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- W2891658922 abstract "Beckman Coulter, one of Danaher's operatingcompanies, provides diagnostic equipment and consumables to thehealth industry. A variety of plastic manufacturing methods areused to make instrument parts and consumables worldwide viathird-party manufacturers who operate assets owned by the originalbrand. Worldwide, more than 200 of these manufacturers operate morethan 2000 tools owned by Beckman Coulter. The lack of a centralizedvisibility of the real-time condition of these tools promotes afaulty maintenance plan that causes unexpected failures, reducesits productivity, and stimulates a fire-fighting environmentwithin the engineering team. The motivation for this research is tocontribute to protect the company's revenue stream by improving theefficiency of the manufacturing assets, which will ultimatelyimprove the on-time deliveries and reduce procurement andoperational costs. The thesis proposes that those objectives can beachieved through an efficient and effective system to track thecurrent condition of manufacturing assets (primarily tooling)designed for the complex network of part manufacturers. The systemprovides reliable and dynamic information about the progress of thetools' life-cycle, record maintenance and failure events, monitorsthe OEE, and collects relevant data to enable a predictive modelfor future failures. The research starts investigating root causesfor low effectiveness, through the analysis of the current state,and evaluates alternatives to track assets' condition andlife-cycle across the complex and large supplier network. Theselected alternative is to use the parts receipts, currentlyavailable through the company's ERP, as a proxy for the tools'shot-count. This indicator is used as the cornerstone for theManufacturing Assets Management System, which acts as asingle-reference point database and interface to visualize theassets' life-cycle, interdependencies with other elements in thenetwork, condition, and effectiveness. It is also a depository formaintenance and failure data which could enable predictivemaintenance. It is designed to scale up and to be useful for anyinternal and external manufacturing assets. Lastly, the thesisanalyzes the ideal conditions and characteristics that the systemwould require to achieve Industry 4.0 standards, exploring andproposing the most effective technologies that are viable to beimplemented in a large, commoditized, supplier-based, manufacturingnetwork, to enable more advanced predictive analytics designed toimprove OEE." @default.
- W2891658922 created "2018-09-27" @default.
- W2891658922 creator A5072766907 @default.
- W2891658922 date "2018-01-01" @default.
- W2891658922 modified "2023-09-23" @default.
- W2891658922 title "Improving the management of manufacturing assets across large-scale networks of suppliers in the plastic industry" @default.
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