Standardization and Reuse of FMEA Knowledge in Mass Production Environment: An Application Case of TFT-LCD Manufacturing

碩士 === 元智大學 === 工業工程與管理學系 === 99 === In the struggling world environment, enterprises are striving for surriving and remaining competitive advantage. In addition to the cost-effective use of existing resources, empower, online staffs the quick response capability of complete, exception handling...

Full description

Bibliographic Details
Main Authors: Shiang-Lan Li, 李香蘭
Other Authors: Chihmin Fan
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/28492940609512001347
Description
Summary:碩士 === 元智大學 === 工業工程與管理學系 === 99 === In the struggling world environment, enterprises are striving for surriving and remaining competitive advantage. In addition to the cost-effective use of existing resources, empower, online staffs the quick response capability of complete, exception handling is also an important issue, in which the effective knowledge acquisition, sharing and reuse within an enterprise is a critical factor. For example, in manufacturing industry, the sound knowledge of FMEA (Failure Mode and Effective Analysis) will enable online staffs to take the TFT-LCD Array manufacturing process as research platform, in which the issue involved in abnormal envet diagnosis process during mass production is regarded as the FMEA knowledge source. By taking advantage of the high-performance execution of 8D (8 Disciplines Problem Solving) process in industry practice, a methodology is proposed to integrate 8D, FMEA, and Control Plan so that all case-based exception handling experience can be accumulated in cost-effective way. Furthermore, standardized procedures are also proposed to guarantee the improvement quality. With the proposed methodology, both the knowledge of FMEA and Control Plan is shared and reused from a single product to other products with different sizes and even dissimilar plants. Real case study shows the proposed methodology indeed, prevent recurrence of abnormal events, improve product yield, reduce, customer complaints, and therefore enhance enterprise competitive advantage.