Paolo Trucco

A two-step method to assess the resilience of road network infrastructures is developed to support resilience capacity building. The first step exploits the DMCI (dynamic functional modelling of vulnerability and interdependency of critical infrastructure) modelling approach for transportation network characterisation. DMCI reveals the cascading effects under disruption (due to interdependencies), and ranks the road sections according to their criticality (vital node analysis - VNA). The second… Visualizza altro

A two-step method to assess the resilience of road network infrastructures is developed to support resilience capacity building. The first step exploits the DMCI (dynamic functional modelling of vulnerability and interdependency of critical infrastructure) modelling approach for transportation network characterisation. DMCI reveals the cascading effects under disruption (due to interdependencies), and ranks the road sections according to their criticality (vital node analysis - VNA). The second step uses a quantitative coping capacity index (CCI) to assess in more detail the capacity of operators and first responders to cope with an incidental event coordinating all available resources, in order to respond and rapidly recover service operations managing all the relevant interdependencies. The combination of the two levels of analysis offers more comprehensive insights on a transportation network resilience and its intended use is to guide resilience planning within capacity building programs, at both intra- and inter-organisational levels. Meno dettagli

Hospitals are expected to operate at a high performance level even under exceptional conditions of peak demand and resource disruptions. This understanding is not mature yet and there are wide areas of possible improvement. In particular, the fast mobilization and reconfiguration of resources frequently result into the severe disruption of elective activities, worsening the quality of care. This becomes particularly evident during the on-going coronavirus disease 2019 (COVID-19) pandemic. More… Visualizza altro

Hospitals are expected to operate at a high performance level even under exceptional conditions of peak demand and resource disruptions. This understanding is not mature yet and there are wide areas of possible improvement. In particular, the fast mobilization and reconfiguration of resources frequently result into the severe disruption of elective activities, worsening the quality of care. This becomes particularly evident during the on-going coronavirus disease 2019 (COVID-19) pandemic. More resilient resource allocation strategies, that is, which adapt to the dynamics of the prevailing circumstance, are needed to maximize the effectiveness of health-care delivery. In this study, a simulation approach was adopted to assess and compare different hospital’s adaptive resource allocation strategies in responding to a sudden onset disaster mass casualty incident (MCI).
Discrete event simulation (DES) and system dynamics (SD) were used to model the key hospital processes and the MCI plan.
In the daytime scenario, during the recovery phase of the disaster, a gradual disengagement of resources from the emergency department (ED) to restart ordinary activities in operating rooms and wards returned the best performance. In the night scenario, the absorption capacity of the ED was evaluated by identifying the current bottleneck and assessment of the benefit of different resource mobilization strategies.
The present study offers a robust approach, effective strategies and new insights to design more resilient plans to cope with MCIs. It becomes particularly relevant when considering the risk of indirect damage of emergencies, where all the available resources are shifted from the care of the ordinary to the “disaster” patients, like during the on-going COVID-19 pandemic. Meno dettagli

Recent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a… Visualizza altro

Recent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a focal company's perspective.
A systematic procedure for data collection, encoding and aggregation based on incident data mainly from secondary sources was used. Multiple regression models were run to analyse direct and moderation effects involving resilience, distance of impact location from trigger point, and supply chain complexity on weighted performance change.
Supply chain complexity is found to have positive moderation on the ripple effect of disruption. Resilience capability remains to have dominating direct positive effect in mitigating disruptions when supply chain complexity is taken into account.
This study extends the research discourse on supply chain resilience and disruption management with focus on the supply side. It demonstrates that, along with the severity of the disruption scenario, the ripple effect must also be considered when analyzing the benefits of resilience practices implemented by the focal company.
Complexity in the supply chain can only help to smooth-out the rippling effects of a disruption, which go largely beyond supply-demand unbalances and lead time fluctuations. To mitigate it better, the focal company has to act proactively with adequate resilience practices, which also connects to the importance of better visibility across multiple supply chain tiers.
This is the first study that empirically tests the benefits of resilience practices and the ripple effect of disruptions under the moderation role of supply chain complexity. Meno dettagli

The present study aims to shed light into existing and emerging European external interdependencies and to provide a preliminary list of suggestions to enhance risk management and resilience practices to be better prepared for disruptive events outside EU in the future. Furthermore, major needs for analys and modelling of external interdependencies are also identified and discussed. The report is intended to support policy makers and facilitate the preparation of policies and strategies in the… Visualizza altro

The present study aims to shed light into existing and emerging European external interdependencies and to provide a preliminary list of suggestions to enhance risk management and resilience practices to be better prepared for disruptive events outside EU in the future. Furthermore, major needs for analys and modelling of external interdependencies are also identified and discussed. The report is intended to support policy makers and facilitate the preparation of policies and strategies in the domain of external dimension of EPCIP by covering the following:
- identification of external dependencies and interdependencies in the domain of energy, transport
and major key resources;
- indication of impacts at EU level of major accidents and events that happened outside EU 27 in recent years;
- identification of some high level recommendations and suggestions for improving the risk
management approach of EPCIP, including necessary actions at preparedness and response level;
- recommendations for promoting the development of scenarios and tools focused on the
identification and analysis of external dependencies. Meno dettagli