Designing a conceptual model for identifying and prioritizing factors affecting the success of offshore gas projects: a hybrid approach of multi-criteria decision making and foundational data theory
Subject Areas :Morteza Noshadpour 1 , Morteza Bazrafshan 2 , Mohadeseh Ahmadipour 3
1 - Department of industrial engineering, Branch of Lahijan, Islamic Azad University, Lahijan, Iran
2 - Department of industrial engineering, Branch of Lahijan, Islamic Azad University, Lahijan, Iran
3 - Department of industrial engineering, Branch of Lahijan, Islamic Azad University, Lahijan, Iran
Keywords: Multi-criteria decision making, Delphi method, best-worst method, success factors,
Abstract :
In this research, a conceptual model for identifying and prioritizing the factors affecting the success of gas projects in the South Pars field in Iran using a multi-criteria decision-making approach and foundational data theory is presented. For this purpose, first, using the Delphi method, Paying attention to the technical challenges and contractual requirements of the project and ensuring customer satisfaction, Paying attention to the challenges in decision-making in the project closing phase and headquarters challenges, the support of senior managers and management. Release of guarantees, proper management of resources and risk management, correct planning and no change in the organization's strategy and attitude during the closing phase, having a coded operational plan for transfer and operation and updating the organization's current information management system, the desired performance of stakeholders and its effects on the quality of the launch. Then, using the best-worst method, while determining the best and worst criteria, the index of attention to the project completion phase and the consequences of the facility operation period are considered as the best criteria and the index of proper resource management and risk management are considered as the worst criteria. Finally, the importance of the criteria has been calculated. The second variable is the measure of technical challenges and contractual requirements of the project and ensuring customer satisfaction on the success of offshore gas projects is ranked first using the best-worst method with a weight of 0.219.
