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Human Systems Integration for Mining Automation is the professional's guide to understanding the issues, approaches and pitfalls in mining automation from a human-element perspective. A timely and fast-developing issue in mining and the wider minerals industry, this book delves into the design and deployment of automation.
List of contents
AcknowledgementsAbout the authorsList of ContributorsChapter 1: Human Systems Integration and Automated MiningChapter 2: Automation benefits and failure modesChapter 3: Best practice in other industriesChapter 4: Existing guidance for the mining industryChapter 5: Case Studies of Human Systems Integration in Automated MiningChapter 6: Risk assessments for mining automationBy guest author Professor Maureen HassallChapter 7: Human systems integration for mining automationReferences
About the author
Professor Robin Burgess-Limerick is a Professorial Research Fellow in the Minerals Industry Safety and Health Centre at the University of Queensland in Australia. Robin is a past-President and Fellow of the Human Factors and Ergonomics Society of Australia. He is the second 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).
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.
Summary
Human Systems Integration for Mining Automation is the professional’s guide to understanding the issues, approaches and pitfalls in mining automation from a human-element perspective. A timely and fast-developing issue in mining and the wider minerals industry, this book delves into the design and deployment of automation.
