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A Decision Support System for Evaluating Success Factors of Projects in the Oil and Gas Industry.

Authors :
Sarfaraz, Amir Homayoun
Yazdi, Amir Karbassi
Hanne, Thomas
Hosseini, Raheleh Sadat
Moradi, Mohammad Reza
Source :
Mathematical Problems in Engineering. 11/4/2022, p1-18. 18p.
Publication Year :
2022

Abstract

Oil and gas (O&G) projects have a high social and economic impact in many countries. This study aims to identify the success factors in the O&G industry and to present a framework for evaluating the projects in an uncertain environment. In this study, 197 indicators are identified from a literature review and summarized to 34 indicators. Exploratory factor analysis (EFA) was performed, and seven main factors have been identified as success factors of O&G projects. Confirmatory factor analysis (CFA) confirmed the validity of the measurement model. A two-step fuzzy inference system is proposed to present an evaluation framework for assessing the performance of O&G projects. The hybrid framework was applied for the assessment of five Iranian O&G projects. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1024123X
Database :
Academic Search Index
Journal :
Mathematical Problems in Engineering
Publication Type :
Academic Journal
Accession number :
160042649
Full Text :
https://doi.org/10.1155/2022/6358562