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Herausgeber: 
  • Adolfo Crespo Márquez
  • Vicente González-Prida
  • Carlos Alberto Parra Márquez
  • Cases on Optimizing the Asset Management Process 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  September 2021  
    Genre:  Wirtschaft / Recht 
     
    Asset Management Process / condition-based maintenance / criticality analysis / Digital Twins / Internet of Things (IoT) / IT Risk Management / Maintenance Management Model (MMM) / Physical Asset Maintenance
    ISBN:  9781799879435 
    EAN-Code: 
    9781799879435 
    Verlag:  Business Science Reference 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 286 mm / B 221 mm / D 30 mm 
    Gewicht:  1466 gr 
    Seiten:  484 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    It is critical to improve the asset management system implementation as well as economics and industrial decision making to ensure that a business may move smoothly internally. Maintenance management should be aligned to the activities of maintenance in accordance with key business strategies, which must be designed under the comprehensive approach of an asset management process. After transforming the priorities of the business into priorities of maintenance, maintenance managers will use their medium-team strategies to tackle potential weaknesses in the maintenance of the equipment in accordance with these objectives. Cases on Optimizing the Asset Management Process explains and summarizes the processes and the reference frame necessary for the implementation of the Maintenance Management Model (MMM). This book acts as an overview of the current state of the art in asset management, providing innovative tools and practices from the fourth industrial revolution. Presenting topics like criticality analysis, physical asset maintenance, and unified modelling language, this text is essential for industrial and manufacturing engineers, plant supervisors, academicians, researchers, advanced-level students, technology developers, and managers who make decisions in this field.

      



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