dc.contributor.advisor | Deborah Nightingale and Roy Welsch. | en_US |
dc.contributor.author | Johnson, Briana F | en_US |
dc.contributor.other | Leaders for Manufacturing Program. | en_US |
dc.date.accessioned | 2008-12-11T18:34:00Z | |
dc.date.available | 2008-12-11T18:34:00Z | |
dc.date.copyright | 2008 | en_US |
dc.date.issued | 2008 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/43825 | |
dc.description | Thesis (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.description | Includes bibliographical references (p. 65). | en_US |
dc.description.abstract | With an economy and customer base that is global, companies are increasingly expanding outside their home country's borders. Many times this is done to take advantage of lower labor or material rates, to increase proximity to the customer, to decrease logistics and transportation costs, to avoid tariffs and other taxes as well as many other factors. How does a company take advantage of the benefits of global operations while still taking into account the corporate strategy and risks associated with a location? By looking beyond standard matrix analysis tools that provide a one number comparison of potential locations, this thesis will expand the existing tools to incorporate the views of Enterprise Architecting to provide a more complete picture of how the decision to expand to one location versus another supports the desired architecture of the firm. This thesis combines analytical hierarchy process with a two level decision matrix to quantify the score of each location. A risk profile was developed to quantify the risk associated with specific locations and criteria in order to provide a more complete picture of the potential costs and benefits of building a facility in a certain location. This more complete view of location analysis will provide a tool that is both repeatable and reliable in its results and allows for an objective decision to be made on location in terms of the critical factors. | en_US |
dc.description.statementofresponsibility | by Briana F. Johnson. | en_US |
dc.format.extent | 71 p. | 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 | Engineering Systems Division. | en_US |
dc.subject | Leaders for Manufacturing Program. | en_US |
dc.title | Development of a global facility location analysis tool | en_US |
dc.title.alternative | Global manufacturing facility location analysis tool | en_US |
dc.type | Thesis | en_US |
dc.description.degree | S.M. | en_US |
dc.description.degree | M.B.A. | en_US |
dc.contributor.department | Leaders for Manufacturing Program at MIT | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering Systems Division | |
dc.contributor.department | Sloan School of Management | |
dc.identifier.oclc | 262618142 | en_US |