Reverse logistics supply chain process modeling and simulation
Author(s)
Hughes, Nina(Nina Yuchen)
Download1119391352-MIT.pdf (6.957Mb)
Other Contributors
Sloan School of Management.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
Leaders for Global Operations Program.
Advisor
Stephen Graves and David Simchi-Levi.
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Show full item recordAbstract
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.
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 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).
Date issued
20192019
Department
Sloan School of Management; Massachusetts Institute of Technology. Department of Civil and Environmental Engineering; Leaders for Global Operations ProgramPublisher
Massachusetts Institute of Technology
Keywords
Sloan School of Management., Civil and Environmental Engineering., Leaders for Global Operations Program.