Springer Asset Condition, Information Systems and Decision Models: 2 (Engineering Asset Management Review, 2)

Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China. Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government. From the Back Cover Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, China. Asset Condition, Information Systems and Decision Models will be of particular interest to finance, maintenance, and operations personnel whose roles directly affect the capability value of engineering asset base, as well as asset managers in both industry and government. About the Author Joe E. Amadi-Echendu works in the Graduate School of Technology Management at the University of Pretoria, Pretoria, South Africa. Kerry Brown is the Mulpha Chair in Tourism Asset Management and Director of the Centre for Tourism, Leisure and Work at Southern Cross University. Kerry is an editorial board member of the International Journal of Small Business and Globalization, the Journal of Organizational Change Management and the Journal of Management and Organisation. Professor Brown is an Executive Board Member of the International Society for Public Management and, Executive Board Member and Founding Fellow of the International Society for Engineering Asset Management. She was recently awarded an Australia and New Zealand Academy of Management Research Fellowship (2009-2011). Her principal research areas are collaboration, networks and industry clusters; capability, strategy, management and policy for infrastructure and asset management; work-life balance and leisure; public sector management and policy; government-business relations; government-community relations and employment relations.   Roger Willett is Professor and Head of the Department of Accountancy and Business Law at the University of Otago, New Zealand. Roger has held Chairs at the University of Wollongong (Dubai) and Queensland University o