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德勤×MHI:2026年供应链创新行动实战手册(英文版)(35页).pdf

上传人: 小*** 编号:1225105 2026-05-06 35页 2.53MB

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1、TOP SUPPLY CHAIN TRENDSRanked trends based on impact to operationsTOP SUPPLY CHAIN CHALLENGESTop 5 company challenges rated as a major challengeADOPTION BARRIERSTop 3 company barriers to adopting technologiesAI USE IN SUPPLY CHAINCurrent or predicted uses of AI within 2 yearsADOPTION TRENDSPredicted

2、 adoption of technologies within 5 yearsWithin 5 yearsIn-use today53%Artificial IntelligenceAdvanced AnalyticsInternet of Things/SensorsRobotics&AutomationWearable&MobileTechnologyAutonomous Vehicles&DronesHumanoid RoboticsCloud Computing IMPACT OF TECHNOLOGIESPotential to disrupt the industry REWIR

3、ING THE FUTURE2026 MHI Annual Industry Report Key FindingsA SUPPLY CHAIN PLAYBOOK FOR INNOVATIONArtificial IntelligenceAdvanced AnalyticsInternet of Things/SensorsRobotics&AutomationWearable&MobileTechnologyAutonomous Vehicles&DronesHumanoid RoboticsCloud Computing 41%47%38%54%40%35%28%16%4%48%31%37

4、%38%41%34%28%70%64%53%53%47%47%45%43%Enhancing demand/inventory optimizationOptimizing logistics/transportation routesStreamlining supplier and procurement processesDetecting and mitigatingrisk in real timeAutomating decision-making in operationsAccelerating design/prototyping with digital twinsPers

5、onalizing customer experiences/order fulfillment33%Improving predictive maintenance/equipment reliability30%27%26%24%23%23%20%Talent acquisition&workforce challengesSupply chain synchronization&visibilityMeeting evolvingcustomer demandsManaging cyber risks&competitive pressures58%Accurate forecastin

6、g&inventory management48%46%42%42%CYBERSECURITY CONCERNSLACK OF CLEAR BUSINESS CASELACK OF BUDGET40%36%30%12345Economic uncertainty&inflationWorkforce&talent shortagePace of technology adoptionSupply chain visibility,agility,&resiliencyCybersecurity and data security28%not leveraging AI technologies

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1. **核心挑战**:人才短缺(90%企业受影响,58%视为重大挑战)、网络安全风险(88%)、需求预测与库存管理(48%)是供应链主要挑战。 2. **技术趋势**:AI被视为最具颠覆性技术(48%认为影响显著或变革性),其次是机器人与自动化(39%);5年内AI采用率预计从41%升至53%。 3. **应用场景**:AI主要用于优化需求/库存(33%)、物流路线(30%)及风险管控(27%);自动化技术如机器人、无人机采用率将显著提升。 4. **投资方向**:56%企业计划增加创新投入,重点投向AI与机器人(提升效率、降低成本);但缺乏商业案例(20%)和预算(29%)是主要 adoption 障碍。 5. **未来展望**:供应链需向“智能编排”转型,整合AI、自动化与数据,实现端到端敏捷性与韧性。
AI如何颠覆供应链? 自动化成本如何控制? 人才短缺怎么办?
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