Extended Earned Value Management Based on Fuzzy Multi-Criteria Decision Making

Hêriş Golpîra
Additional contact information
Hêriş Golpîra: Department of Industrial Engineering, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2015, vol. 6, issue 4, 16-32

Abstract: This paper proposes an extended earned value management (EEVM) as an integrated comprehensive project progress measurement technique. The method considers all of project key success factors, simultaneously. That is the method guaranties the realistic weights achievement to implement project control and scheduling. The weights are employed to publish a correct and comprehensive progress reports which can guarantee the future decisions for the project. It is noteworthy that the weighting approach is not just an earned value management (EVM), but it covers its concept. Since, the method is comprehensive and according to its ability to take any key success factors in to account, it can be used as a good alternative for the EVM approach, and can be called as an EEVM. The method combines the fuzzy group analytic hierarchy process (FGAHP) and fuzzy technique of order performance by similarity to ideal solution (FTOPSIS) to define activity weights according to some projects uncertain data. Taking to account the advantages of FGAHP for criteria weighting besides FTOPSIS for activity weighting provides a flexible method works with human habits and projects vagueness and uncertainty. Efficiency of the proposed method has been practically verified on a stadium in Kurdistan. The results illustrate superiority of the method in case of comprehensiveness and flexibility in comparison with the other methods.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 8/IJSSMET.2015100102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:6:y:2015:i:4:p:16-32

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().