ABB供应DSPC174工控DCS系统控制处理主板

ABB供应DSPC174工控DCS系统控制处理主板

ABB供应DSPC174工控DCS系统控制处理主板

预测分析用于需求预测，这在COVID之后至关重要，因为供应链克服了波动性和波动性需求。预测分析还用于库存管理，根据地区或国家等具体情况优化库存水平。

此外，预测性维护有助于组织抢先预测机器停机时间，并确保持续运营。预测分析甚至被用于路线优化，以改善航运和物流。

供应链正在构建数字双胞胎，这是物理环境的虚拟表示，用于运行行为模拟。这需要端到端的数据集成，并帮助公司改善绩效跟踪、增强可见性、带来预测能力并实现自动化。数字双胞胎帮助企业改进决策，降低运营成本，加强产品和服务开发，克服运营瓶颈。

Predictive analytics is used for demand forecasting, which is critical after COVID as supply chains overcome volatility and volatile demand. Predictive analytics is also used for inventory management to optimize inventory levels based on specific circumstances such as regions or countries.

In addition, predictive maintenance helps organizations anticipate machine downtime and ensure ongoing operations. Predictive analytics is even being used for route optimization to improve shipping and logistics.

Supply chains are building digital twins, which are virtual representations of the physical environment for running behavioral simulations. This requires end-to-end data integration and helps companies improve performance tracking, increase visibility, bring predictive power, and automate. Digital twins help businesses improve decision making, reduce operating costs, enhance product and service development, and overcome operational bottlenecks.