| Summary: | 碩士 === 國立臺灣大學 === 國際企業學研究所 === 93 === Auto Parts Manufacturing Industry has the characteristics of technology-intensive and high specialized division. To maintain basic competitive ability, Auto firm needs well-designed operation procedure and precise cost control. Through the total operating performance analysis, we can tell the gap of various efficiencies between rivals and itself, to learn the core ability of the benchmark, find out internal weakness and potential improving space.
Finally, to get better situation in the competitive market.
This paper adapts multi-dimension efficiency evaluation method, Data Envelopment Analysis (DEA), to calculate each Auto firm’s Technical Efficiency (TE), Pure Technical Efficiency (PTE), Scale Efficiency (SE), and Slack. Using this information,we can suggest private firms how to improve and downsize reasonably. Fartherly, this paper uses step-by-step regression model to investigate key subjective input variables which greatly affect one to become the benchmark firm.
This paper uses the data of 36 auto parts manufacturers in Taiwan 2003, adapts Capital, Staff Numbers of R&D department, Staff Numbers of Non R&D department as the input variable, Operating Revenue as output variable, to run the DEA process.
The research results revealed that most Auto firms’performance is inefficient and has huge space to improve. The key subjective input variable which greatly affect one to become the benchmark firm are supply-chain management and customer-service related variable.
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