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dc.contributor.advisorDuane S. Boning.en_US
dc.contributor.authorSolakoglu, Gokceen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2018-02-16T20:05:03Z
dc.date.available2018-02-16T20:05:03Z
dc.date.copyright2017en_US
dc.date.issued2017en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/113768
dc.descriptionThesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 68-69).en_US
dc.description.abstractThe main objective of this thesis is to use the DMAIC methodology to streamline customer related procedures in Waters Corporation in order to improve root cause analysis (RCA) capability. First, a software based approach is proposed to streamline the data collection stage in the field. The proposed system would ensure that field service reports capture essential information, are consistent, and are more easily filled out while at the customer site. Second, a new coding system is proposed to enable global service support engineers to better identify the underlying causes of field calls. By addressing these weaknesses in the current process, this thesis contributes a strategy to improve the content of the data captured during the field applications and to provide better feedback to the quality department for improved product robustness..en_US
dc.description.statementofresponsibilityby Gokce Solakoglu.en_US
dc.format.extent69 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleUsing DMAIC methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedureen_US
dc.title.alternativeUsing Define, Measure, Analyze, Improve, and Control methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedureen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Advanced Manufacturing and Designen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.identifier.oclc1022282062en_US


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