Copperberg:2025自主制造路线图:AI 赋能价值链重塑(英文版)(26页).pdf

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1、WHITE PAPERA Roadmap to Autonomous Manufacturing:Leveraging AI to reimagine the value chain ContentsThe Digital Thread and Data Cloud Connecting the Lifecycle19Chapter 2AI in Action Use Cases Across Industries25Chapter 3People and the Human-AI Partnership31Chapter 4Strategic Imperatives for OEMs37Ch

2、apter 5From Isolated Innovation to Integrated Intelligence45ConclusionAbout47A New Manufacturing Paradigm5IntroThe Four Pillars of Intelligent Manufacturing11Chapter 1Executive Summary3COPPERBERG&HCLTECH WHITE PAPERA ROADMAP TO AUTONOMOUS MANUFACTURINGManufacturing is entering a pivotal eranot just

3、defined by automation,but by the intelligent integration of data,systems and insights across the entire production lifecycle.The shift from traditional automation to AI-enabled operations is reshaping how Original Equipment Manufac-turers(OEMs)design,build and service their products.This white paper

4、 explores how OEMs can drive transformation by focus-ing on six critical pillars of operational excellence:Product Design,Engineering,Production,Inventory,Quality,and Maintenance.Each pillar represents a vital part of the manufacturing value chainand when connected through smart technologies,they un

5、lock powerful efficiencies and innovation potential.The enablers of this transformation include the Digital Twin,Digi-tal Thread,Industrial Data Lake and AI/ML,supported by founda-tional platforms such as CAD/CAM/CAE,PLM and ALM,MES and IoT.Together,these technologies create a unified,intelligent in

6、frastructure that bridges data silos,enhances visibility and empowers real-time,insight-driven decisions across the enterprise.Digital Twin provides a virtual,dynamic representation of physical assets and processes,enabling simulation,optimization and predictive interventions.Digital Thread ensures

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