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dc.contributor.advisorDavid E. Hardt and Duane S. Boning.en_US
dc.contributor.authorUdayshankar, Siddharthen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2016-03-03T21:06:49Z
dc.date.available2016-03-03T21:06:49Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/101527
dc.descriptionThesis: M. Eng. in Manufacturing, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 84-85).en_US
dc.description.abstractStatistical process control is implemented in a high volume machining center to reduce scrap and improve the quality of production. New hires are working in a complex production environment with excellent metrology resources that can be used for real time inspection but there is a lack of standard operating procedures to help them use these resources. A methodology for implementation of statistical process control is developed and evaluated by implementing it in a section of the machining center which has the biggest benefit. Gages are evaluated and control charts are established in that section. Operators are trained in the standard operating procedures related to the different components of SPC. The standard operating procedures are developed to be portable such that SPC can be used in various sections of the machining center. Findings include cost saving benefits and scrap rate reduction of approximately 50% can be achieved for the entire machining center by the implementation of statistical process control. A training matrix is developed to train different people of the company on the concepts of SPC. Implementing SPC in a high volume machining center has proved to deliver value in reduction of scrap, quality improvement, ability to react to changes for the new hires and other benefits. Standard operating procedures have made a difference in the quality inspection of parts and in maintaining high quality standards that can make the machining center a world class manufacturer.en_US
dc.description.statementofresponsibilityby Siddharth Udayshankar.en_US
dc.format.extent129 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.titleStatistical process control (SPC) in a high volume machining center : value of standard operating proceduresen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Manufacturingen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc939918857en_US


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