Implementing TPM approach in semiconductor company

Tan, Choon Leong (2014) Implementing TPM approach in semiconductor company. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

The semiconductor manufacturing industry is characterized by the deployment of highly sophisticated and automated machines in the production processes to maximize throughput. This leads to the challenge of maintenance to ensure maximum availability of production equipment. In today’s advanced manufacturing environment, maintenance can no longer be viewed as a function that operates in the background. The emergence of Total Productive Maintenance (TPM) concept elevates the importance of maintenance equal to that of production. TPM aims to increase the effectiveness of production environments, especially through methods to maximize the effectiveness of the equipment. Currently, the successful implementation of the TPM has been widely reported in many industries around the world. This project is conducted in a multinational semiconductor manufacturing company, with the objectives of, firstly, to understand the overall back-end process flow and to determine the low equipment availability in Electrical Test Processes. Secondly, the TPM approach is employed to improve equipment availability. TPM approach will be conduct by 8 pillars as the tools to improve the availability. Based on the analysis of previous data, implement the suitable pillars for improvement. Data collected from the shop floor, before and after the TPM implementation are analysed and the overall equipment effectiveness (OEE) as the key performance measure, will be compared. The last objective aims to highlight the improvements in equipment availability. As a result, the three objectives are achieved by implemented TPM approach, there are only Training and Education, Focus Improvement, Autonomous Maintenance, Preventive Maintenance, and Predictive Maintenance had implemented. The Availability of electrical testing line is significantly increased about 6% in four months from 86% of Availability.

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