Title: Multidisciplinary development of a simulation of industrial plant disasters designed for improving safety through training and new procedures

Authors: Marco Frascio; Katia Cortese; Kirill Sinelshchikov; Francesco Longo

Addresses: DISC, Dipartimento di Scienze Chirurgiche e Diagnostiche Integrate, Università degli Studi di Genova, Viale Benedetto XV, 6, 16132 Genova, Italy ' DIMES, Dipartimento di Medicina Sperimentale, Università degli Studi di Genova, Via Leon Battista Alberti, 2, 16132, Genova, Italy ' DIME, Dipartimento di Ingegneria Meccanica, Energetica, Gestionale e dei trasporti, Università degli Studi di Genova, Via all'Opera Pia, 15, 16145, Genova, Italy ' DIMEG, Dipartimento di Ingegneria Meccanica, Energetica e Gestionale, Universitàdella Calabria, Via P. Bucci, Rende 87036, Italy

Abstract: Industrial accidents are an unfortunate reality, therefore there are just a limited number of situational training exercises to cope with the management of these kinds of emergencies. The authors propose a simulation approach for developing innovative response procedures during industrial crises integrated with start system triage model. The proposed simulator is based on an interoperable architecture using the new MS2G paradigm and it designed for being federated by IEEE 1516 HLA with other systems. The paper presents its use as test-bed on a specific case study conducting experiments over the SPIDER virtual platform developed by simulation team. In facts these experiments were based on two university classes that performed tests and training experiences on multiple target functions including mission time, detection, classification and securing of injured people. The analysis included also use of innovative procedures based on autonomous systems. The obtained results highlighted improvements on the learning curves with respect to specific target functions. These results confirm the potential of this approach as a training strategy that combines medical skills with engineering to improve reaction capabilities and situation awareness during industrial crises.

Keywords: medical simulation; medical emergency management; triage; industrial plan disaster; healthcare emergency.

DOI: 10.1504/IJSPM.2019.101015

International Journal of Simulation and Process Modelling, 2019 Vol.14 No.3, pp.279 - 293

Received: 05 May 2018
Accepted: 02 Dec 2018

Published online: 16 Jul 2019 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article