2024-12-01-麦肯锡-数字双胞胎_开启端到端供应链增长的关键（英）_7页_382kb

Digital twins are virtual replicas of supply chain systems used to simulate scenarios and optimize operations through AI, helping organizations address challenges like complexity, COVID-19 disruptions, and rising customer expectations. By enabling end-to-end visibility and predictive analytics, they improve demand forecasting, inventory management, and supply chain resilience, leading to benefits such as cost reductions, revenue growth, and faster delivery times. Common applications include optimizing network design, production planning, and fulfillment processes. Successful implementation requires data visibility, agile technology architecture, specialized talent, and iterative development of optimization modules, supported by clear road maps and strategic partnerships.

• Key Benefits: Derisk long-term planning and enhance operational efficiency through granular optimization, potentially reducing costs by up to 20% and improving service levels.
• Challenges Addressed: Counter labor shortages, supply-demand imbalances, and economic volatility by providing dynamic, prescriptive models.
• Implementation Tips: Prioritize use cases, ensure data readiness, develop internal expertise, and integrate with existing SCM tools for scalable adoption.