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The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: * The strategic understanding of value-based asset management in a company; * An operational definition of value, as a concept on the background of value-based asset management; * The identification of intelligent asset management, with the aim to frame a set of "tools" recommended to support the asset-related decision-making process over the asset lifecycle; * The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.
The fundamental motivation of this book is to contribute to the future advancement of Asset Management in the context of industrial plants and infrastructures. The book aims to foster a future perspective that takes advantage of value-based and intelligent asset management in order to make a step forward with respect to the evolution observed nowadays. Indeed, the current understanding of asset management is primarily supported by well-known standards. Nonetheless, asset management is still a young discipline and the knowledge developed by industry and academia is not set in stone yet. Furthermore, current trends in new organizational concepts and technologies lead to an evolutionary path in the field. Therefore, this book aims to discuss this evolutionary path, starting first of all from the consolidated theory, then moving forward to discuss: * The strategic understanding of value-based asset management in a company; * An operational definition of value, as a concept on the background of value-based asset management; * The identification of intelligent asset management, with the aim to frame a set of "tools" recommended to support the asset-related decision-making process over the asset lifecycle; * The emergence of new technologies such as cyber physical systems and digital twins, and the implications of this on asset management.
How well does your organization manage the risks associated with
information quality? Managing information risk is becoming a top
priority on the organizational agenda. The increasing
sophistication of IT capabilities along with the constantly
changing dynamics of global competition are forcing businesses to
make use of their information more effectively. Information is
becoming a core resource and asset for all organizations; however,
it also brings many potential risks to an organization, from
strategic, operational, financial, compliance, and environmental to
societal. If you continue to struggle to understand and measure how
information and its quality affects your business, this book is for
you. This reference is in direct response to the new challenges
that all managers have to face. Our process helps your organization
to understand the "pain points" regarding poor data and information
quality so you can concentrate on problems that have a high impact
on core business objectives. This book provides you with all the
fundamental concepts, guidelines and tools to ensure core business
information is identified, protected and used effectively, and
written in a language that is clear and easy to understand for
non-technical managers.
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