如何加速汽车企业向智能制造转型

With the right partnerships, OEMs and tier 1scan get back on track to meet their automationgoals despite ongoing disruptions. Executive summary Intelligent manufacturing is now an urgent imperative for automotive companies – both OEMsand tier 1s. Traditional manufacturing models cannot cope with trends such as electrification andmass customization. Nor can they tackle cost and efficiency pressures, or exploit the possibilities Intelligent manufacturing can address all of these challenges. However, it implies far-reaching Automotive companies are struggling to progress this transformation at sufficient speed,in part because of the unprecedented levels of disruption currently facing the industry.Disruptors range from increased complexity arising from product proliferation to regionalization Four steps can help companies overcome the obstacles and accelerate Rethink manufacturing strategy and processes aroundhyperautomation. To maintain competitiveness, companies should aim to achieve almostfully autonomous operations within the next two decades. This Rapidly build the data foundation needed for the journey. By fueling agentic AI, this foundation will facilitate autonomousdecision-making, predictive insights, and real-time optimization across Master the technological enablers that bring together thedigital and the physical. Intelligent manufacturing and hyperautomation depend on combining digitaltechnologies with machines to create adaptive processes that continuouslyimprove efficiency, precision, and safety. Doing so requires mastery of cutting- Create and leverage a collaborative partner ecosystem. To succeed with a transformation of this magnitude and complexity,companies must forge links with carefully chosen partner organizations.The right strategic partner can facilitate all aspects of the Capgemini is ideally positioned to support the journey to intelligent manufacturing. Weare already helping leading OEMs and tier 1s to achieve Industry 5.0 readiness, integrating Table of Introduction The “HOW” part: Four steps to accelerate the journey 1.Rethink manufacturing strategy and processes around hyperautomation2.Rapidly build the data foundation needed for the journey3.Master the technological enablers that bring together the digital and the physical 4How to accelerate automotive companies’ transition to intelligent manufacturingWhy work with Capgemini on intelligent manufacturing? Introduction Intelligent manufacturing is now an urgent imperative The automotive industry is at a crossroads. Currently, companies are experiencing escalatingcomplexity, with trends such as electrification and mass customization all demanding more In addition, companies are continuing to experience acute cost and efficiency pressures; globalcompetition and economic tightening, and geo-based regulatory measures around carbon- On top of that, the rapid emergence of new materials with enhanced properties is putting evenmore pressure on manufacturers, who must adapt their industrial frameworks to exploit the Traditional manufacturing models, built on considerable economies of scale, are no longersufficient to deal with these challenges. That makes intelligent manufacturing a strategic We suggest four technology pillars – aligned with Capgemini’s manufacturingtheme around IT, OT, and AI – to complement traditional approaches for the Extensive useof AI to supporthumans in Comprehensiveconnectivity. Physicalautomation. Appropriate IT.Alongside operationaltechnology, AI, andnetwork technology,comprehensivemodern IT is requiredto drive efficiency and Although automotivehas traditionallybeen ahead of otherindustries in termsof automation androbotics, there are stillmany opportunitiesfor deterministic,repetitive automation.As an example, robotic Connectingmachines, humans,and IT/OT systemswill make it possible The current state ofthe application of AI isfar away from the goalof fully autonomousfactories. However,trustable, explainableAI can bring immensevalue if used to supporthumans in daily tasks.For example, an AIagent – working with arobust manufacturingdata foundation – canautonomously definea production plan,taking into accountall the constraints on,and demands for, theproduction system. While digitalization is a key element of intelligent manufacturing, this point of view will argue that By adopting a rounded approach to intelligent manufacturing that uses technology to achievestrategic objectives, automotive OEMs and tier 1s will enhance their manufacturing efficiency and Industry disruptions are impedingprogress toward intelligent Current disruptions make it difficult to focus on To implement intelligent manufacturing successfully, manufacturers must get ready to transitionto Industry 5.0, where machines, products, and people are all intelligent and all aligned – and By achieving Industry 5.0 readiness, OEMs and tier 1s will gain the ability to integrate engineering,manufacturing, and supply c