TY - GEN
T1 - Assessment of Large Vessel Support Capability Based on Comprehensive Weighting Model
AU - Shang, Peng
AU - Sun, Yanhua
AU - Zhou, Zhuo
AU - Huag, Nieyong
AU - Zhou, Jian
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/8
Y1 - 2021/8/8
N2 - As a typical representative of complex electromechanical systems, only through the timely and effective equipment support activities can large vessel play its proper mission capabilities and ensure the successful completion of diversified missions. With the changing types and requirements of the large vessel to complete the missions, the difficulty of assessing the large vessel support capability also increases significantly. In this paper, a three-level assessment indicator system for the large vessel support capability is established based on the influencing factors of the equipment support, and the main indicators and their sub-indicators are selected according to the four aspects of the support capability: use and management, support command, redeployment support and technology support. Then, based on the assessment indicator system of the large vessel support capability, a weighting method for the assessment indicators is proposed combined with AHP and entropy method. A subjective weight model of the indicators is established based on AHP, and an objective weight model of the indicator is established based on entropy method. A comprehensive weight model is established based on the subjective and objective weights for assessing the large vessel support capability. Finally, taking a certain type vessel as an example, the results of the numerical analysis show that the assessment indicator system of the large vessel support capability and the weighting method are effective and feasible, and the conclusions of the assessment and analysis can provide an engineering decision-making basis for improving the large vessel support capability.
AB - As a typical representative of complex electromechanical systems, only through the timely and effective equipment support activities can large vessel play its proper mission capabilities and ensure the successful completion of diversified missions. With the changing types and requirements of the large vessel to complete the missions, the difficulty of assessing the large vessel support capability also increases significantly. In this paper, a three-level assessment indicator system for the large vessel support capability is established based on the influencing factors of the equipment support, and the main indicators and their sub-indicators are selected according to the four aspects of the support capability: use and management, support command, redeployment support and technology support. Then, based on the assessment indicator system of the large vessel support capability, a weighting method for the assessment indicators is proposed combined with AHP and entropy method. A subjective weight model of the indicators is established based on AHP, and an objective weight model of the indicator is established based on entropy method. A comprehensive weight model is established based on the subjective and objective weights for assessing the large vessel support capability. Finally, taking a certain type vessel as an example, the results of the numerical analysis show that the assessment indicator system of the large vessel support capability and the weighting method are effective and feasible, and the conclusions of the assessment and analysis can provide an engineering decision-making basis for improving the large vessel support capability.
KW - AHP
KW - Entropy method
KW - Large vessel
KW - Support capability
KW - Weight model
UR - http://www.scopus.com/inward/record.url?scp=85115196408&partnerID=8YFLogxK
U2 - 10.1109/ICMA52036.2021.9512812
DO - 10.1109/ICMA52036.2021.9512812
M3 - 会议稿件
AN - SCOPUS:85115196408
T3 - 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
SP - 356
EP - 362
BT - 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
Y2 - 8 August 2021 through 11 August 2021
ER -