dc.contributor.advisor | Stanley Gershwin and Stephen Graves. | en_US |
dc.contributor.author | Lurie, Amanda Rikki | en_US |
dc.contributor.other | Leaders for Global Operations Program. | en_US |
dc.date.accessioned | 2016-09-27T15:14:57Z | |
dc.date.available | 2016-09-27T15:14:57Z | |
dc.date.copyright | 2016 | en_US |
dc.date.issued | 2016 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/104394 | |
dc.description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT. | en_US |
dc.description | Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016. In conjunction with the Leaders for Global Operations Program at MIT. | en_US |
dc.description | Cataloged from PDF version of thesis. | en_US |
dc.description | Includes bibliographical references (pages 62-64). | en_US |
dc.description.abstract | Nike established the Advanced Manufacturing team to create a future of manufacturing that will be able to better meet growing customer expectations, battle rising costs of production, and unlock new design capabilities. While new methods of manufacturing are groundbreaking for Nike, there is currently no standard operating procedure on how to properly integrate these new methods into footwear manufacturing. Nike would like to better understand the current process and identify ways to increase the ease of deployment to ensure profitability and improved speed to market. To do this, the research explored the current state of bringing onboard a new factory partner to the factory network, investigated metrics through which to evaluate inefficiencies, and provided suggestions for process improvements to create a more efficient future state. Future state projections show significant decrease in factory setup time. Preliminary implementation of the suggestions shows encouraging results in decreasing cost and increasing speed to market. While results are currently theoretical, this research provides a baseline framework to identify waste and develop process improvements to more efficiently onboard a new factory partner. | en_US |
dc.description.statementofresponsibility | by Amanda Rikki Lurie. | en_US |
dc.format.extent | 64 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | 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. | en_US |
dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Sloan School of Management. | en_US |
dc.subject | Institute for Data, Systems, and Society. | en_US |
dc.subject | Engineering Systems Division. | en_US |
dc.subject | Leaders for Global Operations Program. | en_US |
dc.title | Accelerating the onboarding of a new factory partner | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.B.A. | en_US |
dc.description.degree | S.M. in Engineering Systems | en_US |
dc.contributor.department | Leaders for Global Operations Program at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering Systems Division | |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | |
dc.contributor.department | Sloan School of Management | |
dc.identifier.oclc | 958268701 | en_US |