Application of Data Envelopment Analysis(DEA)– an Example of the Passive Components Industry

碩士 === 國立雲林科技大學 === 全球運籌管理研究所碩士班 === 100 === Passive components industry supports the developments of high-tech industries in Taiwan. However, while the market of passive components is saturated, how to adjust the cost structure for improving performance is a critical issue for the accociated manufa...

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Bibliographic Details
Main Authors: Chia-Chang Chen, 陳家彰
Other Authors: Cheng-han Wu
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/80754292133168381039
Description
Summary:碩士 === 國立雲林科技大學 === 全球運籌管理研究所碩士班 === 100 === Passive components industry supports the developments of high-tech industries in Taiwan. However, while the market of passive components is saturated, how to adjust the cost structure for improving performance is a critical issue for the accociated manufacturers. In this study, we investigate several domestic passive component manufacturers with different scales, and we adopt data envelopment analysis (DEA) to evaluate the operation efficiency and performance of these manufacturers. Then, we formulate the regressions between their inputs and outputs and subsequently stimulate the impacts of the changes of cost structures on their output performance. These results suggest insights for manufacturers in passive components industry when determining their decisions on adjusting cost structure and on improving performances. Specifically, several findings can be obtained: (1) The overall efficiency of large-sized manufacturers is not necessarily better than that of small-scale ones; (2) The scale efficiency of manufacturers with more resources and financial supports is much better than that of small-sized ones; (3) The operation efficiency and development potential of small-scale manufacturers can be enhanced significantly by increasing administrative expenses and fixed assets to achieve a certain production scale. However, it is not applicable to large-sized companies because resources may be wasted due to smaller efficiency.