以資料包絡分析法建構產業學習標竿－以台灣地區汽車零組件產業為例
Date Issued
2005
Date
2005
Author(s)
周永龍
DOI
zh-TW
Abstract
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.
Subjects
資料包絡分析
標竿學習
汽車零組件產業
Data Envelopment Analysis
Benchmark
Auto Industry
Type
thesis
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