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dc.contributor.advisorArnold Barnett and Duane Boning.en_US
dc.contributor.authorAmar, Ajay, 1964-en_US
dc.date.accessioned2005-08-19T19:51:42Z
dc.date.available2005-08-19T19:51:42Z
dc.date.copyright1999en_US
dc.date.issued1999en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/9742
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.en_US
dc.descriptionIncludes bibliographical references (leaf 40).en_US
dc.description.abstractThis thesis concerns in-line inspection scheduling policies in semiconductor chip manufacturing. Intel uses extensive monitoring (inspections) in the manufacturing process. While the inspections help safeguard process stability and boost manufacturing yield, they also account for a substantial fraction of the company's variable manufacturing costs. Intel is under pressure to cut inspections as a means of lowering these costs, and is currently pursuing an aggressive reduction policy. This thesis examines the risks and benefits of inspection reduction, and identifies competing considerations that affect the decision of how much inspection is appropriate. It proposes a decision algorithm to evaluate current inspection levels and determine the optimal frequency of inspections.en_US
dc.description.statementofresponsibilityby Ajay Amar.en_US
dc.format.extent40 leavesen_US
dc.format.extent2652158 bytes
dc.format.extent2651918 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
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/1721.1/7582
dc.subjectSloan School of Managementen_US
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleReduction of process monitoring in semiconductor chip manufacturingen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentSloan School of Managementen_US
dc.identifier.oclc42757374en_US


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