Earticle

초록

영어

Currently, the scope of the traditional indicator system for performance evaluation of construction project is much broader. But the indicators are mostly involved only in quality, schedule, and environmental goals of the project. In other words, it only focuses on considering the level of performance that only a few large projects in progress goals, without taking into account of the impact on the overall performance level caused by the employees involved in the project and project management level of internal management of the project, which cannot meet the requirements for performance evaluation. Therefore, this article, from the view of the traditional project performance evaluation, through the introduction of financial indicators, indicators of internal, learning and development indicators, suggests a new comprehensive performance evaluation index system for construction projects. Based on the newly-built comprehensive performance evaluation index system of construction project, the collected project data by the author of this paper will be processed and analyzed. According to the characteristics of the index system and data rules, together with the introduction of a combination of indicators of empowerment evaluation method and TOPSIS method, the three construction project performance level is evaluated comprehensively in order to verify the rationality and practicality of the proposed construction project of comprehensive performance rating system. The results of this research show that the proposed project overall level of performance evaluation method is feasible, and it can be employed to do more comprehensive performance evaluation of the construction project, which provides new ideas and reference for the comprehensive evaluation of the level of performance of construction projects.

목차

Abstract
 1. Introduction
 2. Establishment of Indicator System and Collection of Indicators Data
  2.1. Establishing Indicator System
  2.2. Collecting Indicators Data
 3. Models and Methods
  3.1. Processing of Indicators Data
  3.2. Eigenvalue Method
  3.3. Entropy Weight Method
  3.4. Combination Weight Method
  3.5. TOPSIS
 4. Results
  4.1. Indicators Data Processing
  4.2 Determining the Indicators Weights
  4.3. The result of TOPSIS
 5. Conclusions
 References

키워드

저자

• Tao Li [ School of Economics and Management, North China Electric Power University, Beijing, People’s Republic of China ]
• Hao Liu [ School of Economics and Management, North China Electric Power University, Beijing, People’s Republic of China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605