The evaluation of effective risk management criteria in the of natural gas distribution network projects implementation with fuzzy SWARA and fuzzy best- the worst method approach

Subject Areas :

Ammar Rostami Najafabadi ¹ , Mehrdad Nikbakht ² , Atefeh Amindoust ³ , Mehdi Karbasian ⁴

1 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
2 - Modern Manufacturing Technologies Research Center, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
3 - Modern Manufacturing Technologies Research Center, Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
4 - Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran.

Received: 2024-01-02 Accepted : 2024-04-15 Published : 2024-04-29

Keywords: project, natural gas distribution networks, risk management, fuzzy SWARA technique and fuzzy best- the worst method.,

Abstract :

Gas distribution networks are considered essential. Therefore, considering the importance of the implementation of such projects and the challenges raised in this field, the present study tries to evaluate the key criteria of risk management in the implementation of network projects by comparing two fuzzy multi-indicator decision-making techniques. Pay for the distribution of natural gas. For this purpose, by selecting a number of 36 experts and experts in the field of natural gas industry, using a researcher-made questionnaire, Lawshe method and multi-indicator decision- making techniques based on fuzzy SWARA and fuzzy best- the worst method were used. The obtained results indicate that, out of 32 risk management criteria, 17 criteria were identified as key risk management criteria. Also, based on the results, it is concluded is consistent that the final and definitive weight of the criterion of inadequacy or lack of technical information for design in carrying out the fuzzy best- the worst method multi-indicator decision-making technique with the second rank of the final and definitive weight obtained in the fuzzy SWARA multi-indicator decision-making technique and has been evaluated with the highest importance and the final and definitive weight of the criterion of the inappropriate evaluation process and the selection of suppliers and contractors in two multi-indicator decision- making techniques has been evaluated with the least importance. They share meaning with each other.