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Stephen Graves and David Simchi-Levi. Hughes, Nina(Nina Yuchen) Sloan School of Management. Massachusetts Institute of Technology. Department of Civil and Environmental Engineering. Leaders for Global Operations Program. Sloan School of Management Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Leaders for Global Operations Program 2019-10-11T22:24:32Z 2019-10-11T22:24:32Z 2019 2019 2019 https://hdl.handle.net/1721.1/122581 1119391352 Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT 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 Cataloged from PDF version of thesis. Includes bibliographical references (page 67). As consumer preferences shift towards online shopping and utilizing their homes as fitting rooms, traditional brick and mortar retailers are faced with the challenge to adapt. Many retailers are experiencing a growing number of returned merchandize, many of which cannot be easily resold to consumers due to various supply chain challenges. This thesis explores the opportunities to improve the consumer returns process and presents methods for modeling the supply chain process for reverse logistics in the retail industry derived from case studies. The model then allows for hypothesis testing. By changing parameters in the model, this thesis further explores the scenarios in which the supply chain process may be improved to increase margin and decrease cost. The primary recommendations include specific modifications to the current reverse supply chain flow, enabling new channels that improve speed and margin, as well as developing the decision tool further for better accuracy and integration into the supply chain. by Nina Hughes. M.B.A. S.M. M.B.A. Massachusetts Institute of Technology, Sloan School of Management S.M. Massachusetts Institute of Technology, Department of Civil and Environmental Engineering 67 pages eng Massachusetts Institute of Technology 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. http://dspace.mit.edu/handle/1721.1/7582 Sloan School of Management. Civil and Environmental Engineering. Leaders for Global Operations Program. Reverse logistics supply chain process modeling and simulation Thesis application/pdf 2019-10-11T22:24:32Z Publication Master Sloan CivEng unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="9635ded3-dcbb-478e-860f-386547a89204"> <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>Reverse logistics supply chain process modeling and simulation</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2019</PublicationDate> <PublicationDate>2019</PublicationDate> <Authors> <Author> <DisplayName>Hughes, Nina(Nina Yuchen)</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>Civil and Environmental Engineering.</Keyword> <Keyword>Leaders for Global Operations Program.</Keyword> <Abstract>As consumer preferences shift towards online shopping and utilizing their homes as fitting rooms, traditional brick and mortar retailers are faced with the challenge to adapt. Many retailers are experiencing a growing number of returned merchandize, many of which cannot be easily resold to consumers due to various supply chain challenges. This thesis explores the opportunities to improve the consumer returns process and presents methods for modeling the supply chain process for reverse logistics in the retail industry derived from case studies. The model then allows for hypothesis testing. By changing parameters in the model, this thesis further explores the scenarios in which the supply chain process may be improved to increase margin and decrease cost. The primary recommendations include specific modifications to the current reverse supply chain flow, enabling new channels that improve speed and margin, as well as developing the decision tool further for better accuracy and integration into the supply chain.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>