Digital Transformation in Industrial and Logistics Systems: Applications to Automotive & Aeronautical Supply Chains
暫譯: 工業與物流系統中的數位轉型:應用於汽車與航空供應鏈

Benazzouz, Touria, Dahbi, Samya, Benmoussa, Rachid

  • 出版商: Springer
  • 出版日期: 2026-02-17
  • 售價: $8,710
  • 貴賓價: 9.8$8,535
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3032185475
  • ISBN-13: 9783032185471
  • 相關分類: 管理與領導 Management-leadership
  • 海外代購書籍(需單獨結帳)

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商品描述

This book provides decision-makers, researchers, and practitioners with actionable insights to create intelligent, resilient, and human-centered industrial and logistics systems in complex and uncertain environments. By bridging advanced digital technologies with operational and organizational challenges, it provides concrete frameworks, models, and case studies applicable to real industrial contexts.

The originality of this book lies in its integrated perspective, combining Industry 4.0 and Industry 5.0 principles with artificial intelligence, data analytics, quality management, sustainability, and ethical considerations. Instead of addressing these dimensions separately, the book highlights how their synergy enhances performance, resilience, and responsible value creation, particularly in automotive and aeronautical supply chains.

Covering a wide range of topics from AI-driven decision support and forecasting to digital maturity, standards, circular economy practices, and energy transition, this book covers both strategic and operational levels. It is intended for academics, Ph.D. students, engineers, supply chain managers, and policy-makers seeking evidence-based approaches, methodological guidance, and practical tools to support digital transformation initiatives and future-oriented industrial and logistics systems.

商品描述(中文翻譯)

本書為決策者、研究人員和實務工作者提供可行的見解,以在複雜和不確定的環境中創建智能、韌性和以人為中心的工業及物流系統。通過將先進的數位技術與操作和組織挑戰相結合,本書提供了適用於真實工業情境的具體框架、模型和案例研究。

本書的獨特性在於其整合的視角,結合了工業4.0和工業5.0的原則,以及人工智慧、數據分析、品質管理、可持續性和倫理考量。本書不僅分別探討這些維度,而是強調它們的協同作用如何提升績效、韌性和負責任的價值創造,特別是在汽車和航空供應鏈中。

本書涵蓋從人工智慧驅動的決策支持和預測到數位成熟度、標準、循環經濟實踐和能源轉型等廣泛主題,涵蓋了戰略和操作層面。它旨在為學術界、博士生、工程師、供應鏈經理和政策制定者提供基於證據的方法、方法論指導和實用工具,以支持數位轉型倡議和面向未來的工業及物流系統。

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