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Abbott Weiss and Charles H. Fine. Vasil, Timothy J. (Timothy James) 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 2011-09-27T18:36:11Z 2011-09-27T18:36:11Z 2011 2011 http://hdl.handle.net/1721.1/66044 752301991 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. 199 p. 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. Electrical Engineering and Computer Science. Leaders for Global Operations Program. 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 application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="b269cb3f-a316-46a6-bbca-d72c171631b0"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <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> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2011</PublicationDate> <Authors> <Author> <DisplayName>Vasil, Timothy J. (Timothy James)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Sloan School of Management.</Keyword> <Keyword>Electrical Engineering and Computer Science.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <Abstract>Developed during our recent six-month engagement at Dell-a leading computer manufacturer and services provider with one of the world&apos;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.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>