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埃森哲:2026人机协同工程重构研究报告:五大举措打造工程复利增长引擎(英文版)(27页).pdf

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1、Systemic AI at the root of manufacturing The new growth infrastructure for manufacturersperformanceReinventing for Human+AI Engineering 2Gtz ErhardtSenior Managing Director,Supply Chain and Engineering,EMEA Lead Jean CabanesSenior Managing Director,Industry and Enterprise,Industrials,EMEA Lead Linke

2、dInLinkedInAuthorsGtz Erhardt focuses on industrial strategies,digital and AI-powered transformations,performance improvement and new business models.He supports clients in designing programs for value chain reinvention by speeding up engineering cycle time,product launch and sustainable manufacturi

3、ng.He is known for a strong client focus,helping organizations boost profits,institutionalize process excellence and improve reliability,quality and throughput at scale.Jean Cabanes is a senior leader at Accenture,working with industrial clients to drive reinvention across complex products,systems a

4、nd process chains.He advises executive teams on reinvention through digital technologies,data and new ways of working.He is known for a strong client focus,helping organizations strengthen engineering effectiveness,speed and industrial performance at scale.Roland MayrSenior Managing Director,Industr

5、y and Enterprise,Industrials,Global LeadLinkedInRoland Mayr leads Accentures global Industrials industry,advising executive teams on reinvention with digital,AI and data across complex asset structures and process chains.With over three decades at Accenture,he brings deep automotive experience and h

6、as held senior leadership roles across the company.He is known for a strong customer focus,helping companies move beyond products to deliver relevant,meaningful and sustainable experiences.Andreas EgetenmeyerManager,Accenture Research,Industrials,EMEAJeff BrehmManaging Director,Supply Chain and Engi

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1. **工程面临转折点**:全球因文档、报告等非核心工作损失390亿美元年生产力;50%领导者认为验证软件发布是最大挑战。 2. **五大转型举措**: - 建立基于云的数字核心,实现单一数据源(仅4%企业实现端到端数字线程)。 - 运行V模型为连续证据系统,模型优先开发(预计AI提升20%生产力)。 - 自动化验证与合规,重塑AI增强型人才模型(59%高管难获AI人才)。 - 结构化合作伙伴协作,而非混乱对接。 3. **价值链整合**:工程需协调采购、制造、销售等环节,将工程从成本中心转为增长引擎。 4. **案例佐证**:西门子执行速度提升5倍,大众开发周期缩短30%。
工程如何转型? AI如何赋能工程? 工程如何增长?
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