
Human Systems Integration for Mining Automation
Description
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The book approaches this from a "Human Systems Integration" standpoint in which the technical and human-related aspects are jointly considered as part of an integrated, automated mining system. This accessible and readable title offers a wider Human Systems Integration framework that can be applied to mining projects. It is based on an established framework that has been developed and used successfully in other work. The framework is backed up with information obtained from mines in Australia, the USA, Canada, Sweden, and Chile and original equipment manufacturers such as Caterpillar, Komatsu, Sandvik and Epiroc. Every reader of this book will recognise the essential benefits of human systems integration for mining automation.
This book will be an ideal read for industry professionals including systems engineers, safety engineers, mining engineers, human factors engineers, and engineers working on developing and deploying automation in mining and related industries including rail, road transport, and process control. It will also be of interest to students, researchers, and academics in related fields.
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Persons
Professor Tim Horberry is Professor of Human Centred Safe Design at the University of Queensland in Australia. He is the first author of "Human-Centered Design for Mining Equipment and New Technology" (2018) and "Human Factors for the Design, Operation, and Maintenance of Mining Equipment" (2011).
Dr Danellie Lynas is a Senior Research Fellow within the Minerals Industry Safety and Health Centre, Sustainable Minerals Institute at the University of Queensland, Australia. She is a Certified Professional Ergonomist and has previously conducted research in the area of mining automation.
Associate Professor Andrew Hill is Principal Research Fellow within the Minerals Industry Safety and Health Centre, Sustainable Minerals Institute, The University of Queensland. He has a PhD in Cognitive Psychology, and has conducted research in applied cognitive psychology across diverse industries.
Professor Joel Haight is Professor of Industrial Engineering, Swanson School of Engineering at University of Pittsburgh, USA. He has a PhD in Industrial and Systems Engineering from Auburn University and has spent 21 years as researcher and professor, 4 years as research manager in U.S. Federal government, and 18 years as an engineer and manager in the oil industry.
Content
About the authors
List of Contributors
Chapter 1: Human Systems Integration and Automated Mining
Chapter 2: Automation benefits and failure modes
Chapter 3: Best practice in other industries
Chapter 4: Existing guidance for the mining industry
Chapter 5: Case Studies of Human Systems Integration in Automated Mining
Chapter 6: Risk assessments for mining automation
By guest author Professor Maureen Hassall
Chapter 7: Human systems integration for mining automation
References
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