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This textbook deals with engineering, science, technical, legal, financial, ICT, logistics and people management topics necessary for managing engineered assets such as all man-made tools, gadgets, buildings, equipment, machines, infrastructure, large-scale physical and industrial facilities and systems which pervade all sectors of industry. By coalescing concepts, principles, practices, and practical issues from the relevant multi-disciplines, the book addresses the body of knowledge required for managing engineered assets in the 4IR and Society 5.0 era and beyond. The book is written for: Scholars and students who intend to strengthen or acquire knowledge about the concepts, principles, and practice of managing engineered assets; Managers of engineered assets in both the public and private sectors who aim to improve asset management practice for their organisational purposes and missions; Policymakers and regulators in order to improve policymaking, governance, assessment and evaluation frameworks on the management of engineered assets; The broader audience concerned about the sustainable management of engineered assets that constitute our built environment and provide the means for industry and livelihood.

Methodology of economics --- Mathematics --- Business policy --- Planning (firm) --- Production management --- Business management --- Business economics --- financieel management --- industrie --- mathematische modellen --- risk management --- wiskunde

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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.

Computer-aided design -- Congresses. --- Engineering -- Methodology. --- Microelectronics -- Design -- Congresses. --- Microelectronics -- Simulation methods -- Congresses. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Industrial engineering. --- Industrial management. --- Assets (Accounting) --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management engineering --- Simplification in industry --- Management --- Engineering. --- Management. --- Information technology. --- Business --- Finance. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering Economics, Organization, Logistics, Marketing. --- Innovation/Technology Management. --- Finance, general. --- Quality Control, Reliability, Safety and Risk. --- IT in Business. --- Data processing. --- Industrial organization --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Economy, Engineering --- Engineering economics --- Funding --- Funds --- Economics --- Currency question --- Electronic data processing --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Administration --- Industrial relations --- Organization --- Construction --- Industrial arts --- Prevention --- Asset requirements --- Engineering --- Value analysis (Cost control) --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Industrial safety --- Systems engineering --- Business—Data processing.

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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.

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Definitions, Concepts and Scope of Engineering Asset Management, the first volume in this new review series, seeks to minimise ambiguities in the subject matter. The ongoing effort to develop guidelines is shaping the future towards the creation of a body of knowledge for the management of engineered physical assets. Increasingly, industry practitioners are looking for strategies and tactics that can be applied to enhance the value-creating capacities of new and installed asset systems. The new knowledge-based economy paradigm provides imperatives to combine various disciplines, knowledge areas and skills for effective engineering asset management. 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. Definitions, Concepts and Scope of Engineering Asset Management will be of interest to researchers in engineering, innovation and technology management, as well as to managers, planners and policy-makers in both industry and government.

Facility management -- Congresses. --- Industrial engineering -- Congresses. --- Industrial management -- Congresses. --- Life cycle costing -- Congresses. --- Maintenance -- Congresses. --- Plant engineering -- Congresses. --- Reliability (Engineering) -- Congresses. --- Risk management -- Congresses. --- Industrial engineering --- Industrial management --- Assets (Accounting) --- Maintenance --- Reliability (Engineering) --- Risk management --- Life cycle costing --- Civil & Environmental Engineering --- Mechanical Engineering --- Engineering & Applied Sciences --- Civil Engineering --- Industrial & Management Engineering --- Management information systems. --- Industrial management. --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Management --- Engineering. --- Management. --- Finance. --- Engineering economics. --- Engineering economy. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering Economics, Organization, Logistics, Marketing. --- Innovation/Technology Management. --- Finance, general. --- Quality Control, Reliability, Safety and Risk. --- Business --- Industrial organization --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Economy, Engineering --- Engineering economics --- Funding --- Funds --- Economics --- Currency question --- Administration --- Industrial relations --- Organization --- Construction --- Industrial arts --- Technology --- Prevention --- Sociotechnical systems --- Information resources management --- Communication systems --- System safety. --- Safety, System --- Safety of systems --- Systems safety --- Industrial safety --- Systems engineering