Asset Condition, Information Systems and Decision Models (Paperback)

Joe E. Amadi-Echendu

ISBN 10: 1447158741 ISBN 13: 9781447158745
Editore: Springer London Ltd, London, 2014
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Paperback. 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. Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781447158745

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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.

Informazioni sull?autore:

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 of Technology, and positions at the ANU and the Universities of Wales and Aberdeen in the UK. Professor Willett is a member of the Institute of Chartered Accountants in England and Wales, and a past New Zealand President of the Accounting and Finance Association of Australia and New Zealand. He has published articles and books on statistical aspects of accounting measurement, international accounting, management accounting, auditing and other aspects of accounting. He is currently working on a number of projects relating to issues in the theory of accounting measurement, economic models and asset return, risk and valuation measurement in organizations and markets.

Joseph Mathew is the Chief Executive Officer of the Cooperative Research Centre in Integrated Engineering Asset Management (CIEAM) located Brisbane, Australia. He was previously Queensland University of Technology’s Head of School of Mechanical, Manufacturing and Medical Engineering, and Monash University’s Professor of Manufacturing and Industrial Engineering. He has also served as Executive Director of Monash’s Centre for Machine Condition Monitoring from 1993-1997. He has presented numerous invited lectures and addresses to professional societies and industrial organisations on engineering asset management, machine condition monitoring, and vibrations and noise control. He serves as Chairman of the Board of the International Society of Engineering Asset Management (ISEAM), Chairman of the ISO’s subcommittee ISO/TC 108/SC 5 on Condition Monitoring and Diagnostics of Machines and as General Chair for the World Congress on Engineering Asset Management (WCEAM).

Joseph Mathew is the Chief Executive Officer of the Cooperative Research Centre in Integrated Engineering Asset Management (CIEAM) located Brisbane, Australia. He was previously Queensland University of Technology’s Head of School of Mechanical, Manufacturing and Medical Engineering, and Monash University’s Professor of Manufacturing and Industrial Engineering. He has also served as Executive Director of Monash’s Centre for Machine Condition Monitoring from 1993-1997. He has presented numerous invited lectures and addresses to professional societies and industrial organisations on engineering asset management, machine condition monitoring, and vibrations and noise control. He serves as Chairman of the Board of the International Society of Engineering Asset Management (ISEAM), Chairman of the ISO’s subcommittee ISO/TC 108/SC 5 on Condition Monitoring and Diagnostics of Machines and as General Chair for the World Congress on Engineering Asset Management (WCEAM).

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Titolo: Asset Condition, Information Systems and ...
Casa editrice: Springer London Ltd, London
Data di pubblicazione: 2014
Legatura: Paperback
Condizione: new

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Joe E. Amadi-Echendu
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 248 pp. Englisch. Codice articolo 9781447158745

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Amadi-Echendu, Joe E.|Brown, Kerry|Willett, Roger|Mathew, Joseph
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Brings together a selection of articles from WCEAM to provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics Provides research to support the on-goi. Codice articolo 4185414

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Taschenbuch. Condizione: Neu. Asset Condition, Information Systems and Decision Models | Joe E. Amadi-Echendu (u. a.) | Taschenbuch | xiv | Englisch | 2014 | Springer London | EAN 9781447158745 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 104963800

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 248 pp. Englisch. Codice articolo 9781447158745

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9781447158745

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