Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery
Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Global Operations Program at MIT, 2011.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2011
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Online Access: | http://hdl.handle.net/1721.1/66044 |
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author | Vasil, Timothy J. (Timothy James) |
author2 | Abbott Weiss and Charles H. Fine. |
author_facet | Abbott Weiss and Charles H. Fine. Vasil, Timothy J. (Timothy James) |
author_sort | Vasil, Timothy J. (Timothy James) |
collection | MIT |
description | Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Global Operations Program at MIT, 2011. |
first_indexed | 2024-09-23T14:16:53Z |
format | Thesis |
id | mit-1721.1/66044 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T14:16:53Z |
publishDate | 2011 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/660442022-01-28T15:15:12Z Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery Vasil, Timothy J. (Timothy James) Abbott Weiss and Charles H. Fine. Leaders for Global Operations Program. Leaders for Global Operations Program at MIT Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Sloan School of Management Sloan School of Management. Electrical Engineering and Computer Science. Leaders for Global Operations Program. Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Global Operations Program at MIT, 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 197-199). Developed during our recent six-month engagement at Dell-a leading computer manufacturer and services provider with one of the world's leading supply chains--we discuss a network flow-based mixed-integer linear program (MILP) model to identify the critical factors in optimizing reverse supply chain design decisions to optimize profit. The model is fast, intuitive, flexible, and robust to uncertainty. Its outputs include specific design recommendations, financial impact estimates, dynamically generated product routing diagrams, and multi-scenario sensitivity analysis. Through two case studies, the first in U.S. smartphone returns and the second in Europe, Middle East and Africa (EMEA) Alienware-branded computer returns, we show how our model fosters standardized, robust strategic decision-making and serves as a platform upon which to build management systems for continuous improvement. We then discuss two such systems: a simulation-based reusable packaging cost-benefit analysis (CBA) calculator, and an automated dashboard for managing disassembly-for-parts decisions. by Timothy J. Vasil. S.M. M.B.A. 2011-09-27T18:36:11Z 2011-09-27T18:36:11Z 2011 2011 Thesis http://hdl.handle.net/1721.1/66044 752301991 eng 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 199 p. application/pdf Massachusetts Institute of Technology |
spellingShingle | Sloan School of Management. Electrical Engineering and Computer Science. Leaders for Global Operations Program. Vasil, Timothy J. (Timothy James) Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery |
title | Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery |
title_full | Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery |
title_fullStr | Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery |
title_full_unstemmed | Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery |
title_short | Forward thinking in reverse : design, implementation, and continuous monitoring of a closed-loop supply chain using optimization, simulation, and dashboard systems to maximize net recovery |
title_sort | forward thinking in reverse design implementation and continuous monitoring of a closed loop supply chain using optimization simulation and dashboard systems to maximize net recovery |
topic | Sloan School of Management. Electrical Engineering and Computer Science. Leaders for Global Operations Program. |
url | http://hdl.handle.net/1721.1/66044 |
work_keys_str_mv | AT vasiltimothyjtimothyjames forwardthinkinginreversedesignimplementationandcontinuousmonitoringofaclosedloopsupplychainusingoptimizationsimulationanddashboardsystemstomaximizenetrecovery |