2026-09-18T18:57:33Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1269152021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Stephen Graves and David Simchi-Levi.
Phillips, Hannah(Hannah Michelle)
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
2020-09-03T15:53:52Z
2020-09-03T15:53:52Z
2020
2020
https://hdl.handle.net/1721.1/126915
1191624067
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020
Thesis: S.M., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, in conjunction with the Leaders for Global Operations Program at MIT, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 78-79).
Verizon may rely on third-party logistics providers (3PLs) to manage some aspects of the reverse supply chain of Fios equipment. As a result, it depends on the 3PL to continually strive for increased quality, reliability, capacity, and speed. Above all, in order to have a successful partnership, the process must be economical for the 3PL. As several sources of variation are detrimental to the 3PL's margins and cause operational problems, Verizon is investing in the supplier relationship to ensure that the 3PL is profitable and positioned for the future. Making sure there is a "win-win" relationship is beneficial for both parties and helps to ensure that the investments that have been made will continue to result in success, including operational improvements. To do this, a culture of continuous improvement and data-driven decisions needs to be cultivated and developed at the 3PL. The goal of this project is two-fold. First, there is a need to understand the variation that exists in the 3PL's process as well as the associated costs, which include overtime, ineffective labor and production planning, and high turnover. The secondary goal of the project is to empower the 3PL to make data-driven decisions in the future and start to shift their culture to one that aligns better with Verizon's. By showing the benefits of collaboration between the two companies, this project will help build trust. In this thesis, we discuss how process mining is used to understand the 3PL's current state and guide data-driven continuous improvement. We introduce several opportunities for handling variation, including creating visibility into return volumes, reducing defects caused by incorrect packaging, and creating feedback mechanisms for operators. This is done in close collaboration with the 3PL to ensure they will ultimately have ownership of implementation.
by Hannah Phillips .
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
79 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Sloan School of Management.
Civil and Environmental Engineering.
Leaders for Global Operations Program.
A data-driven approach to continuous improvement in reverse logistics
Thesis
application/pdf
2020-09-03T15:53:52Z
Publication
Master
Sloan
CivEng
unknown
unknown
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<Abstract>Verizon may rely on third-party logistics providers (3PLs) to manage some aspects of the reverse supply chain of Fios equipment. As a result, it depends on the 3PL to continually strive for increased quality, reliability, capacity, and speed. Above all, in order to have a successful partnership, the process must be economical for the 3PL. As several sources of variation are detrimental to the 3PL's margins and cause operational problems, Verizon is investing in the supplier relationship to ensure that the 3PL is profitable and positioned for the future. Making sure there is a "win-win" relationship is beneficial for both parties and helps to ensure that the investments that have been made will continue to result in success, including operational improvements. To do this, a culture of continuous improvement and data-driven decisions needs to be cultivated and developed at the 3PL. The goal of this project is two-fold. First, there is a need to understand the variation that exists in the 3PL's process as well as the associated costs, which include overtime, ineffective labor and production planning, and high turnover. The secondary goal of the project is to empower the 3PL to make data-driven decisions in the future and start to shift their culture to one that aligns better with Verizon's. By showing the benefits of collaboration between the two companies, this project will help build trust. In this thesis, we discuss how process mining is used to understand the 3PL's current state and guide data-driven continuous improvement. We introduce several opportunities for handling variation, including creating visibility into return volumes, reducing defects caused by incorrect packaging, and creating feedback mechanisms for operators. This is done in close collaboration with the 3PL to ensure they will ultimately have ownership of implementation.</Abstract>
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