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Duane S. Boning. Solakoglu, Gokce Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2018-02-16T20:05:03Z 2018-02-16T20:05:03Z 2017 2017 http://hdl.handle.net/1721.1/113768 1022282062 Thesis: M. Eng. in Advanced Manufacturing and Design, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 68-69). The 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.. by Gokce Solakoglu. M.Eng. in Advanced Manufacturing and Design 69 pages eng Massachusetts Institute of Technology MIT 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. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering. Using DMAIC methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedure Using Define, Measure, Analyze, Improve, and Control methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedure Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="c8c7e9af-2729-4487-b171-ad2f4fb8fb67"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Using DMAIC methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedure</Title> <Subtitle>Using Define, Measure, Analyze, Improve, and Control methodology to optimize data processing cycles with an overall goal of improving root cause analysis procedure</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <Authors> <Author> <DisplayName>Solakoglu, Gokce</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Mechanical Engineering.</Keyword> <Abstract>The 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..</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>