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Systematic Literature Review of Implementing the Project Control System Using Earned Value Management (EVM)

Author

Listed:
  • Samira Nadafi

    (Assistant professor, Department of Industrial Engineering, Engineering College, Shahid Bahonar University of Kerman, Kerman, Iran)

  • Seyed Hamed Moosavirad

    (Assistant professor, Department of Industrial Engineering, Engineering College, Shahid Bahonar University of Kerman, Kerman, Iran)

  • Shahram Ariafar

    (Assistant professor, Department of Industrial Engineering, Engineering College, Shahid Bahonar University of Kerman, Kerman, Iran)

Abstract

Project control is considered as one of the major and key issues in organizations. The project is assessed from three dimensions including time, cost, and scope. Therefore, the purpose of this study is to review the methods and criteria that have been used in the project control literature. This study is a systematic review of 40 papers that have been published in two time periods between 2006 and 2017 or from 1387 to 1392 according to the electronic databases. It was found that 20 of these articles that form 50% of the total articles have not used the Earned Value Management method for project control. Therefore, there are still other methods that can be applied for implementing in the project control system. The results revealed that Earned Value Management is one of the popular methods for implementing the project control system by controlling the project time and costs. Ultimately, the case study papers and their aims have been analyzed in this study.

Suggested Citation

  • Samira Nadafi & Seyed Hamed Moosavirad & Shahram Ariafar, 2017. "Systematic Literature Review of Implementing the Project Control System Using Earned Value Management (EVM)," European Journal of Studies in Management and Business, EUROKD, vol. 1, pages 34-46.
  • Handle: RePEc:bco:mbrqaa::v:1:y:2017:p:34-46
    DOI: 10.32038/mbrq.2017.01.03
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    References listed on IDEAS

    as
    1. Vanhoucke, Mario & Colin, Jeroen, 2016. "On the use of multivariate regression methods for longest path calculations from earned value management observations," Omega, Elsevier, vol. 61(C), pages 127-140.
    2. Colin, Jeroen & Vanhoucke, Mario, 2014. "Setting tolerance limits for statistical project control using earned value management," Omega, Elsevier, vol. 49(C), pages 107-122.
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