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dc.contributor.advisorDavid Simchi-Levi and Stephen Graves.en_US
dc.contributor.authorGuertin, Janeen_US
dc.contributor.otherLeaders for Global Operations Program.en_US
dc.date.accessioned2014-10-08T15:28:57Z
dc.date.available2014-10-08T15:28:57Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/90784
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2014. In conjunction with the Leaders for Global Operations Program at MIT.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 64-65).en_US
dc.description.abstractThere is significant complexity facing the Global Footwear Planning team when sourcing production, especially for sandals. The challenges include increasing manufacturing costs coupled with a changing tariff landscape and a high degree of complexity to produce the products. This thesis provides a practical example of the use of an optimization model for determining where to produce, and how much to produce, of each product, including the ability to perform strategic what-if scenarios. The model is based on minimizing the total landed cost for each product. This includes the manufacturing, transportation, holding, and tariff costs. The initial pilot model results suggested a 4-11% decrease in spending for a given year. This model provides the starting point for additional work to improve optimization in the sourcing group. The implementation of this model reinforces the notion of how much support is needed in an organization to change processes and implement new software models. Future work should include the addition of simulation, as the data are highly variable at the decision point.en_US
dc.description.statementofresponsibilityby Jane Guertin.en_US
dc.format.extent65 pagesen_US
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/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.subjectEngineering Systems Division.en_US
dc.subjectLeaders for Global Operations Program.en_US
dc.titlePractical example of developing and implementing an optimization & scenario planning toolen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.description.degreeS.M.en_US
dc.contributor.departmentLeaders for Global Operations Program at MITen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.contributor.departmentSloan School of Management
dc.identifier.oclc891569532en_US


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