Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15–17, 2023, Nanjing, China

Research Article

Safety Evaluation of Metal Structures of Quayside Container Cranes Based on Combination Weighting and Fuzzy Comprehensive Evaluation

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  • @INPROCEEDINGS{10.4108/eai.15-12-2023.2345290,
        author={Li  Chen and Keqin  Ding},
        title={Safety Evaluation of Metal Structures of Quayside Container Cranes Based on Combination Weighting and Fuzzy Comprehensive Evaluation},
        proceedings={Proceedings of the 3rd International Conference on Public Management and Big Data Analysis, PMBDA 2023, December 15--17, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={PMBDA},
        year={2024},
        month={5},
        keywords={quayside container crane subjective and objective combination weighting membership function model comprehensive safety evaluation in the fuzzy mode},
        doi={10.4108/eai.15-12-2023.2345290}
    }
    
  • Li Chen
    Keqin Ding
    Year: 2024
    Safety Evaluation of Metal Structures of Quayside Container Cranes Based on Combination Weighting and Fuzzy Comprehensive Evaluation
    PMBDA
    EAI
    DOI: 10.4108/eai.15-12-2023.2345290
Li Chen1, Keqin Ding1,*
  • 1: China Special Equipment Inspection and Research Institute
*Contact email: 503718617@qq.com

Abstract

To improve the accuracy and reliability of metal structure safety evaluation for quayside container cranes, this article constructs a fuzzy comprehensive evaluation method based on a membership function model, proposes and adopts a subjective and objective weight combination weighting method that combines CRITIC objective weight method, and AHP subjective weight method, and finally provides a system safety evaluation method for quayside container crane metal structures. Especially, the data-driven safety evaluation system for the metal structure of Quayside container cranes has been developed, which is convenient for large-scale promotion and application. At the same time, the engineering application results show that the combination weighting method reduces the extreme value impact caused by subjective judgment, and takes into account the differences and correlations between different indexes. The evaluation results obtained by this method are more accurate and safe.