A Study on The Goal Setting for Efficient Productivity of Labor- An Application of the Data Envelopment Analysis

碩士 === 國立中央大學 === 工業管理研究所碩士在職專班 === 100 === The purpose of this thesis is to explore that the evaluation of efficiency value of labor productivity through perspectives of multi-input and multi-output. In addition, in order to acquire the optimal efficiency of labor productivity to meet actual produc...

Full description

Bibliographic Details
Main Authors: Che-Hsien Lai, 賴哲賢
Other Authors: C.-T. Wang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/26982287425771469673
Description
Summary:碩士 === 國立中央大學 === 工業管理研究所碩士在職專班 === 100 === The purpose of this thesis is to explore that the evaluation of efficiency value of labor productivity through perspectives of multi-input and multi-output. In addition, in order to acquire the optimal efficiency of labor productivity to meet actual production aspect so that the methodology of a single input and output is eliminated. Utilizing the methodology of Data Envelopment Analysis (DEA) and the production information of case study including input and output and could obtain the analysis of characteristics of the multi-input and multi-output. Literally, the CCR model (Constant return to scale) and BCC model (Variable Return to Scale) in DEA have been applied to gain a number of indicators of efficiency such as Technical Efficiency, Pure Technical Efficiency, Scale Efficiency and Allocative Efficiency. As a result, the 18 units of DMU (Decision making unit) of results through the CCR model and BCC model reveal that the 10 units of DMU are more efficient than others. Besides, L unit, N unit and P unit are the relative efficiency under minimum cost of production. Additionally, the DMU of L is not only the most efficiency and robustness in but also the best DMU in the 18 units. Therefore, L DMU, N DMU and P DMU are the most appropriate units for goal setting in this thesis in terms of Cost Efficiency. To conclude, the results of this study may support the manufacturing unit to set up the Key Performance Indicator of labor productivity and the target of labor productivity of manufacturing unit explicitly.