1,720,986 research outputs found
Railway tunnels safety: analysis of critical reliability aspects
No full textThe continuous technological evolution and increase in the standard of living of the population have led today to an increase in the volume of rail traffic. Despite railways being a statistically safe form of transportation rail accidents may still happen. The paper aims to propose a model to show a proper level of safety in railway tunnels, through the adoption of measures of prevention and protection finalised at the reduction of critical situations. In the present study a rigorous methodological approach is proposed for a 'typical' Italian railway tunnel
Analysis of reliability aspects of railway accident precursors: An Italian case study
No full textThe Railway transport system is experimenting a deep transformation nowadays. The
continuous technological evolution and the raising the standard of living of the population have led
today to an increase in the volume of rail traffic, both referred to the passenger and freight transport.
Despite railways being a statistically safe form of transportation (due to guidance per rails,
professional drivers, etc.) rail accidents may still happen. Safety in railway infrastructure must be
understood as the safe performance of their functions by the main components. From this
perspective it denotes a growing interest in the issue of safety in railway tunnels. In particular, the
analysis of the structural aspects of reliability and maintenance goes to correlate safety analysis. The
papers aims to ensure a proper level of safety in railway tunnels, through the adoption of measures
of prevention and protection finalized at the reduction of critical situations. In the present study a
rigorous methodological approach is proposed for a “typical” Italian railway tunnel
A Disaster Risk Management Performance Index to Assess Safety and Security in Industrial Plants
No full textThe goal of the research is to present an integrated approach that combines multi criteria
analysis and disaster and emergency management. The study is based on a well know multi criteria
technique, the Analytic Hierarchy Process (AHP). An AHP model is proposed in order to define a
Disaster Risk Management Performance Index (DRMPI) that quantifies the performance and
effectiveness of risk management to evaluate emergency alternative problems. This model is
implemented in a real case study
Design and control of logistic process in an Italian Company: Opportunities and Challenges based on Industry 4.0 Principles
No full textToday "Industry 4.0" becomes the key concept in a world where intelligent machines, systems and networks are capable of independently exchanging and responding to information to manage industrial production processes. The present research aims to evaluate the integration of RFID technology into existing SAP/ERP systems in combination of Industry 4.0 technologies as RFID technology is currently one of the most progressively growing identification technologies. The idea is to store information originating from a SAP/ERP system representing processes and time directly on the RFID tags. A real case study concerning an Italian pilot project is presented. Results show an improvement of the efficiency and of the organizational management through an intelligent and digital process management
The digital transformation of health care systems engineering
No full textThe purpose of the present research is to develop a new management model to beyond the limits of currently available triage process. The model aims to propose a digitized procedure that enable more efficient automation and better decision making in order to avoid incorrect attribution of the triage code. The proposed approach integrates GIS algorithm, big data and multi-criteria analysis. The model is a pilot study simulated through Flexsim Softwar
The importance of human error and reliability management in critical conditions and infrastructures
No full textProtection and safeguarding of critical infrastructures (such us chemical industry, oil & gas industry, nuclear industry, etc.) is an important subject of study in the contemporary society. The study of risks associated to critical infrastructure required models of good practice to investigate the complexity of processes in case of accidents. The risk management can be viewed in two ways: human error and system reliability. In other words in terms of human error it is essential to ensure the operator performance to manage a complex system or an unexpected situation. While in terms of system reliability it is essential to ensure that a system is at least as reliable as the system it is replacing. The present chapter aims to analyze the main disasters occurred in critical infrastructures related to human errors or lack of reliability of systems
Prospective design of smart manufacturing: An Italian pilot case study
No full textThe digitization of the manufacturing process is creating a new industrial revolution, the so-called "Industry 4.0" or "smart manufacturing". The research proposes a "pilot" study concerning the digitization of a logistic process in an Italian company that operates in railway sector. The research does not focus on technical components of digitization, as literature on this field is complete. It describes the main methodological steps implemented for the optimization of the warehouse management. Technological, Organizational and human factors that influence the process digitization have been analyzed. The main results were analyzed through Flexsim 2017® software
Functional human reliability analysis: A systems engineering perspective
No full textThe human unreliability is the main cause of industrial accidents. In the petrochemical field, about 90% of accidents are due to human errors. Over the years, several models of Human Reliability Analysis have been developed. The major limitation of these models is due to their static nature. Thus, the present research aims to propose a new innovative approach to evaluate the variability of the human error probability between related activities in complex systems using a resilience engineering approach. Research integrates an HRA evaluation model with a resilience engineering model called Functional Resonance Analysis Model to assess the human error variability. The methodology is applied in a real case study for the emergency management in a petrochemical company
Prioritising the safety management elements through AHP model and key performance indicators
No full textSafety management is considered a basic component of any firm’s safety culture in various models. In fact, accidents at workplace not only provoke a decrease in human capital; they also generate financial losses. Nowadays, the organizations have been searching for continuous improvement within this specific issue. The objective of this work is to develop a multicriteria model to evaluate the performance of process safety management system. More specifically, the purpose of the study is to present a hierarchy decision model for assessing the priority of elements of goals of OHSAS 18001 by using the Analytic Hierarchy Process (AHP) methodology and to select a set of KPIs for measuring safety performance. A real case study is analyzed
Development of a risk analysis model to evaluate human error in industrial plants and in critical infrastructures
No full textThe complexity of production systems negatively affects operator's ability to make decisions during emergency conditions. The aim of the present research is to propose a hybrid model for human error probability analysis, called Emergency Human Error Analysis (EHEA), which considers all contingency factors that influence decisions and actions of the operator. The model aims to evaluate the human error probability in emergency conditions in industrial plants and critical infrastructures. The proposed model is based on SHERPA model (simulator for human error probability analysis) and on the performance shaping factors relationship, which represents the environmental system. This model can be used in preventive phase to analyze the possible accident scenarios. A real case study concerning the emergency conditions in a petrochemical plant is analyzed
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