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dc.contributor.advisorDonald B. Rosenfield and David Simchi-Levi.en_US
dc.contributor.authorCheslek, Eric G. (Eric Gene), 1976-en_US
dc.contributor.otherLeaders for Manufacturing Program.en_US
dc.coverage.spatiale-uk---en_US
dc.date.accessioned2006-11-08T16:37:49Z
dc.date.available2006-11-08T16:37:49Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/34785
dc.descriptionThesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 61-62).en_US
dc.description.abstractThe Eastman Kodak Company's Annesley, United Kingdom facility assembles consumer and professional film for distribution to the European, Middle Eastern, African, and Russian (EAMER) region. Under pressure from digital photography, Kodak is managing the traditional film business for cash to fuel strategic initiatives throughout Kodak. Thus, cost reduction is a focus of the Annesley facility. This thesis describes a cost reduction initiative in the Annesley facility's component supply chain to eliminate a storage and staging warehouse. The specific tools used to complete this effort include the use of Strategic Inventory Placement (SIP) modeling1, implementation of kanbans, and application of excess inventory calculations. The intent of applying the SIP model was to find unnecessary inventories. Instead, the model revealed key supply chain challenges and constraints for the project to overcome. Kanbans were implemented across the Annesley and vendor sites. The design of these kanbans provides incentives to drive further lean improvements at Annesley and the vendors. Kanban sizes were calculated by a maximum per lead time methodology. This methodology provides a better estimate of demand variability than the reorder point, order up to methodology previously employed. Finally, the optimal stock level was calculated for components with excess inventories. The results of these calculations were combined with knowledge of future demand to reduce inventory to optimal levels. Through completion of this work the component storage and staging warehouse was closed. The kanban systems improved customer service while lowering inventories through improvement in inventory record accuracy. Using the optimal inventory calculation, excess and obsoleteen_US
dc.description.abstract(cont.) inventories were eliminated. These actions allowed sufficient inventory to maintain Annesley's production to be located at the Annesley site.en_US
dc.description.statementofresponsibilityby Eric G. Cheslek.en_US
dc.format.extent63 p.en_US
dc.format.extent3473764 bytes
dc.format.extent3473572 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.subjectChemical Engineering.en_US
dc.subjectLeaders for Manufacturing Program.en_US
dc.titleLean supplier relationships in the United Kingdom .en_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 Chemical Engineering
dc.contributor.departmentSloan School of Management
dc.identifier.oclc56768882en_US


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