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dc.contributor.advisorChris Caplice.en_US
dc.contributor.authorKhamsi, Cyrilen_US
dc.contributor.authorStolear, Veronicaen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2017-03-20T19:37:58Z
dc.date.available2017-03-20T19:37:58Z
dc.date.copyright2016en_US
dc.date.issued2016en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/107516
dc.descriptionThesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Supply Chain Management Program, 2016.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 52-53).en_US
dc.description.abstractTo be competitive, businesses must make supply network design decisions, but often with only limited information and under uncertain conditions. How can an organization understand trade-offs between supply network decisions, without relying on complex, black-box models that require extensive data collection and hidden assumptions? We apply approximation methods to estimate and compare total logistics cost of supply network designs under various business conditions, such as variations in demand, changing costs, and shifting production policies. The method is applied to the real-world example of XYZ Co, evaluating network design choices for a new, rapidly growing product category: fresh foods. The method is used to evaluate tradeoffs between five distinct network designs for supply of these highly perishable foods to XYZ Co stores from a sole regional supplier. The model provides insights to help understand tradeoffs and key cost drivers, thereby channeling subsequent, more intensive and time- consuming analysis.en_US
dc.description.statementofresponsibilityby Cyril Khamsi and Veronica Stolear.en_US
dc.format.extent[vi], 53 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSupply Chain Management Program.en_US
dc.subjectEngineering Systems Division.en_US
dc.titleEfficient supply chain design for highly-perishable foodsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Supply Chain Management Program
dc.identifier.oclc962735647en_US


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