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Fuzzy Cost Modelling of Diving Chamber Control Measures under Uncertainties
Author(s) -
Thaddeus C. Nwaoha,
Ikuobase Emovon
Publication year - 2020
Publication title -
pomorstvo
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.197
H-Index - 8
eISSN - 1846-8438
pISSN - 1332-0718
DOI - 10.31217/p.34.2.24
Subject(s) - control (management) , measure (data warehouse) , engineering , reliability engineering , fuzzy logic , automotive engineering , risk analysis (engineering) , operations research , computer science , business , database , artificial intelligence
The diving chamber is an important system needed for diving operations in the oil and gas industry. Divers use it for various purposes. Thus, the safety level of the diving chamber needs to be very high at all times and the system needs to be in a good state. To achieve this, various control measures such as control measures 1 and 2 can be adopted in preventing failures/hazards or mitigate their consequences. In this study, fuzzy cost algorithm is used to estimate the cost of using control measures 1 and 2 in ensuring optimal operational level for the diving chamber, while the preference degree approach is adopted in prioritizing the aforementioned cost of control measures 1 and 2. The result of the analysis indicated that control measure 2 is the most cost effective approach.

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