A Decision Support System for Evaluating Success Factors of Projects in the Oil and Gas Industry-Reference-Cited by-同舟云学术

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

Published:2022-11-04 Issue: Volume:2022 Page:1-18
ISSN:1563-5147
Container-title:Mathematical Problems in Engineering
language:en
Short-container-title:Mathematical Problems in Engineering

Author:

Sarfaraz Amir Homayoun¹,Yazdi Amir Karbassi²^ORCID,Hanne Thomas³^ORCID,Hosseini Raheleh Sadat⁴,Moradi Mohammad Reza¹

Affiliation:

1. Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

2. School of Engineering, Universidad Católica del Norte, Larrondo 1281, 1781421 Coquimbo, Chile

3. Institute for Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland

4. North Tehran Branch, Islamic Azad University, Tehran, Iran

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.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Link

http://downloads.hindawi.com/journals/mpe/2022/6358562.pdf

Reference66 articles.

1. The impact of the global energy transition on MENA oil and gas producers

2. Preparing for the new oil order? Saudi Arabia and Russia

3. A knowledge-based expert system to assess power plant project cost overrun risks

4. Causes of delay in Iranian oil and gas projects: a root cause analysis

5. An integrated grey-based multi-criteria decision-making approach for supplier evaluation and selection in the oil and gas industry

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