A Study of FTA and FMEA Technique Applications in Constructing an Autonomous Preventive-Maintenance System

• Main Authors: Ching-Hung Chiu, 邱景鴻
• Other Authors: Chee-Cheng Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/56702621915373188487

碩士 === 國立屏東科技大學 === 企業管理系所 === 96 === Total Productive Maintenance (TPM) has been developed and phased-in many manufacturing firms in Japan. This method has significantly promoted their productivity and competitiveness beginning in 1971. However, an autonomous preventive maintenance (APM) system is a very special, fundamental pillar of TPM. APM includes a series of important systematic direct labor activities in the first line. The techniques, cost, human resources, and management are important considerations. Failure Modes and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) are the most popular analytical failure analysis methods, widely adopted over different industries. They are often used to examine potential problems during the design and manufacturing phase, discovering possible failure cause before product design finalization and manufacturing. This study integrates the FTA and FMEA techniques to establish an APM system that meets a company’s goal of reducing manufacturing cost, promoting employee competence and equipment productivity. The major contribution of this study is the construction of an equipment potential failure mode and Risk Priority Number (RPN) method through integrating FTA and FMEA. The proposed method will be transformed into a selection of items and their APM maintenance frequencies to deploy employee’s technical capabilities through effective training. This study uses S company – a key Semiconductor material manufacturer as a case study to prove the proposed model’s applicability and suitability.