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The paper discusses the impact of the COVID-19 pandemic on the Italian chemical and process industries, where Directive 2012/18/EU Seveso III, for the control of Major Accident Hazard (MAH), is enforced. The Safety Management System (SMS) for the control of MAH, which has been mandatory for 20 years in Italian Seveso Establishments, has been highly stressed by the external pressure, related in some way to the COVID-19 pandemic. Fairly, most companies, in particular in oil and gas sectors, have demonstrated an adequate capability to reconcile operation continuity and health requirements. This experience is providing the establishment operators and the regulators with valuable suggestions for the improvements of the SMS-MAH. Within this framework, an innovative organisational resilience model is proposed, aiming at the development of a higher capability to face future new crisis. The current SMS-MAH already includes some basic pillars to enhance resilience, which were valuable during the pandemic crisis, but a full and rationale development is still needed. Starting from the first pandemic phase experience, this paper presents a novel tool to assess the degree of "resilience" of a SMS-MAH. It is based on a questionnaire, featuring 25 questions grouped into eight items, according to the typical SMS-MAH structure. A two level AHP model has been developed in order to define the weights to be assigned to each point. The AHP panel included industrial practitioners, regulators, authorities and researchers. The results are based on the COVID-19 experience and consequently the developed model is tailored to face health emergencies, but the approach may be easily transferred to other external crises.

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The education and training program for inspectors of Major Accident Hazard Establishments, specifically the EC Seveso III directive implicated Dutch chemical companies, changed considerably over a fifteen year period. This longitudinal, time-series cross sectional case study describes the development of the education and training program for Major Hazard Control inspectors, acting as regulators from the Labour inspectorate, belonging to the Dutch Ministry of Social Affairs and Employment. A blueprint had to be constructed in order to assess the development and quality of this program in four cross sections over time. The description highlights both the safety related content and the regulator skills parts of the program in its changing context. Professional standards, educational objectives, quality of education, evaluation method, education change process and the response to the dynamic operational environment were examined. The main findings are that the education and training program kept the same main structure over the time period while its contents were adapted to respond to external context changes. Internal evaluation of performance data and education style led to a shift in contents from theoretical knowledge towards safety management and inspection practice oriented experience related knowledge. An active teaching style, increased usage of professional standards and more systematic evaluation, starting from the blue print in this study, offer the best opportunities for further improvement. Current insights on regulatory performance lead to a recommended future perspective for the inspectors' role to be translated into education and training: balancing empathy, inquisitiveness and support with control and enforcement, or rather: exert tough love, staying between too soft and too hard.

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Historical data analysis shows that escalation accidents, so-called domino effects, have an important role in disastrous accidents in the chemical and process industries. In this study, an agent-based modeling and simulation approach is proposed to study the propagation of domino effects in the chemical and process industries. Different from the analytical or Monte Carlo simulation approaches, which normally study the domino effect at probabilistic network levels, the agent-based modeling technique explains the domino effects from a bottom-up perspective. In this approach, the installations involved in a domino effect are modeled as agents whereas the interactions among the installations (e.g., by means of heat radiation) are modeled via the basic rules of the agents. Application of the developed model to several case studies demonstrates the ability of the model not only in modeling higher-level domino effects and synergistic effects but also in accounting for temporal dependencies. The model can readily be applied to large-scale complicated cases.

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The evaluation of the initial direction and velocity of the fragments generated in the fragmentation of a vessel due to internal pressure is an important information in the assessment of damage caused by fragments, in particular within the quantitative risk assessment (QRA) of chemical and process plants. In the present study an approach is proposed to the identification and validation of probability density functions (pdfs) for the initial direction of the fragments. A detailed review of a large number of past accidents provided the background information for the validation procedure. A specific method was developed for the validation of the proposed pdfs. Validated pdfs were obtained for both the vertical and horizontal angles of projection and for the initial velocity of the fragments.

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