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dc.contributor.advisorKamal Youcef-Toumi and Roy Welsch.en_US
dc.contributor.authorZarnowski, Chelsea.en_US
dc.contributor.otherSloan School of Management.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2019-10-11T22:25:14Z
dc.date.available2019-10-11T22:25:14Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122596
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MITen_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MITen_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 51-52).en_US
dc.description.abstractThe robotics industry continues to grow rapidly. More industries are moving towards automation and are looking for the robotics industry to support the industry 4.0 movement. Due to a push by consumers, robotics producers are getting pressured by customers to deliver higher quality products faster. Motivated by Cost of Quality and Design of Experiments methods, the author breaks down the production systems test of robot manufacturing to identify areas for the focus of experimentation to improve quality and resource utilization. Considering connections between First Pass Yield and Field Failure Rates, the focus on quality improvement demonstrates the strong ties from the robot manufacturers to the final end user customers. By analyzing the robotic production and test systems, the author identifies three areas for the focus of experiments: 1) Test effectivity, 2) Component failure, 3) Robot system and test cell matching. Within each of these areas further analysis then identifies the experimental topics that can be developed through modified Design of Experiments steps to improve quality and remove the waste from failures and production system issues.en_US
dc.description.statementofresponsibilityby Chelsea Zarnowski.en_US
dc.format.extent52 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.subjectSloan School of Management.en_US
dc.subjectMechanical Engineering.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titleAnalysis of robotic systems test methods targeting test resource utilization improvementen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentLeaders for Global Operations Programen_US
dc.identifier.oclc1119537670en_US
dc.description.collectionM.B.A. Massachusetts Institute of Technology, Sloan School of Managementen_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2019-10-11T22:25:13Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSloanen_US
mit.thesis.departmentMechEen_US


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