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The application of lean manufacturing principles in a high mix low volume environment

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2005. / Includes bibliographical references (p. 71). / This thesis studies the opportunities for the application of lean manufacturing tools in a high- mix, low-volume traditional manufacturing factory floor setting. Value stream mapping and associated analytical tools are used to explore the opportunities to streamline the flow of products on the floor with a focus on reducing inventory and improving quality. To complement the analysis, this thesis also examines the impact of improved floor employee involvement. It considers several aspects including the increased empowerment of the direct labor staff, stronger team participation, and a greater focus on solutions specifically tailored to area. Based on the results of the research, the recommendation is an increased focus on developing team skills and empowerment, specifically within the direct labor staff. / by Amber N. Dudley. / S.M. / M.B.A.

Identiferoai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/34828
Date January 2005
CreatorsDudley, Amber Nicole
ContributorsDonald Rosenfield and Daniel Frey., Leaders for Manufacturing Program., Leaders for Manufacturing Program at MIT, Massachusetts Institute of Technology. Department of Mechanical Engineering, Sloan School of Management
PublisherMassachusetts Institute of Technology
Source SetsM.I.T. Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Format71 p., 3261623 bytes, 3264291 bytes, application/pdf, application/pdf, application/pdf
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., http://dspace.mit.edu/handle/1721.1/7582

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