Circuit Board Assembly Workshop Operational Risk Management and Assessment

Shichang Lu and Fenglian Xie ()
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Shichang Lu: Liaoning HuLuDao, Liaoning Engineering Technology University, School of Business Administration
Fenglian Xie: Liaoning HuLuDao, Liaoning Engineering Technology University, School of Business Administration

A chapter in Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), 2024, pp 211-220 from Springer

Abstract: Abstract The article presents a method for managing and evaluating operational risks in manufacturing production sites for circuit board assembly, addressing the uncertainties, diversities, and dynamic changes in influencing factors. This approach, employing Fuzzy Dynamic Bayesian Network (FDBN), establishes a risk assessment framework from five perspectives: personnel, machinery, materials, methods, and environment. It constructs a Fault Tree Analysis (FTA) model and maps the fault tree to a Dynamic Bayesian Network model (DBN). Node probabilities are quantified using fuzzy theory and expert scoring method. Through bidirectional inference of dynamic Bayesian reasoning, the method evaluates safety risks for on-site operation personnel in manufacturing production, deriving time-sequential dynamic curves of safety risk changes and reverse inferring key influencing factors. The research conclusions offer new insights for operational safety regulations.

Keywords: Operational Risk Management; 5M1E; Fault Analysis (FTA); Dynamic Bayesian (DBN); Fuzzy Set Theory (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-570-6_23

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DOI: 10.2991/978-94-6463-570-6_23

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