Value Based and Intelligent Asset Management, 1st ed. 2020 Mastering the Asset Management Transformation in Industrial Plants and Infrastructures
Coordonnateurs : Crespo Márquez Adolfo, Macchi Marco, Parlikad Ajith Kumar
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.
Adolfo Crespo Márquez is currently Full Professor at the School of Engineering of the University of Seville, and Head of the Department of Industrial Management. He holds a Ph.D. with Honors in Industrial Engineering from this same University. His research works have been published in journals such as Reliability Engineering and System Safety, International Journal of Production Research, International Journal of Production Economics, European Journal of Operations Research, Omega, Decision Support Systems and Computers in Industry, among others. Prof. Crespo is the author of nine books, the last six with Springer-Verlag (2007, 2010, 2012, 2014 & 2017) and Aenor (2016) about maintenance, warranty, supply chain and asset management. Professor Crespo is Fellow of ISEAM (International Society of Engineering Asset management) and leads the Spanish Research Network on Asset management and the Spanish Committee for Maintenance Standardization (1995–2003). He also leads the SIM (Sistemas Inteligentes de Mantenimiento) research group related to maintenance and dependability management and has extensively participated in many engineering and consulting projects for different companies, for the Spanish Departments of Defense, Science and Education as well as for the European Commission (IPTS). He is the President of INGEMAN (a National Association for the Development of Maintenance Engineering in Spain) since 2002.
Marco Macchi is currently Full Professor at Department of Management, Economics and Industrial Engineering of Politecnico di Milano. His teaching activity is in the area of production systems, industrial technologies, asset lifecycle management, operations and maintenance management, both to undergraduate and postgraduate students; he also regularly teaches for the doctorate program in Management Engineering, in the area of modeling and simulation of complex systems. His research interests are focused on several topics con
Introduces asset management and intelligent asset management systems
Describes how asset management is being transformed in the digital era
Provides practical methods that can be applied in business and industry
Date de parution : 08-2020
Ouvrage de 403 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 105,49 €
Ajouter au panierDate de parution : 07-2019
Ouvrage de 403 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 105,49 €
Ajouter au panierThèmes de Value Based and Intelligent Asset Management :
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