Identification of factors affecting hoisting quality of large offshore structures and analysis of their coupling relationship based on grey-DEMATEL-ISM-MICMAC

The hoisting quality of large offshore structures (LOS) is impacted by numerous influencing factors, and their interaction relationships remain unclear. Therefore, research into the factors affecting hoisting quality has a profound impact on improving the service life and functionality of LOS. This paper summarizes 21 factors affecting hoisting quality based on existing literature. Subsequently, the Grey Decision-Making Test and Evaluation Laboratory (Grey-DEMATEL) is utilized to calculate the degree of influence and visualize the causality of these factors. An Interpretative Structural Model (ISM) is employed to establish a hierarchical structure to examine the coupling relationship among these factors. The Matrix Cross-Reference Multiplication Method (MICMAC) is adopted to clarify the role and status of the factors. The study reveals that there are five fundamental influence factors and four direct influence factors among the key factors affecting hoisting quality in LOS. This study can assist enterprises in proposing effective measures to promote the long-term development of hoisting quality management in LOS and lay a foundation for hoisting risk analysis. Furthermore, the study verifies that grey theory has greater flexibility in evaluating the fuzzy and uncertain problems in the expert decision-making process, resulting in more realistic outcomes.

Automated summary

This paper summarizes 21 factors affecting the hoisting quality of large offshore structures (LOS) based on existing literature. The Grey Decision-Making Test and Evaluation Laboratory (Grey-DEMATEL) is used to calculate the degree of influence and visualize the causality of these factors. An Interpretative Structural Model (ISM) is employed to examine the coupling relationship among these factors. The study reveals fundamental and direct influence factors among the key factors affecting hoisting quality in LOS. This study can assist enterprises in promoting the long-term development of hoisting quality management in LOS and lay a foundation for hoisting risk analysis. Grey theory has greater flexibility in evaluating fuzzy and uncertain problems in the decision-making process, leading to more realistic outcomes.