Automated risk assessment for material movement in manufacturing

Abstract

<jats:p>Abstract: Proximity movements between vehicles transporting materials in manufacturing plants, or “interfaces”, result in occupational injuries and fatalities. Risk assessment for interfaces is currently limited to techniques such as safety audits, originally designed for static environments. A data-driven alternative for dynamic environments is desirable to quantify interface risks and to enable the development of effective countermeasures. We present a method to estimate the Risk Prioritization Number (RPN) for mobile vehicle interfaces in manufacturing environments, based on the Probability-Severity-Detectability (PSD) formulation. The highlight of the method is the estimation of the probability of occurrence (P) of vehicle interfaces using machine learning and computer vision techniques. A PCA-based sparse feature vector for machine learning characterizes vehicle geometry from a top-down perspective. Supervised classification on sparse feature vectors using Support Vector Machines (SVMs) is employed to detect vehicles. Computer vision techniques are used for position tracking to identify interfaces and to calculate their probability of occurrence (P). This leads to an automated calculation of RPN based on the PSD formulation. Experimental data is collected in the laboratory using a sample work area layout and scale versions of vehicles. Vehicle interfaces and movements were physically simulated to train and test the machine learning model. The performance of the automated system is compared with human annotation to validate the approach.</jats:p>

Gestão de riscos na proteção de máquinas e equipamentos aplicados a um caso industrial: indústria de embalagens flexíveis

“…Este estudo apresenta uma metodologia para detecção e avaliação de risco para interação entre as máquinas envolvidas na linha de produção industrial que compreendem os processos de: impressão, extrusão e laminação para a fabricação de embalagens flexíveis. Este setor de manufatura é particularmente vulnerável sobre a perspectiva dos requisitos de segurança, visto que, conforme Pradhan et al (2020) reportou, este setor foi responsável por um alto índice de lesões ocupacionais fatais no ambiente de trabalho.…”