A Study on the Productivity of Military Factories
碩士 === 國防大學管理學院 === 運籌管理學系 === 97 === The purpose of this study is to assess the performance of 6 military factories in terms of operating efficiency, managerial efficiency, and operating effectiveness and to analyze productivity growth of these factories over the years of 2004-2007. The Assurance...
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ndltd-TW-097NDMC17150232015-10-13T14:53:16Z http://ndltd.ncl.edu.tw/handle/44169738924639608073 A Study on the Productivity of Military Factories 軍工廠生產力評估之研究 CHIEN-HUNG SU 蘇建鴻 碩士 國防大學管理學院 運籌管理學系 97 The purpose of this study is to assess the performance of 6 military factories in terms of operating efficiency, managerial efficiency, and operating effectiveness and to analyze productivity growth of these factories over the years of 2004-2007. The Assurance Region model taking account of important weights of inputs and outputs are used for assess the performance; window analysis is used for increasing the number of decision making units; Cross-Efficiency measure is used for identifying the best practice of the military factory; Malmquist Index approach is applied to analyze productivity growth of the factories; finally, regression analysis was used to explore the effect of internal environment variables on the impact of factory productivity. Research questions:(1)How well do military factories perform in terms of operating efficiency, managerial efficiency, and operational effectiveness?(2)What returns to scale of military factories have experienced? (3) What is the best practice identified in terms of these three performances of the military factories?(4)What is the relationship among these three performances?(5)What is the productivity growth of the military factories?(6)What is the effect of internal environment variables (employee productivity, R & D productivity, the rate of administrative costs) on the productivity of the military factories?(7)What are the responses from the managers of production department of the military factories on the use of DEA as a performance measurement tool? The results of this study show:(1)mean operational effectiveness is 0.707 and; mean operating efficiency is 0.873; and mean managerial efficiency is 0.745;(2)66.67% of the military factories were experienced decreasing returns to scale and 33.33% of military factories were experienced increasing returns to scale;(3)Factory F is the best practice of operational effectiveness; Factory D is the best practice of operating efficiency; Factory E is the best practice of managerial efficiency;(4)A factory with a high level of operational effectiveness will also have high level of operating efficiency and managerial efficiency;(5)In general, total factor productivity of the military factories is regress;(6)The internal environment variables have no impacts on the factory productivity; and (7)majority of the managers consider DEA as an objective performance measurement tool and is useful for assessing the factory performance. SHINN SUN 孫遜 2009 學位論文 ; thesis 54 zh-TW |
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碩士 === 國防大學管理學院 === 運籌管理學系 === 97 === The purpose of this study is to assess the performance of 6 military factories in terms of operating efficiency, managerial efficiency, and operating effectiveness and to analyze productivity growth of these factories over the years of 2004-2007. The Assurance Region model taking account of important weights of inputs and outputs are used for assess the performance; window analysis is used for increasing the number of decision making units; Cross-Efficiency measure is used for identifying the best practice of the military factory; Malmquist Index approach is applied to analyze productivity growth of the factories; finally, regression analysis was used to explore the effect of internal environment variables on the impact of factory productivity.
Research questions:(1)How well do military factories perform in terms of operating efficiency, managerial efficiency, and operational effectiveness?(2)What returns to scale of military factories have experienced? (3) What is the best practice identified in terms of these three performances of the military factories?(4)What is the relationship among these three performances?(5)What is the productivity growth of the military factories?(6)What is the effect of internal environment variables (employee productivity, R & D productivity, the rate of administrative costs) on the productivity of the military factories?(7)What are the responses from the managers of production department of the military factories on the use of DEA as a performance measurement tool?
The results of this study show:(1)mean operational effectiveness is 0.707 and; mean operating efficiency is 0.873; and mean managerial efficiency is 0.745;(2)66.67% of the military factories were experienced decreasing returns to scale and 33.33% of military factories were experienced increasing returns to scale;(3)Factory F is the best practice of operational effectiveness; Factory D is the best practice of operating efficiency; Factory E is the best practice of managerial efficiency;(4)A factory with a high level of operational effectiveness will also have high level of operating efficiency and managerial efficiency;(5)In general, total factor productivity of the military factories is regress;(6)The internal environment variables have no impacts on the factory productivity; and (7)majority of the managers consider DEA as an objective performance measurement tool and is useful for assessing the factory performance.
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author2 |
SHINN SUN |
author_facet |
SHINN SUN CHIEN-HUNG SU 蘇建鴻 |
author |
CHIEN-HUNG SU 蘇建鴻 |
spellingShingle |
CHIEN-HUNG SU 蘇建鴻 A Study on the Productivity of Military Factories |
author_sort |
CHIEN-HUNG SU |
title |
A Study on the Productivity of Military Factories |
title_short |
A Study on the Productivity of Military Factories |
title_full |
A Study on the Productivity of Military Factories |
title_fullStr |
A Study on the Productivity of Military Factories |
title_full_unstemmed |
A Study on the Productivity of Military Factories |
title_sort |
study on the productivity of military factories |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/44169738924639608073 |
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