Risk management and distributed simulation in Papyrus tool for decision making in industrial context

Abstract

Modeling and Simulation (M&S) are important steps in the design of industrial systems and production plants. They help in anticipating and understanding these complex systems in order to make decisions about strategic implementations before effective development. Once the models are satisfyingly built, namely they correctly reflect the system, the simulation can offer many behavioral information to the user. In this paper, we are proposing to integrate risk management, hazard generation, and complexity issues in process modeling with data coming from industrial context: polar power plant design. In this context, risks and hazards must be modeled, but are too large to be in the main model. For this purpose, the paper presents some extensions to the modeling and simulation open source tool: Papyrus. This proposition consists in developing the Papyrus features for outsourcing risks and hazards out of the model, exporting simulation's data in different components for decision making, and implementing distributed simulation mechanisms for dealing with reusability, and interoperability of components.

An Agent-Based Modeling and Virtual Reality Application Using Distributed Simulation: Case of a COVID-19 Intensive Care Unit

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Quality and Risk Management in Industrial Production Systems: A Literature Review

“…Even though some of them include quality and maintenance aspects, this paper will be reviewed with more impact on risk management. Risk analysis (Hietikko et al, 2011;Lo et al, 2019;Macedo and Jones, 2000;Brown, 2007;Mili et al, 2008;Shah et al, 2012;Shah, 2013;Behún et al, 2014;Kremljak and Kafol, 2014;Altinisik and Hugul, 2020;Huang et al, 2020;Wu et al, 2021) Risk management (Islam and Tedford, 2012;Karkoszka, 2013;Zetterlund et al, 2016;Ratnayake and Antosz, 2017;Bastchen et al, 2018;Crespo et al, 2018;Shafqat et al, 2019;Johnson and Bogle, 2019;Gorecki et al, 2019Lamine et al, 2020Kayis et al, 2007;Bassetto et al, 2011;Bauer et al, 2014 Cube andCui et al, 2016;Thekdi and Aven, 2016;Shahtaheri et al, 2017;Tupa et al, 2017;Bevilacqua and Ciarapica, 2018;Oduoza, 2020;Stürmlinger et al, 2020;Wen et al, 2021;Utiyama et al, 2021) Performance and risk management (Thekdi and Aven, 2019) Quality control and risk management (Kawai, 2013;Bettayeb et al, 2014) Quality and risk management (Lundgren et al, 2016;…”

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