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Herausgeber: 
  • Akhtar Kalam
  • Yu-Chen Hu
  • Udit Mamodiya
  • Accelerating Product Development Cycles With Digital Twins and IoT Integration 
     

    (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:  Mai 2025  
    Genre:  Wirtschaft / Recht 
     
    Algorithms / Blockchain / Computational Engineering / Cybersecurity / Digital Twins / Energy Engineering / Environmental Monitoring / ethics and law
    ISBN:  9798337320281 
    EAN-Code: 
    9798337320281 
    Verlag:  IGI Global 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 286 mm / B 221 mm / D 37 mm 
    Gewicht:  1762 gr 
    Seiten:  606 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    In today's market, accelerating product development cycles helps businesses gain a competitive edge and meet consumer demands. The integration of digital twins and Internet of Things (IoT) technologies has emerged as a transformative solution, enabling organizations to streamline their design, testing, and production processes. Digital twins allow real-time simulation and monitoring, providing valuable insights into performance, potential issues, and design optimizations. When coupled with IoT businesses can gather continuous feedback throughout the product lifecycle. This accelerates innovation, enhances product quality, and minimizes costs by identifying inefficiencies. By leveraging these technologies, companies can optimize their development cycles and deliver smarter, more reliable products to meet the needs of the marketplace. Accelerating Product Development Cycles With Digital Twins and IoT Integration explores the transformative potential of cutting-edge digital twin technologies in advancing data analytics and the Internet of Things (IoT). It provides a comprehensive analysis of how digital twins enable real-time monitoring, predictive insights, and enhanced decision-making by bridging the physical and digital worlds. This book covers topics such as computational engineering, algorithms, and blockchain, and is a useful resource for business owners, managers, computer engineers, academicians, researchers, and data scientists.

      



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