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Developing Overall Equipment Effectiveness Metrics for Prototype Precision Manufacturing

Michael, O'Neill (2011) Developing Overall Equipment Effectiveness Metrics for Prototype Precision Manufacturing. Master of Engineering thesis, Dublin City University.

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Abstract

Overall Equipment Effectiveness (OEE) is a powerful metric of manufacturing performance incorporating measures of the utilisation, yield and efficiency of a given process, machine or manufacturing line. When associated with the reasons for performance loss, OEE provides the means to compare and prioritise improvement efforts. This research assesses the current systems used in the high-volume production lines of Company-X, a precision manufacturer of computer components. This assessment led to the design of a singular methodology that functions in a high-volume production environment, in the rapid prototyping production, and the program qualification production divisions of Company-X. The methodology defined indicators (Utilisation, Efficiency and Yield), and factors that must be recorded on an individual piece of equipment within a manufacturing line to determine its OEE. These equipment-level records were captured utilising the equipment’s computer-controller, supplemented by minimal user input, to minimise the non-value added activities associated with data-entry. The methodology also determined the means to aggregate the records to prioritize improvement activities (Weighted OEE Pareto) and calculate the manufacturing lines overall performance (Overall Line Effectiveness).

Item Type:Thesis (Master of Engineering)
Date of Award:05 February 2011
Refereed:No
Supervisor(s):Paul, Young
Uncontrolled Keywords:Operational Equipment Effectiveness; Prototyping & Production Automated Data Collection Manufacturing Systems
Subjects:Engineering > Mechanical engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:16119
Deposited On:06 Apr 2011 17:06 by Paul Young. Last Modified 06 Apr 2011 17:06

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