Computation of overall equipment effectiveness towards growing the productivity performance in manufacturing industry

Ngadiman, Yunos and Hussin, Burairah and Abdul Hamid, Nor Aziati (2016) Computation of overall equipment effectiveness towards growing the productivity performance in manufacturing industry. In: World Conference on Engineering and Applied Science 2016, 28-29 May 2016, Hotel Bangi-Putrajaya, Bandar Baru Bangi, Selangor.

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Abstract

The Overall Equipment Effectiveness (OEE) approach is a well-accepted measure of machine performance towards growing productivity performance in the manufacturing industry. It's monitors the actual performance of a tool relative to the performance capabilities under optimal manufacturing. This study focuses on the measurement of OEE performance to optimize the performance of constraint tool in metal stamping industry. Purposive sampling is used to select a sample size of three units of stamping machines from the entire plant. Analysis for a period was carried out. Three independent variables include of Availability rate (A), Performance rate (P), and Quality rate (Q) was computed for ideal OEE result. Whilst, the measurement of productivity performance was used a qualitative method applied. Therefore, the analysis results have shown that the OEE metric has proven to be an effective tool to improve the productivity performance. And also, towards better on overall the improving the machine performance, enhance training programs for the resources are required and proper implement the Single Minutes Exchange of Dies (SMED) techniques.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Overall equipment effectiveness; availability rate (A); performance rate (P); and quality rate (Q); training program; single minutes exchange of dies
Subjects:T Technology > T Technology (General)
Divisions:Faculty of Technology Management and Business > Department of Production and Operation
ID Code:8399
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:09 May 2017 15:34
Last Modified:09 May 2017 15:34

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