Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions
The EVM method is an essential project management technique that compares the work done to the planned values (PVs) to identify project variances. However, the inherent uncertainties and possibilities in the project introduce uncertainty in the input data. Despite this importance, the input data for...
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MDPI AG
2025-06-01
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| Series: | Systems |
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| author | Lei Fan Shima Mohseni Nejad Morteza Bagherpour Mohammad Reza Feylizadeh Negar Karimi |
| author_facet | Lei Fan Shima Mohseni Nejad Morteza Bagherpour Mohammad Reza Feylizadeh Negar Karimi |
| author_sort | Lei Fan |
| collection | DOAJ |
| description | The EVM method is an essential project management technique that compares the work done to the planned values (PVs) to identify project variances. However, the inherent uncertainties and possibilities in the project introduce uncertainty in the input data. Despite this importance, the input data for this method is often considered deterministic in most research, and several researchers have modeled it under fuzzy information. In this research, we developed a novel approach using a combined model of fuzzy numbers and grey numbers called interval grey triangular fuzzy (IGTF) numbers. This model is designed to manage the project’s fuzzy grey value, addressing the two pillars of fuzzy and grey uncertainty. The findings of the study indicate that by combining the grey degree of confidence with the triangular fuzzy number (TFN), the results are closer to the real world and more lenient. Finally, based on the estimation of the actual final cost of the project, managers are encouraged to use certainty in lowering costs concerning the value obtained by using the Z-number for the phases of the project. This research provides practical insights and a new model for managing sustainable project uncertainties using fuzzy and grey theories, offering a potential solution to this challenge. |
| format | Article |
| id | doaj-art-2d51ea28bba74683b1d5535f99564e41 |
| institution | Kabale University |
| issn | 2079-8954 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj-art-2d51ea28bba74683b1d5535f99564e412025-08-20T03:27:36ZengMDPI AGSystems2079-89542025-06-0113648410.3390/systems13060484Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain ConditionsLei Fan0Shima Mohseni Nejad1Morteza Bagherpour2Mohammad Reza Feylizadeh3Negar Karimi4School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaDepartment of Industrial Engineering, Iran University of Science and Technology, Tehran 7188635835, IranDepartment of Industrial Engineering, Antalya Bilim University, Antalya 07190, TurkeySchool of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaDepartment of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan 7184877876, IranThe EVM method is an essential project management technique that compares the work done to the planned values (PVs) to identify project variances. However, the inherent uncertainties and possibilities in the project introduce uncertainty in the input data. Despite this importance, the input data for this method is often considered deterministic in most research, and several researchers have modeled it under fuzzy information. In this research, we developed a novel approach using a combined model of fuzzy numbers and grey numbers called interval grey triangular fuzzy (IGTF) numbers. This model is designed to manage the project’s fuzzy grey value, addressing the two pillars of fuzzy and grey uncertainty. The findings of the study indicate that by combining the grey degree of confidence with the triangular fuzzy number (TFN), the results are closer to the real world and more lenient. Finally, based on the estimation of the actual final cost of the project, managers are encouraged to use certainty in lowering costs concerning the value obtained by using the Z-number for the phases of the project. This research provides practical insights and a new model for managing sustainable project uncertainties using fuzzy and grey theories, offering a potential solution to this challenge.https://www.mdpi.com/2079-8954/13/6/484value managementuncertaintyfuzzy setsgrey theorycostschedule management |
| spellingShingle | Lei Fan Shima Mohseni Nejad Morteza Bagherpour Mohammad Reza Feylizadeh Negar Karimi Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions Systems value management uncertainty fuzzy sets grey theory cost schedule management |
| title | Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions |
| title_full | Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions |
| title_fullStr | Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions |
| title_full_unstemmed | Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions |
| title_short | Modeling Sustainable Earned Value Management (EVM) Under Grey Uncertain Conditions |
| title_sort | modeling sustainable earned value management evm under grey uncertain conditions |
| topic | value management uncertainty fuzzy sets grey theory cost schedule management |
| url | https://www.mdpi.com/2079-8954/13/6/484 |
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