dc.contributor.advisor | Retsef Levi and Franz-Josef Ulm. | en_US |
dc.contributor.author | Martin, Brian C.(Brian Christopher) | en_US |
dc.contributor.other | Sloan School of Management. | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. | en_US |
dc.contributor.other | Leaders for Global Operations Program. | en_US |
dc.date.accessioned | 2019-10-11T22:24:28Z | |
dc.date.available | 2019-10-11T22:24:28Z | |
dc.date.copyright | 2019 | en_US |
dc.date.issued | 2019 | en_US |
dc.date.issued | 2019 | en_US |
dc.identifier.uri | https://hdl.handle.net/1721.1/122579 | |
dc.description | Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT | en_US |
dc.description | Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019, 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 81-82). | en_US |
dc.description.abstract | To reach its long term revenue targets, EDSCO Fasteners must expand its smooth bar anchor bolt product line to increase revenue generation. In order to maximize profit during this expansion, an operational strategy must be developed to minimize total landed cost. This project will assess the current manufacturing processes and develop a realistic and practical model of the supply chain. Using data collected through pilot project implementation the model's parameters are calibrated and the model accuracy is validated. By developing this model as a linear optimization program it can be used as a decision support tool to inform the operational strategy. Likely expansion scenarios and decision points (consolidation, acquisition, capital expenditures, etc.) are considered as decision variables in the supply chain optimization model to minimize total landed cost. These results are used to inform a recommended scenario based strategy for product line expansion. | en_US |
dc.description.statementofresponsibility | by Brian C. Martin. | en_US |
dc.format.extent | 88 pages | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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 | Civil and Environmental Engineering. | en_US |
dc.subject | Leaders for Global Operations Program. | en_US |
dc.title | Manufacturing footprint strategy for product line expansion | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.B.A. | en_US |
dc.description.degree | S.M. | en_US |
dc.contributor.department | Sloan School of Management | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering | en_US |
dc.contributor.department | Leaders for Global Operations Program | en_US |
dc.identifier.oclc | 1119388619 | en_US |
dc.description.collection | M.B.A. Massachusetts Institute of Technology, Sloan School of Management | en_US |
dc.description.collection | S.M. Massachusetts Institute of Technology, Department of Civil and Environmental Engineering | en_US |
dspace.imported | 2019-10-11T22:24:27Z | en_US |
mit.thesis.degree | Master | en_US |
mit.thesis.department | Sloan | en_US |
mit.thesis.department | CivEng | en_US |