2026-09-19T14:40:39Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/990032022-01-28T15:36:51Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
David Simchi-Levi and Stephen C. Graves.
Jacobs, David G. (David Gregory)
Leaders for Global Operations Program.
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Engineering Systems Division
Sloan School of Management
2015-09-29T18:57:46Z
2015-09-29T18:57:46Z
2015
2015
http://hdl.handle.net/1721.1/99003
921182824
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Thesis: S.M., Massachusetts Institute of Technology, Engineering Systems Division, 2015. In conjunction with the Leaders for Global Operations Program at MIT.
Title as it appears in MIT Commencement Exercises program, June 5, 2015: Source base optimization : footwear profiling at Nike, Inc. Cataloged from PDF version of thesis.
Includes bibliographical references (page 31).
The long term sourcing for footwear development, or "profiling," at Nike, Inc. has grown with the company and become significantly complex. It is no longer possible for a single person, no matter the level of experience, to optimize the company's profiling plan without computational assistance. Optimization methods, specifically mixed-integer linear programing, present an opportunity to save between 6.7 and 9.7% of combined labor and duty costs to the company. The model proposed by this research is responsible for justifying that potential but is merely a starting point for Nike, Inc. Further application and research into the company's manufacturing processes including transportation costs, technology groupings, and the Manufacturing Index (MI) could wield results that far surpass the levels obtained by this research. Implementation of an algorithmic approach is challenging for an organization that values "storytelling," collaboration, and narrative. However, in time I believe that this model, or something similar, will find a place, and deliver results, for Nike, Inc.
by David G. Jacobs.
M.B.A.
S.M.
31 pages
eng
Massachusetts Institute of Technology
M.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
Sloan School of Management.
Engineering Systems Division.
Leaders for Global Operations Program.
Practical example of base source optimization : footwear profiling at Nike, Inc.
Footwear profiling at Nike, Inc.
Source base optimization : footwear profiling at Nike, Inc.
Thesis
application/pdf
false
Publication
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<Abstract>The long term sourcing for footwear development, or "profiling," at Nike, Inc. has grown with the company and become significantly complex. It is no longer possible for a single person, no matter the level of experience, to optimize the company's profiling plan without computational assistance. Optimization methods, specifically mixed-integer linear programing, present an opportunity to save between 6.7 and 9.7% of combined labor and duty costs to the company. The model proposed by this research is responsible for justifying that potential but is merely a starting point for Nike, Inc. Further application and research into the company's manufacturing processes including transportation costs, technology groupings, and the Manufacturing Index (MI) could wield results that far surpass the levels obtained by this research. Implementation of an algorithmic approach is challenging for an organization that values "storytelling," collaboration, and narrative. However, in time I believe that this model, or something similar, will find a place, and deliver results, for Nike, Inc.</Abstract>
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