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dc.contributor.advisorThomas Roemer and Alvin Drake.en_US
dc.contributor.authorHenkle, Aimee L. (Aimee Leigh), 1975-en_US
dc.contributor.otherLeaders for Manufacturing Program.en_US
dc.date.accessioned2006-11-08T16:33:54Z
dc.date.available2006-11-08T16:33:54Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/34762
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 72).en_US
dc.description.abstractThe work for this thesis was performed at Honeywell in the Automation and Control Solutions (ACS) division. The project focuses on ACS's manufacturing strategy regarding its global supply chain design, primarily discussing the manufacturing growth opportunities available in emerging regions. Honeywell ACS's current methodology for the development of a long-term manufacturing strategy is based on growth and total cost reduction objectives. In order to comprehend the total cost of the manufacturing strategy, considerations such as inventory, logistics and duties, outsourcing and material sourcing are evaluated. The project also considers a factory's geographical location and ACS's year-by-year implementation plan. An outcome of this Honeywell project and the basis of this thesis is the development of a general supply chain design and optimization methodology that utilizes three analytical tools (Country Selection Framework, Total Cost Model and Implementation Plan Process) that are capable of validating the supply chain design of any company. The analytical tools can be used to verify key strategic supply chain decisions or to create a baseline manufacturing strategy. The following results can be determined using this supply chain design methodology: Determine an appropriate operating region for current or future business needs; Evaluate the feasibility of factory relocation projects by considering all relevant costs; Evaluate the cost implications of the supply chain structure by considering logistics, inventory and material sourcing costs; Understand the impact of outsourcing on the manufacturing strategy; Recommend a year-by-year implementation plan in the case of multiple projects and limited capital resources.en_US
dc.description.statementofresponsibilityby Aimee L. Henkle.en_US
dc.format.extent72 p.en_US
dc.format.extent4404480 bytes
dc.format.extent4410475 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
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/1721.1/7582
dc.subjectSloan School of Management.en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.subjectLeaders for Manufacturing Program.en_US
dc.titleGlobal supply chain design and optimization methodologyen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentLeaders for Manufacturing Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentSloan School of Management
dc.identifier.oclc56714382en_US


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