Optimizing Decision-Making in Engineering (Hardcover)

Lingua: inglese

Editore: Taylor & Francis Ltd, London, 2026

1041163908 / 9781041163909

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Venditore AbeBooks dal 29 giugno 2022

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Hardcover. This comprehensive book explores the evolving landscape of decision-making processes for engineering and IT professionals in increasingly heterogeneous technological environments. It addresses critical gaps in current educational materials by examining how technological advancements, situational awareness challenges, humanmachine intelligence integration, and virtual uncertainties impact modern decision-making frameworks. The book provides a complete journey map of decision-making that connects theoretical foundations with practical applications, offering readers a structured approach to navigate complex adaptive systems in our data-driven society.Optimizing Decision-Making in Engineering: A Journey Mapping Perspective includes an in-depth exploration of cognitive and emotional engagements in decision-making, an analysis of how advanced design functionalities influence cognitive biases and heuristics, and an examination of decision-making under virtual conditions where physical touch is absent. It presents analytical tools such as decision trees, Bayesian networks, and multi-criteria decision-making models (AHP, TOPSIS) while incorporating emerging technologies like artificial intelligence, virtual/augmented reality, IoT, and big data analytics. Real-world scenarios, use cases, and strategic frameworks like the Cynefin framework and Rogers model provide a practical context for theoretical concepts.Designed for technology professionals, including CTOs, IT project managers, systems architects, UX directors, and engineering team leads, this resource equips product managers, business analysts, solution architects, and digital transformation consultants with enhanced decision-making capabilities for complex environments. This comprehensive guide delivers particular value for specialized roles such as AI ethics officers, human factors engineers, and digital experience strategists, providing frameworks applicable across autonomous systems, healthcare technology, immersive experiences, retail analytics, and advanced manufacturing operations. This book explores the decision-making processes for engineering and IT professionals in increasingly heterogeneous technological environments. It provides a map of decision-making that connects theoretical foundations with practical applications, offering readers a structured approach to navigate complex adaptive systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Codice articolo 9781041163909

Titolo
Optimizing Decision-Making in Engineering (Hardcover)
Autore
Zian Shah Kabir
Editore
Taylor & Francis Ltd, London
Anno di pubblicazione
2026
Condizione
new
Rilegatura
Hardcover
Lingua
inglese
ISBN 10
1041163908
ISBN 13
9781041163909

CitiRetail

Stevenage, Regno Unito

Venditore con 5 stelle

Venditore AbeBooks dal 29 giugno 2022

Tariffe di spedizione da Regno Unito a U.S.A.

ArticoloDa 7 a 14 giorni lavorativiDa 7 a 60 giorni lavorativi
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