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Value Based and Intelligent Asset Management [electronic resource] : Mastering the Asset Management Transformation in Industrial Plants and Infrastructures / edited by Adolfo Crespo Márquez, Marco Macchi, Ajith Kumar Parlikad.

Contributor(s): Crespo Márquez, Adolfo [editor.] | Macchi, Marco [editor.] | Parlikad, Ajith Kumar [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XXIV, 403 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030207045.Subject(s): Security systems | Production management | Computer-aided engineering | Manufactures | Industrial Management | Security Science and Technology | Production | Computer-Aided Engineering (CAD, CAE) and Design | Machines, Tools, Processes | Industrial ManagementAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621 Online resources: Click here to access online
Contents:
Part I: Long Term Vision for Proper Assets Management -- Part II: Focusing on Value-Based Assets Management -- Part III: Advances in Operational Decision Making – CBM/PHM -- Part IV: Emerging Intelligent Assets Management Processes.
In: Springer Nature eBookSummary: 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. .
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Part I: Long Term Vision for Proper Assets Management -- Part II: Focusing on Value-Based Assets Management -- Part III: Advances in Operational Decision Making – CBM/PHM -- Part IV: Emerging Intelligent Assets Management Processes.

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. .

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