2026-09-19T10:13:31Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1179662022-01-27T21:25:17Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Roy Welsch and David Hardt.
Mufarech Rey, Álvaro
Leaders for Global Operations Program.
Leaders for Global Operations Program at MIT
Massachusetts Institute of Technology. Department of Mechanical Engineering
Sloan School of Management
2018-09-17T15:51:52Z
2018-09-17T15:51:52Z
2018
2018
http://hdl.handle.net/1721.1/117966
1051237823
Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-63).
Beckman Coulter, one of Danaher's operating companies, provides diagnostic equipment and consumables to the health industry. A variety of plastic manufacturing methods are used to make instrument parts and consumables worldwide via third-party manufacturers who operate assets owned by the original brand. Worldwide, more than 200 of these manufacturers operate more than 2000 tools owned by Beckman Coulter. The lack of a centralized visibility of the real-time condition of these tools promotes a faulty maintenance plan that causes unexpected failures, reduces its productivity, and stimulates a "fire-fighting" environment within the engineering team. The motivation for this research is to contribute to protect the company's revenue stream by improving the efficiency of the manufacturing assets, which will ultimately improve the on-time deliveries and reduce procurement and operational costs. The thesis proposes that those objectives can be achieved through an efficient and effective system to track the current condition of manufacturing assets (primarily tooling) designed for the complex network of part manufacturers. The system provides reliable and dynamic information about the progress of the tools' life-cycle, record maintenance and failure events, monitors the OEE, and collects relevant data to enable a predictive model for future failures. The research starts investigating root causes for low effectiveness, through the analysis of the current state, and evaluates alternatives to track assets' condition and life-cycle across the complex and large supplier network. The selected alternative is to use the parts receipts, currently available through the company's ERP, as a proxy for the tools' shot-count. This indicator is used as the cornerstone for the Manufacturing Assets Management System, which acts as a single-reference point database and interface to visualize the assets' life-cycle, interdependencies with other elements in the network, condition, and effectiveness. It is also a depository for maintenance and failure data which could enable predictive maintenance. It is designed to scale up and to be useful for any internal and external manufacturing assets. Lastly, the thesis analyzes the ideal conditions and characteristics that the system would require to achieve Industry 4.0 standards, exploring and proposing the most effective technologies that are viable to be implemented in a large, commoditized, supplier-based, manufacturing network, to enable more advanced predictive analytics designed to improve OEE.
by Álvaro Mufarech Rey.
M.B.A.
S.M.
68 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.
Mechanical Engineering.
Leaders for Global Operations Program.
Improving the management of manufacturing assets across large-scale networks of suppliers in the plastic industry
Thesis
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<Abstract>Beckman Coulter, one of Danaher's operating companies, provides diagnostic equipment and consumables to the health industry. A variety of plastic manufacturing methods are used to make instrument parts and consumables worldwide via third-party manufacturers who operate assets owned by the original brand. Worldwide, more than 200 of these manufacturers operate more than 2000 tools owned by Beckman Coulter. The lack of a centralized visibility of the real-time condition of these tools promotes a faulty maintenance plan that causes unexpected failures, reduces its productivity, and stimulates a "fire-fighting" environment within the engineering team. The motivation for this research is to contribute to protect the company's revenue stream by improving the efficiency of the manufacturing assets, which will ultimately improve the on-time deliveries and reduce procurement and operational costs. The thesis proposes that those objectives can be achieved through an efficient and effective system to track the current condition of manufacturing assets (primarily tooling) designed for the complex network of part manufacturers. The system provides reliable and dynamic information about the progress of the tools' life-cycle, record maintenance and failure events, monitors the OEE, and collects relevant data to enable a predictive model for future failures. The research starts investigating root causes for low effectiveness, through the analysis of the current state, and evaluates alternatives to track assets' condition and life-cycle across the complex and large supplier network. The selected alternative is to use the parts receipts, currently available through the company's ERP, as a proxy for the tools' shot-count. This indicator is used as the cornerstone for the Manufacturing Assets Management System, which acts as a single-reference point database and interface to visualize the assets' life-cycle, interdependencies with other elements in the network, condition, and effectiveness. It is also a depository for maintenance and failure data which could enable predictive maintenance. It is designed to scale up and to be useful for any internal and external manufacturing assets. Lastly, the thesis analyzes the ideal conditions and characteristics that the system would require to achieve Industry 4.0 standards, exploring and proposing the most effective technologies that are viable to be implemented in a large, commoditized, supplier-based, manufacturing network, to enable more advanced predictive analytics designed to improve OEE.</Abstract>
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