The Research of Earned Value Management for Applications of Construction Project Cost Controlling

Autor: Tsung-ming Wu, 吳聰敏
Rok vydání: 2007
Druh dokumentu: 學位論文 ; thesis
Popis: 95
Earned Value management ( EVM ) is a kind of performance measurement system which integrates time and cost. It expresses the achieved of capable achievement by the satisfied work package which is accomplished. Therefore it is an instrument for integrating time, cost and behavior. In America, Australia, Canada, Sweden, England, and Japan, it was used maturely and regards as the best practice of project management. EVM provides three measurement values: planned value, actual value and actual cost of project. These measurement values can help project manager to realize the present condition and provide a conformable measurement value. It can make effective control during the project afoot. This study used EVM, five processes of project construction management, adduced and established cost controlling of project construction management. To make a assessment for benchmark of project’s results and estimate the art of accomplishable efficiency. By using case study to treat the feasibility and meaning of practicing EVM to control project construction management. Per the combination of EVM and statistical control graphs, we can erect achievements audit and evaluate the index’s upper and lower limit. By this way, we can control whole project, to realize the targets: Faster, Better, and Cheaper. Eventually, adopted case study to test above-mentioned, the results are as follow. First, make effective standards performance evaluation and execute efficiency predominate project construction management is successful or fail. Second, combined the index of time, cost, and performance, EVM is the best method. Third, EVM provided crystalline and correct information of project, can predict the effectiveness. Fourth, makes statistics control diagram of project performance for controlling the project, is good for promoting effectiveness of executing project.
Databáze: Networked Digital Library of Theses & Dissertations