Reliability, Safety, and Risk Management in Industrial and Service Sector Production Facilities

Description

The research activity was dedicated to the development and application of models and methods for the planning, design and management of maintenance in industrial production systems and services, with significant implications in the management of productivity, quality and safety. Some key words of this research activity are: reliability engineering, reliability evaluation, availability, maintainability, Risk Management, safety, quality, advanced models in reliability, Markov Chain, Monte Carlo simulation, Reliability Block Diagram – RBD, Fault Tree Analysis FTA, Warranty models, Spare Parts models, Predictive Maintenance etc..
A large space is dedicated to the discussion and comparison of numerous cost (cost-based) and risk models for preventive maintenance and inspection of complex production systems.

Predictions of residual life of equipments and systems

Development of risk assessment models

Publications

• Bevilacqua, M., Bottani, E., Ciarapica, F. E., Costantino, F., Di Donato, L., Ferraro, A., … & Vignali, G. (2020). Digital twin reference model development to prevent operators’ risk in process plants. Sustainability, 12(3), 1088. https://doi.org/10.3390/su12031088
• Antomarioni, S., Ciarapica, F. E., & Bevilacqua, M. (2023). Data-driven approach to predict the sequence of component failures: a framework and a case study on a process industry. International Journal of Quality & Reliability Management, 40(3), 752-776. 10.1108/IJQRM-12-2020-0413
• Antomarioni, S., Ciarapica, F. E., & Bevilacqua, M. (2022). Association rules and social network analysis for supporting failure mode effects and criticality analysis: Framework development and insights from an onshore platform. Safety science, 150, 105711. 10.1016/j.ssci.2022.105711
• Bevilacqua, M., Ciarapica, F. E., & Mazzuto, G. (2018). Fuzzy cognitive maps for adverse drug event risk management. Safety science, 102, 194-210. 10.1016/j.ssci.2017.10.022
• Mazzuto, G., & Ciarapica, F. E. (2019). A big data analytics approach to quality, reliability and risk management. International Journal of Quality & Reliability Management, 36(1), 2-6. 10.1108/IJQRM-01-2019-294

Staff

Prof. Maurizio Bevilacqua 
Tel. +39 071 220 4874
email: m.bevilacqua@staff.univpm.it

Prof. Filippo Emanuele Ciarapica 
Tel. +39 071 220 4435
email: f.e.ciarapica@staff.univpm.it

Prof.ssa Claudia Paciarotti 
Tel. +39 071 220 4696
email. c.paciarotti@staff.univpm.it

Prof. Giovanni Mazzuto
email. g.mazzuto@staff.univpm.it