Summary: | 碩士 === 長榮大學 === 高階管理碩士在職專班 === 97 === In this study, using data envelopment analysis to assess the Operating performance of the spinning factory management. Using the information on statements of domestic well-known textile companies listed their four spinning plants (A, B, C, D) in January to December period in 2007 to explore efficiency of their management performance. And to analysis efficiency by using Analysis of the difference variables and Michael's efficiency index as a reference to improve performance.
The study used CCR / BCC model of DEA from the perspective of control resources of the input of the plant managers(input-oriented perspective). Using the total technical efficiency of DMU calculated by CCR model and a pure technical efficiency and scale efficiency calculated by BCC model to compare the difference in relative efficiency of the four DMUs (horizontal dimension) in the 96-year period.
Average total technical efficiency obtained from the results of the analysis: A plant 100%, B plant 98.3%, C plant 99.9%, D plant 100%. Average pure technical efficiency obtained from the results of the analysis: A plant 100%, B plant 99.7%, C plant 100%, D plant 100%. The average scale efficiency obtained from the results of the analysis, A plant 100%, B plant 98.4%, C plant 99.9%, D plant 100%. Unter constant or change returns to scale, A and D plant were very good performance, followed by c plant, and the overall efficiency of B plant were relatively the lowest. Month of the least efficient(B1) were in the case of decreasing returns to scale, and analysis of the factor was the inefficiency factor, therefore it can be appropriate adjusted by analysis of the difference variables. In the mode of a fixed remuneration, B factory in January at the same time can reduce the actual hours worked 1792.63 hours (4.91%), personnel costs 68 million (9.73%), electricity costs 21 million (5.88%), repair costs 15.5 million (37.86%), the cost of the material 10.6 million (5.71%), with volume of 24.03 pounds of cotton (4.91%)of the input,and at the same time also increased the production number of 191.01 (5.51%)of the output, so that the month can be relatively efficientplant (as opposed to the optimal target). Finally, Malmquist Index trend analysis of changes in total productivity in order to understand the inter-period efficiency changes (vertical dimension) of the spinning-owned factories in the month period of 2007. WE can see that inter-period total production change trend of the A, B, D plants during the year Showed the status of progress, and the total production change trend of the C plant showed the state of recession. The reason for its decline was that the total production equipment technology has stagnated , unlike the other three plants (A, B, D) in the total production equipment technology and progress has been trying to break through.
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