Performance Measurement of Residential Project by the Application of S-Curve in EVA Method

Abstract

The construction sector is currently highly competitive on a global scale, and the success of many businesses is largely on their ability and financial decisions. Due to a variety of variables, the majority of construction projects experience cost and time overruns. Earned Value Analysis (EVA) is important for predicting a project’s future outcome in terms of cost and/or time variables that may be predicted by analyzing project data in the prior stages of construction. In this research, the case study of the residential building is preferred to understand the difference in cost and time at various stages of the construction with the help of Earned value analysis and S-curve. S-curve is useful for graphically defined planned value (P.V.), earned value (E.V.), actual cost (A.C.), and estimate at completion (E.A.C.) and variances such as cost variance (C.V.), schedule variance (S.V.), and indices like cost performance index (C.P.I.) and schedule performance index (SPI).