AM - DC - DCEE - Departamento de Ciências Exatas e Engenharias
Permanent URI for this community
Browse
Browsing AM - DC - DCEE - Departamento de Ciências Exatas e Engenharias by Subject "Bayesian Belief Network"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
- Comprehensive Risk Assessment Of Industrial Radiography Process Within Industry 5.0: Towards Continuous Safety ImprovementPublication . Pereira, José Cristiano; Dores, Joana Maria Costa Martins das; Reis, João Carlos Gonçalves dosThe radiographic inspection of critical jet engine hardware involves inherent risk factors. Failure to address these risks appropriately can lead to catastrophic operational accidents, including loss of life and aircraft destruction. Recognizing and mitigating these risks is crucial, with the human factor playing a pivotal role in ensuring the success of the inspection process. In the context of Industry 5.0, a groundbreaking paradigm that prioritizes human needs and well-being in technological advancements, our study seeks to illuminate the risks associated with the failure of radiographic inspection of critical hardware. Furthermore, we aim to explore how the Industry 5.0 framework can be effectively leveraged to optimize this inspection process. This research endeavors to generate practical insights into each process variable, offering actionable strategies to prevent failures in both inspection procedures and critical hardware components. Its significance extends to inspectors, manufacturing engineers, safety engineers, and company decision-makers, providing guidance on implementing a risk assessment program rooted in Industry 5.0 principles for process optimization. Distinguishing itself as an innovative endeavor, this study pioneers the application of the Industry 5.0 approach to radiographic inspections. Methodologically, it employs a thorough review of state-of-the-art literature, standards, and regulations to identify risk factors. Subsequently, the study illustrates how Industry 5.0 concepts can be applied to formulate effective responses to these risks. The outcome comprises a comprehensive list of identified risks and practical examples showcasing the application of Industry 5.0 concepts. The ultimate goal is to enhance the overall quality, reliability, and profitability of companies engaged in jet engine hardware maintenance, manufacturing, and other processes employing X-ray and gamma rays. The result can be used as a guideline by jet engine hardware maintenance, manufacturing professionals, and other organizations using X-ray and gamma rays in their processes. Although the primary focus is on the radiographic inspection within a jet engine repair station, the study findings can be generalized to other industries that use industrial radiographic inspection and whose sustainability is affected by inspection failure, resulting in waste, rework, and unnecessary energy consumption. The study provides guidelines to be used by professionals, engineers, inspectors, and decision-makers. The study outlines measures that can significantly improve operational performance, enhance safety standards, reduce costs, minimize waste, and positively impact organizational sustainability. By addressing a critical gap in the literature, our study introduces a pioneering perspective on the transformative potential of Industry 5.0 concepts in radiographic inspections. The guidelines provided can be instrumental for developing risk assessment programs, further contributing to the improvement of organizational quality, safety, and overall financial wellbeing. This study sets the stage for future academic research, inspiring scholars to delve deeper into refining inspection quality and processes.