Modeling and analyzing multiteam coordination task safety risks in socio-technical systems based on FRAM and multiplex network: Application in the construction industry

Jue Li and Hongwei Wang

Reliability Engineering and System Safety, 2023, vol. 229, issue C

Abstract: The dynamically changing working environment and complex task requirements in modern industries emphasize the necessity of multiteam with different functions to work collaboratively. The multiteam coordination performance dominates the task process and the achievement of the superordinate goal, which will inevitably influence task safety. Although previous research has broadly identified the importance of inter-team cooperation to task performance, the analysis of the relationship between multiteam coordination structure, process, and system safety has not been fully addressed. Moreover, there is still a lack of an effective method to quantitatively analyze the functional interdependencies, interaction processes, and potential safety risks among teams in multiteam coordination tasks. Based on the construction industry background, this study combines FRAM and multiplex network to describe the multiteam coordination structure and task process variability. The relationship between multiteam coordination performance and construction safety risk is qualitatively and quantitatively analyzed. Case studies are adopted to verify the feasibility of the proposed method. The findings demonstrate the method's advantages in revealing the details of the influence of multiteam coordination performance on complex task safety, which is beneficial for developing targeted countermeasures to control safety risks from the perspective of the multiteam system.

Keywords: Functional resonance analysis method (FRAM); Multiteam coordination; System safety; Large-scale infrastructure construction project; Multiplex network (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004513

DOI: 10.1016/j.ress.2022.108836

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