Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: Buchpark, Trebbin, Germania
EUR 91,94
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Seiten: 484 | Sprache: Englisch | Produktart: Bücher | 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.
Condizione: New. pp. 356.
Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 232,66
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Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 232,64
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Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 251,48
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Aggiungi al carrelloCondizione: New. pp. 356 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 265,16
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 242,14
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 255,52
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: Business Science Reference, 2021
ISBN 10: 1799879437 ISBN 13: 9781799879435
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 315,76
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.