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dc.contributor.advisorDaniel Frey and Roy Welsch.en_US
dc.contributor.authorProctor, Clinton Lee.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.accessioned2019-09-24T20:58:41Z
dc.date.available2019-09-24T20:58:41Z
dc.date.copyright2018en_US
dc.date.issued2018en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122281
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2018, In conjunction with the Leaders for Global Operations Program at MITen_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018, 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 (page 63).en_US
dc.description.abstractA key value stream for Company X is a manufacturing area dedicated to production of precision electro-mechanical systems, of which they are contracted to service during the complete lifecycle. Currently, the production system is dedicated to the refurbishment of these electro-mechanical systems; it could be characterized as a high-mix low volume production system with a-job-shop layout. The operations team is being pressured to increase both production volumes and the product mix, while maintaining a competitive cost structure in a highly constrained environment, in terms of both space and resources. This thesis proposes two distinct projects to address the challenges faced. First, develop a framework to analyze the value stream, utilizing a discrete event simulation (DES) tool to characterize the production system.en_US
dc.description.abstractThe method will validate the DES tool against the current state production system and key performance indicators (KPI's) then conduct what-if analyses and studies based upon anticipated contractual obligations. This effort will identify risks within the value stream related to the transition from current state to future state, while studying the impact of changes in shipment volumes, product mix, direct labor, and capital equipment. This model supported conclusions and recommendations drawn, based upon the results of the DES, to build confidence in the production system and enable the value stream to meet the requirements of the increased volumes and complexity through making informed operational decisions. Second, to improve a key subassembly within the value stream identified as problematic with respect to labor content, cycle time, and ergonomics. A project has been identified to develop a new process to join two components with a tightly controlled radial bond.en_US
dc.description.abstractCurrently, the components are bonded, and the bond material must cure for several days. Upon curing, the joint contains excess bond material that must be removed for several reasons. The excess material is removed through a manual cutting process that is physically taxing on operators. After cutting, a cleanup process is initiated where an operator fills the void left from cutting with additional material; this additional bond material needs several additional days to cure. The new process utilizes an inflatable vessel that will apply pressure during the bond process to direct excess material away from the joint, eliminating the need for secondary processing in the joint, favorably impacting labor content, cycle time, and the ergonomics of operators. To speed validation and adoption, this project leveraged the 3D printing capabilities of the manufacturer.en_US
dc.description.abstractBoth the testing fixture and test articles were 3D printed in order to accelerate development and reduce risk associated with investment in the development process. Testing of the new process has indicated that the new method produces bonds of acceptable quality with markedly reduced labor content, resulting in a projected annual savings of $950k.en_US
dc.description.statementofresponsibilityby Clinton Lee Proctor.en_US
dc.format.extent63 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.titleImproving operational effectiveness in the job-shop environment through discrete event simulation and innovative process designen_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.oclc1108636939en_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.imported2019-09-24T20:58:41Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentSloanen_US


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