Improving profits and keeping the systems/processes safer are of paramount importance for all industries around the world. This PhD thesis addresses the both, specifically for process industry. This study develops with interdisciplinary approach by combining expertise from Human Factor studies, Cognitive Sciences (Organizational Psychology, Training, Human Error, Situation Awareness, and Distributed Situation Awareness), Information Technology, Experimental Psychology, and indeed Chemical Engineering. Every year several injuries, fatalities and loss of millions of euros take place on account of abnormal situations and accidents in process industry. In this work, a training and assessment tool is proposed whose significance in terms of improving safety is demonstrated experimentally. In the first phase technical details of the tool are focused and later the details of experiments are reported. The aim of experiments was to study the impact of different training methods on the performance of operators in distinct scenarios. The results of the study conducted in this PhD work reveals the benefits developing performance indicators, automated assessment methodology, and of training in immersive environment. It was found that the participants who received training in immersive environment were able to reduce the impact of a simulated accident scenario as compared to the participants trained with conventional training methods. Moreover, the Distributed Situation Awareness of the former was better than the later. In the second experiment a variation in training within immersive environment was made and the results showed the effectiveness of a trainer in immersive environment. The thesis incorporates the relational and social complexity that industrial operators face. The training gap is highlighted and subsequently a comprehensive training syllabus is devised as a step towards implementation of the findings of this work in the process industry. The cross disciplinary work of the thesis opens new horizons and fertile research questions for future investigations.

Improving profits and keeping the systems/processes safer are of paramount importance for all industries around the world. This PhD thesis addresses the both, specifically for process industry. This study develops with interdisciplinary approach by combining expertise from Human Factor studies, Cognitive Sciences (Organizational Psychology, Training, Human Error, Situation Awareness, and Distributed Situation Awareness), Information Technology, Experimental Psychology, and indeed Chemical Engineering. Every year several injuries, fatalities and loss of millions of euros take place on account of abnormal situations and accidents in process industry. In this work, a training and assessment tool is proposed whose significance in terms of improving safety is demonstrated experimentally. In the first phase technical details of the tool are focused and later the details of experiments are reported. The aim of experiments was to study the impact of different training methods on the performance of operators in distinct scenarios. The results of the study conducted in this PhD work reveals the benefits developing performance indicators, automated assessment methodology, and of training in immersive environment. It was found that the participants who received training in immersive environment were able to reduce the impact of a simulated accident scenario as compared to the participants trained with conventional training methods. Moreover, the Distributed Situation Awareness of the former was better than the later. In the second experiment a variation in training within immersive environment was made and the results showed the effectiveness of a trainer in immersive environment. The thesis incorporates the relational and social complexity that industrial operators face. The training gap is highlighted and subsequently a comprehensive training syllabus is devised as a step towards implementation of the findings of this work in the process industry. The cross disciplinary work of the thesis opens new horizons and fertile research questions for future investigations.

Improving industrial safety by novel training and assessment methods (development, testing and validation)

NAZIR, SALMAN

Abstract

Improving profits and keeping the systems/processes safer are of paramount importance for all industries around the world. This PhD thesis addresses the both, specifically for process industry. This study develops with interdisciplinary approach by combining expertise from Human Factor studies, Cognitive Sciences (Organizational Psychology, Training, Human Error, Situation Awareness, and Distributed Situation Awareness), Information Technology, Experimental Psychology, and indeed Chemical Engineering. Every year several injuries, fatalities and loss of millions of euros take place on account of abnormal situations and accidents in process industry. In this work, a training and assessment tool is proposed whose significance in terms of improving safety is demonstrated experimentally. In the first phase technical details of the tool are focused and later the details of experiments are reported. The aim of experiments was to study the impact of different training methods on the performance of operators in distinct scenarios. The results of the study conducted in this PhD work reveals the benefits developing performance indicators, automated assessment methodology, and of training in immersive environment. It was found that the participants who received training in immersive environment were able to reduce the impact of a simulated accident scenario as compared to the participants trained with conventional training methods. Moreover, the Distributed Situation Awareness of the former was better than the later. In the second experiment a variation in training within immersive environment was made and the results showed the effectiveness of a trainer in immersive environment. The thesis incorporates the relational and social complexity that industrial operators face. The training gap is highlighted and subsequently a comprehensive training syllabus is devised as a step towards implementation of the findings of this work in the process industry. The cross disciplinary work of the thesis opens new horizons and fertile research questions for future investigations.
FARAVELLI, TIZIANO
FARAVELLI, TIZIANO
10-mar-2014
Improving Industrial Safety by Novel Training and Assessment Methods (development, testing and validation)
Improving profits and keeping the systems/processes safer are of paramount importance for all industries around the world. This PhD thesis addresses the both, specifically for process industry. This study develops with interdisciplinary approach by combining expertise from Human Factor studies, Cognitive Sciences (Organizational Psychology, Training, Human Error, Situation Awareness, and Distributed Situation Awareness), Information Technology, Experimental Psychology, and indeed Chemical Engineering. Every year several injuries, fatalities and loss of millions of euros take place on account of abnormal situations and accidents in process industry. In this work, a training and assessment tool is proposed whose significance in terms of improving safety is demonstrated experimentally. In the first phase technical details of the tool are focused and later the details of experiments are reported. The aim of experiments was to study the impact of different training methods on the performance of operators in distinct scenarios. The results of the study conducted in this PhD work reveals the benefits developing performance indicators, automated assessment methodology, and of training in immersive environment. It was found that the participants who received training in immersive environment were able to reduce the impact of a simulated accident scenario as compared to the participants trained with conventional training methods. Moreover, the Distributed Situation Awareness of the former was better than the later. In the second experiment a variation in training within immersive environment was made and the results showed the effectiveness of a trainer in immersive environment. The thesis incorporates the relational and social complexity that industrial operators face. The training gap is highlighted and subsequently a comprehensive training syllabus is devised as a step towards implementation of the findings of this work in the process industry. The cross disciplinary work of the thesis opens new horizons and fertile research questions for future investigations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10589/89771