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利用人工智能优化汽车供应链.pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.P E X 3 0 5Automotive Supply Chain Optimization Using AI Travis Washington Digital InnovationsToyotaJorge MalibranManufacturing Industry LeadIBMPerminder SinghSenior

2、 Partner Solutions ArchitectAWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Supply Chain Industry ChallengeAutomotive Value Stream and ChallengesOur North Star:Real-Time,Predictive Supply ChainSupply Chain Data Fabric Building BlocksAWS Solution ArchitectureToyota Case StudyCa

3、ll To ActionAgenda 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Automotive Supply Chain ChallengeTariffsHigher Customer ExpectationsIncreased Product ComplexitySupply Chain Disruptions 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Cost of Disruptionof compa

4、nies hit by supply chain disruptions(Source:Gartner,June 2025)of manufacturers cite uncertainty from tariffs,expectations and complexity(Source:Gartner,June 2025)Financial impact of disruptions(Source:Gartner,June 2025)94%72%8%2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.The Au

5、tomotive Value Stream:Order to DeliveryPlan/ScheduleBuildQuality AssuranceDeliveryPre-Delivery InspectionOrderTransportation1234756Disconnected DataZero VisibilityLost Customer Trust 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.InconsistentError ProneData ChallengesManualSiloed

6、Disconnected ProcessFilesBatch HeavyMainframeAS400Legacy TechnologyProcessing Bottlenecks1234The Root Cause:Process,Data and Technology 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Our North Star:Real-Time Predictive Supply ChainAI-PoweredUnifiedReal-timeCustomer Centric 2025,A

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根据《Automotive Supply Chain Optimization Using AI》的内容,以下是全文关键点的概括: 1. **供应链挑战**:汽车供应链面临关税、客户期望和产品复杂性带来的不确定性,以及供应链中断的财务影响。 2. **价值流分析**:从订单到交付的流程中,存在数据孤岛、零可见性和客户信任缺失等问题。 3. **解决方案**:通过构建供应链数据平台,实现实时、预测性的供应链管理。 4. **数据平台构建块**:包括数据源、数据存储、数据集成、数据治理、数据访问和服务、供应链应用和智能工作流。 5. **AWS解决方案架构**:利用AWS服务实现实时数据采集、处理和分析。 6. **丰田案例研究**:通过AI技术优化物流网络,预测运输时间,提高客户体验。 7. **Agentic AI**:实现智能的供应链体验,包括即时可见性、主动延迟检测和智能替代车辆更换。
"供应链挑战,AI如何解?" "实时预测,供应链革新!" "丰田案例,AI优化供应链!"
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