Open AccessApplying Earned Value to Construction Projects
Author(s) -
Suaad Khaleel I. Al-Fadhli,
Shahlaa Hikmat Al-Bazaz
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/737/1/012041
Subject(s) - earned value management , schedule , work (physics) , work breakdown structure , project management , value engineering , process (computing) , control (management) , basis of estimate , track (disk drive) , project management triangle , project planning , engineering management , integrated project delivery , computer science , value (mathematics) , operations management , work schedule , process management , operations research , engineering , systems engineering , project charter , mechanical engineering , artificial intelligence , machine learning , operating system
Construction projects are increasingly expanding and being more complex over the time, which needs special requirements at every stage of the life cycle of projects. Each project has specific characteristics and requirements that distinguish from others. The responsibilities and tasks of the parties which, involved in the project (the employer, the designer and the contractor) at each stage vary according to the projects and the implementation methods. The follow up and control of costs during implementation is one of the duties of the engineering department to know the real costs resulting from the implementation of the work. Therefore, the process of controlling costs is a continuous and substantial process, and it indicates the efficiency and success of management. EVM “earned value management is one of the tools which is used to track the progress of work performance in projects. It can indicates the deviations and variances in cost and time schedule of the projects in this research EVM was applied on a project of an administrative building. The application, which was on a specific status date, showed that this method is applicable to track the progress of the project performance, and gave a logical results that used to understand the tendency of work performance, also to predict the future performance.