Reverse logistics supply chain process modeling and simulation

Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT

Bibliographic Details
Main Author: Hughes, Nina(Nina Yuchen)
Other Authors: Stephen Graves and David Simchi-Levi.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2019
Subjects:
Online Access:https://hdl.handle.net/1721.1/122581
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author Hughes, Nina(Nina Yuchen)
author2 Stephen Graves and David Simchi-Levi.
author_facet Stephen Graves and David Simchi-Levi.
Hughes, Nina(Nina Yuchen)
author_sort Hughes, Nina(Nina Yuchen)
collection MIT
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
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spelling mit-1721.1/1225812019-10-14T03:03:06Z Reverse logistics supply chain process modeling and simulation Hughes, Nina(Nina Yuchen) Stephen Graves and David Simchi-Levi. 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 Sloan School of Management. Civil and Environmental Engineering. Leaders for Global Operations Program. 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 2019-10-11T22:24:32Z 2019-10-11T22:24:32Z 2019 2019 2019 Thesis https://hdl.handle.net/1721.1/122581 1119391352 eng 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 67 pages application/pdf Massachusetts Institute of Technology
spellingShingle Sloan School of Management.
Civil and Environmental Engineering.
Leaders for Global Operations Program.
Hughes, Nina(Nina Yuchen)
Reverse logistics supply chain process modeling and simulation
title Reverse logistics supply chain process modeling and simulation
title_full Reverse logistics supply chain process modeling and simulation
title_fullStr Reverse logistics supply chain process modeling and simulation
title_full_unstemmed Reverse logistics supply chain process modeling and simulation
title_short Reverse logistics supply chain process modeling and simulation
title_sort reverse logistics supply chain process modeling and simulation
topic Sloan School of Management.
Civil and Environmental Engineering.
Leaders for Global Operations Program.
url https://hdl.handle.net/1721.1/122581
work_keys_str_mv AT hughesninaninayuchen reverselogisticssupplychainprocessmodelingandsimulation