Fundamentals of Risk Management for Process Industry Engineers

Fundamentals of Risk Management for Process Industry Engineers outlines foundational principles of human-centered, sociotechnical risk management, and how they can be applied to deliver real improvements in risk identification, understanding, analysis, control, communication, and governance. To maximize sustainable competitiveness requires the identification and optimization of the range of risks that can impact a business. Hence, understanding the foundational principles of sociotechnical risk management is required to design and execute effective risk identification, optimization, and management strategies. - Covers the foundations of risk management - Explains how risk management and professional engineering practice are interrelated - Describes the role and importance of humans in risk management activities - Discusses the fundamentals surrounding how to identify, assess, treat, monitor, and review risks in high hazard industries - Presents the range of operational risks faced by process companies, including safety and health, environmental and social risk, project risk, and supply chain risk

Maureen Hassall is an Associate Professor at the University of Queensland and director of UQ R!SK, a leading-edge, multidisciplinary initiative that crosses the fields of industrial risk and human factors. Maureen works collaboratively with a broad range of safety critical industries to develop better human-centred risk management approaches that improve companies' operational performance and competitiveness. Her industry-focused research is motivated by 18 years of industry experience working in a number of different countries and in a variety of roles including specialist engineering, line management, organisational change and business performance improvement roles.Maureen also develops and delivers risk management and human factors training, education and advice to undergraduate and postgraduate students and well as directly to industry. In addition she supervises Masters and PhD candidates undertaking industry focused human factors and operational risk related research.