The Plant Simulator as viable means to prevent and manage risk through competencies management: Experiment results. (April 2016)
- Record Type:
- Journal Article
- Title:
- The Plant Simulator as viable means to prevent and manage risk through competencies management: Experiment results. (April 2016)
- Main Title:
- The Plant Simulator as viable means to prevent and manage risk through competencies management: Experiment results
- Authors:
- Colombo, Simone
Golzio, Luigi - Abstract:
- Graphical abstract: Highlights: Experiment based decision making & knowledge management by a Plant Simulator (PS). Objective vs. subjective assessment of operators' and managers' performance. Comparison of operators' performance with classroom training vs. PS training. Immersive Virtual Environments for training and performance assessment. Experiment results on the improved performance based on training with PS. Abstract: Making decisions and managing competences in complex systems is a challenging task to accomplish. Specifically, the process industry is known for its complexity and sensitivity to critical procedures. Recent disasters like the "Deepwater Horizon" (2010, 11 fatalities), BP Texas City (2005, 15 fatalities), and AZF Toulouse (2001, 29 fatalities), clearly showed the risk to which we are all exposed. The increasing complexity of processes, due to the simultaneous escalation of automation, optimisation and intensification processes (followed to face globalisation challenges), are moving the attention to the management of abnormal situations, which are even more complex in nature and frequent. This increasing complexity, coupled with the fact that abnormal situations may lead to irreversible losses, is imposing the adoption of adequate approaches and tools that allow for better learning and properly managing abnormal situations. The paper presents a simulation-enabled, experiment-based approach that can be used to prevent and manage risk through competenciesGraphical abstract: Highlights: Experiment based decision making & knowledge management by a Plant Simulator (PS). Objective vs. subjective assessment of operators' and managers' performance. Comparison of operators' performance with classroom training vs. PS training. Immersive Virtual Environments for training and performance assessment. Experiment results on the improved performance based on training with PS. Abstract: Making decisions and managing competences in complex systems is a challenging task to accomplish. Specifically, the process industry is known for its complexity and sensitivity to critical procedures. Recent disasters like the "Deepwater Horizon" (2010, 11 fatalities), BP Texas City (2005, 15 fatalities), and AZF Toulouse (2001, 29 fatalities), clearly showed the risk to which we are all exposed. The increasing complexity of processes, due to the simultaneous escalation of automation, optimisation and intensification processes (followed to face globalisation challenges), are moving the attention to the management of abnormal situations, which are even more complex in nature and frequent. This increasing complexity, coupled with the fact that abnormal situations may lead to irreversible losses, is imposing the adoption of adequate approaches and tools that allow for better learning and properly managing abnormal situations. The paper presents a simulation-enabled, experiment-based approach that can be used to prevent and manage risk through competencies management. More specifically, the paper presents the results of the first experiment campaign performed in a Plant Simulator (PS), the first known in the process industry domain, and shows the efficacy of using Immersive Virtual Environments (IVE) both to make decisions and to train teams (not just single operators). The experiment results presented in the paper show the effectiveness of IVE to increase the competencies and train operators and managers. In addition, they explain how conveniently the data collected by means of the PS can be used for making daily decisions to better prevent and manage risks. … (more)
- Is Part Of:
- Safety science. Volume 84(2016)
- Journal:
- Safety science
- Issue:
- Volume 84(2016)
- Issue Display:
- Volume 84, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 84
- Issue:
- 2016
- Issue Sort Value:
- 2016-0084-2016-0000
- Page Start:
- 46
- Page End:
- 56
- Publication Date:
- 2016-04
- Subjects:
- Experiment-based decision-making -- Plant Simulator -- Performance Assessment -- Immersive Virtual Environments -- Operator training simulator
Industrial accidents -- Periodicals
Accident Prevention -- Periodicals
Safety -- Periodicals
Travail -- Accidents -- Périodiques
363.11 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09257535 ↗
http://www.elsevier.com/journals ↗
http://www.journals.elsevier.com/safety-science/ ↗ - DOI:
- 10.1016/j.ssci.2015.11.021 ↗
- Languages:
- English
- ISSNs:
- 0925-7535
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8069.124900
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 7650.xml