| Summary: | 碩士 === 義守大學 === 管理研究所碩士班 === 97 === Manufacturing industry has contributed great in economic development of Taiwan. Profitability in the manufacturing industry becomes lower due to globalization and limited natural resources. How to effectively manage resources has become an important topic. Productivity is an important indicator to evaluate business performance. It shows the output a company can gain from one unit of input. How to improve its efficiency is also a very important task for all corporations.
Transportation vehicle industry is highly related with other industries. It consumes raw materials, parts and services from almost all other industries. The parts of transportation vehicle industry related highly to other industries such as steel, electronic, hardware, petrochemical, rudder, wood, glass, plastic, paint and other metal industries. Transportation vehicle industry can be significant driving force to all other industries.
Twin-wheels vehicle industry (including bicycle industry and motorcycle industry) contributed a very important role in transportation vehicle industry and its part keep increase as the nature resources diminishing. Whether Export oriented twin-wheels vehicle industry has the capability to face globalization and diminishing nature resources has become a nameable topic in our country.
The objective of this study is using Data Envelopment Analysis (DEA) to evaluate productivity of the twin-wheels vehicle industry. The results show that Pihsiang Machinery Mfg. Co. excelled in CCR efficiency, BCC efficiency, scale efficiency, and assurance region analysis. Merida Industry Co. standed out in Anderson and Peterson (A&P) model analysis. In the sensitivity analysis, the number of efficient DMU decreased by 3 when the variable of total assets and shareholders equity is eliminated. In the assurance region analysis, results show that as the weight range increased, the entire average efficiency values also increase. In the Malmquist index analysis, Merida Industry Co expanded highly and changes quickly. This study also provides some directions to improving efficiency for those inefficient companies.
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