THE IMPACTS OF PRODUCTION MANAGEMENT PRACTICES ON MANUFACTURING PERFORMANCE

• Main Authors: Yi-chen Kuo, 郭怡甄
• Other Authors: Kun-Huang Yeh
• Format: Others
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/15472559831088106561

碩士 === 大同大學 === 事業經營學系(所) === 100 === There are many concepts and practices of production management in last two decades, including JIT practices, lean production, total prevent management, total quality management, supply chain management …etc. Each practice has its concept and advantage. Environment became different, so each firm faces more competitively situation, and product life cycle became shorter commonly due to favor and demand of customer. In Taiwan, manufacture firms face the environment as above, how to decide their production practice? How can they know which practice will influent manufacture performance significantly? Despite of many researches about individual practices are found, seldom did it in integrated way. According to integrate six production management practices, this study explored the practices which have significant and positive impact on manufacture performance. Compare with the studies before, this study provide a integrated and comprehensive study by empirical data. In sum up, it gives specific advices which can be commonly used by manufacturers in Taiwan. This study adopted convenience sampling as sampling method, mailed 1500 samples with questionnaire, and samples were elected from Taiwan Electrical and Electronic Manufacturers’ Association. Collected 204 after deleting samples which are invalid. First, the empirical data were conducted with exploratory factor analysis to extract four production management practices, and then named them as following: top management commitment and Kaizen practice, field maintenance and process control practices, modular production and process integration practices, and supply chain management practices. Second, SEM (Structural Equation Model) analysis were conducted, the results show that all four practices have positively and significant impact on manufacture performance.