TY - GEN
T1 - Application of an artificial intelligence decision-making method for the selection of maintenance strategy
AU - Yazdi, Mohammad
AU - Saner, Tulen
AU - Darvishmotevali, Mahlagha
PY - 2020
Y1 - 2020
N2 - Multi-criteria decision-making (MCDM) methods have been extensively used in different types of engineering applications. Therefore, the viability and reliability of the methods are always considered as a requirement in order to be adopted in different situations. Best worst method (BWM) which has recently been introduced to increase the consistency and uniformity of MCDM, using a multi-objective mathematical programming, has enough capability to determine the optimum results in a decision making problem. The study aims to utilize the BWM to select and prioritize maintenance strategy in offshore operation. In this respect, a group of decision makers participated in the assessment by expressing their opinions. Typically, if the final evaluation result is close to each expert’s opinion, subsequently the expert will accept it. Due to the fact that, BWM results in the optimum values; the results would be accepted by all the experts that have participated in the study.
AB - Multi-criteria decision-making (MCDM) methods have been extensively used in different types of engineering applications. Therefore, the viability and reliability of the methods are always considered as a requirement in order to be adopted in different situations. Best worst method (BWM) which has recently been introduced to increase the consistency and uniformity of MCDM, using a multi-objective mathematical programming, has enough capability to determine the optimum results in a decision making problem. The study aims to utilize the BWM to select and prioritize maintenance strategy in offshore operation. In this respect, a group of decision makers participated in the assessment by expressing their opinions. Typically, if the final evaluation result is close to each expert’s opinion, subsequently the expert will accept it. Due to the fact that, BWM results in the optimum values; the results would be accepted by all the experts that have participated in the study.
KW - BWM
KW - Multi-criteria decision making
KW - Off-shore operation
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85082004119&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-35249-3_31
DO - 10.1007/978-3-030-35249-3_31
M3 - Conference proceeding contribution
SN - 9783030352486
T3 - Advances in Intelligent Systems and Computing
SP - 246
EP - 253
BT - 10th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions - ICSCCW-2019
A2 - Aliev, Rafik A.
A2 - Kacprzyk, Janusz
A2 - Pedrycz, Witold
A2 - Jamshidi, Mo
A2 - Babanli, Mustafa B.
A2 - Sadikogl, Fahreddin M.
PB - Springer Nature Switzerland AG
CY - Cham
T2 - 10th International Conference on Theory and Applications of Soft Computing, Computing with Words and Perceptions, ICSCCW 2019
Y2 - 27 August 2019 through 28 August 2019
ER -