could be determined.Close collaboration between the manufacturing, engineering, and planning departments allowed for the creation and pilot implementations of the wafer starts control model. The pilot implementations were conducted in three separate phases, providing opportunities for data analyses and methodology improvements. Model parameters and logic were modified between each phase to better reflect actual fab realities and to achieve more effective outcomes. Positive results were observed during the pilot implementations, as cycle time variability (as defined by standard deviations) decreased and overall fab cycle time remained consistently lower, all during a period of increased production. As of the conclusion of the internship, Fl7 planned to adopt the wafer starts control model as part of its routine starts process.en_US
dc.description.statementofresponsibilityby Sam Wang.en_US
dc.format.extent55 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.subjectEngineering Systems Division.en_US
dc.subjectLeaders for Manufacturing Program.en_US
dc.titleCycle time reduction through wafer starts controlen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Manufacturing Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentSloan School of Management
dc.identifier.oclc272382557en_US


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