The management of construction projects are becoming more challenging for civil engineers in the 21st century due to increasingly competitive performance expectations from the project stakeholders. However, among the financial and non-financial performance indicators, time and cost monitoring of construction projects are the critical issues for an effective project management. The traditional approach of project time and cost performance measurement is generally based on direct monitoring in which there is a split-up between them. Both of these parameters are measured and reported in isolation with each other by comparing their planned and actual values. Therefore, the traditional monitoring approach does not truly relate the time versus cost performance of the project. Furthermore, this approach is not so much efficient to provide early warning indicators and forecast future performance trends. As a remedy of these limitations in traditional monitoring practices, Earned Value Management (EVM) methodology integrates the work scope, cost and schedule to enable effective project performance measurement. EVM is based on three data sources and is able to compare the budgeted value of work scheduled (PV) with the Earned Value (EV) of physical work completed and the Actual Cost (AC) of work completed. Hence, performance data achieved by using EVM is an objective measure of actual work performed and can be used for the future performance analysis and forecasting. Due to these advantages, this study has proposed EVM method and extends its knowledge and applications for the Malaysian construction industry. The proposed study is based on a mixed methodology that incorporates both quantitative and qualitative methods and is designed into three phases. The first phase is based on a quantitative survey that aims to obtain a perception, understanding, barriers and enablers of EVM method for the local construction industry. The second and third phases will subsequently employ qualitative data collection and analysis of EVM applications through case studies and semi structured interviews. The questionnaire feedbacks were analyzed by using statistical tools such
as frequency analysis, cross-tabulation, average index analysis, spearman’s correlation and Kendall’s coefficient of concordance to establish findings. This survey reveals that although the EVM methodology is recognized by the practitioners of local construction industry, nevertheless it is not very much in use. As 80% of the respondents are not practicing EVM method in their working environment. The survey has identified the “lack of EVM knowledge, expertise and experience” as the most important barriers. The study has found that there is a good degree of agreement among the respondents regarding the potential enablers of EVM method. The analysis of descriptive case studies explores the applications of EVM in different project scenarios. The study has also determined from the perspective of construction experts that EVM methodology would facilitate the clients and contractors in terms of integrated cost, schedule, and technical performance measures. The overall findings of this study support the application of EVM as a standardized project control method for the Malaysian construction industry
