An application of fuzzy BWM for risk assessment in offshore oil projects

Autor:	M. R. Ghaeli, Reza Ketabchi
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	lcsh:Management. Industrial management Computer science business.industry Environmental economics lcsh:Business Fuzzy logic Offshore oil projects Currency Project management lcsh:HD28-70 Submarine pipeline Risk assessment business lcsh:HF5001-6182
Zdroj:	Journal of Project Management, Vol 4, Iss 3, Pp 233-240 (2019)
ISSN:	2371-8374 2371-8366
Popis:	The purpose of this paper is to examine the existing risks for the offshore project and risk weighting using the fuzzy best worst method (FBWM). In offshore oil projects, we face six major risks. Each of these risks is divided into smaller risks leaving us to have a total of 34 risks. Some of these risks are internal and some are external risks. In this method, first, the experts of this field determined the best and the worst type of risk. Then, using the experts’ opinions, the study compared the remaining risks with the two selected risks and the other weights are determined. In our survey, “Technical Risk and Project Execution” is the most important risk factor followed by “Political Risk and Sanctions”, “Market risk”, “Manage-ment risk”, “Financial risk and currency fluctuations” and “Environmental risk”.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bfaa1ce5b96301cafe1a462a2c6d97e http://www.growingscience.com/jpm/Vol4/jpm_2019_9.pdf Zobrazit plný text záznamu