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Record Nr. |
UNINA9910841871203321 |
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Autore |
Yazdi Mohammad |
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Titolo |
Advances in Computational Mathematics for Industrial System Reliability and Maintainability / / by Mohammad Yazdi |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (201 pages) |
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Collana |
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Springer Series in Reliability Engineering, , 2196-999X |
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Disciplina |
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Soggetti |
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Production management |
Industrial engineering |
Production engineering |
Artificial intelligence |
Mathematical models |
Engineering mathematics |
Production |
Industrial and Production Engineering |
Artificial Intelligence |
Mathematical Modeling and Industrial Mathematics |
Engineering Mathematics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction to Computational Mathematics in Industrial Systems -- Mathematical Models for Industrial System Reliability -- Maintenance Strategies and Optimization Techniques -- Computational Tools and Techniques for Reliability and Maintainability -- Reliability-Centered Design and System Resilience -- Integration of Computational Mathematics in Industrial Decision-Making -- Integration of IoT and Edge Computing in Industrial Systems -- Application of Quantum Computing in Reliability Analysis -- Digital Twins and Virtual Prototyping for Industrial Systems -- Augmented Reality (AR) and Virtual Reality (VR) in Maintenance Training -- Synthesizing Computational Mastery and Industrial Evolution - A Comprehensive. . |
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Sommario/riassunto |
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This book is a comprehensive exploration of computational |
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mathematics and its impact on enhancing the reliability and maintainability of industrial systems. With its careful blend of theoretical foundations, practical applications, and future perspectives, this book is a vital reference for researchers, engineers, and professionals seeking to optimize industrial systems' performance, efficiency, and resilience. |
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