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dc.contributor.advisorDonald Rosenfield and David Simchi-Levi.en_US
dc.contributor.authorFeller, Brian (Brian C.)en_US
dc.contributor.otherLeaders for Manufacturing Program.en_US
dc.date.accessioned2008-12-11T18:34:30Z
dc.date.available2008-12-11T18:34:30Z
dc.date.copyright2008en_US
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/43828
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.en_US
dc.descriptionIncludes bibliographical references (p. 122-123).en_US
dc.description.abstractTotal landed cost and supply chain risk analysis are methods that many companies use to assess strategic sourcing decisions. For this project, landed cost is defined as those costs associated with material movement from a supplier to a designated PerkinElmer, Inc. (PKI) manufacturing site. Tools or models that are available in the technology marketplace are often too cumbersome to incorporate with a company's existing technology architecture or are too simplistic to compute an accurate landed cost. For PerkinElmer, as their Analytical Sciences business continues to grow globally, they are continuously reviewing their supplier portfolio and assessing their procurement strategy. The landed cost and risk analysis tool consists of two components, a cost model and a risk analysis model. Both models were developed to allow PKI to better understand the savings opportunities associated with a supplier selection. When performing supply chain modeling and cost optimization, it was necessary to be able to evaluate multiple scenarios that can influence a sourcing decision. Therefore, by changing parameters such as transportation mode, lead time, inventory carrying cost, freight cost, order frequency, and order quantities in the dynamic cost model, PKI is able to understand supply chain cost trade-offs. The model developed for this project is dynamic to allow multi-variable scenarios to be assessed simultaneously, thus increasing the overall analysis efficiency. For the risk analysis model, approximately 20 different factors were considered as a part of a risk portfolio. This concept adapts traditional financial investment portfolio management theory by considering how much operational impact one factor may have on PKI.en_US
dc.description.abstract(cont.) The concept is to consider a diversified portfolio, so all of the possible risk incurred by a sourcing decision does not reside in any one "category" (logistics, inventory, etc.). The outcome of the model is an index and adjusted cost, providing PKI with an estimate of the potential cost of doing business with a supplier based on their risk profile.en_US
dc.description.statementofresponsibilityby Brian Feller.en_US
dc.format.extent123 p.en_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 Manufacturing Program.en_US
dc.titleDevelopment of a total landed cost and risk analysis model for global strategic sourcingen_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. Engineering Systems Division
dc.contributor.departmentSloan School of Management
dc.identifier.oclc262621381en_US


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