工厂运营可见性和智能
概述
可视化工厂运营数据是当今许多制造商面临的挑战。一些制造商今天正在推行的 IIoT 计划之一是提供工厂运营和机器健康状况的实时可见性。目标是提高制造效率。挑战在于组合和关联在性质、来源和生命周期方面差异很大的不同数据源。工厂运营可视性和智能 (FOVI) 旨在收集工厂车间生成的传感器数据、生产设备日志、生产计划和统计数据、操作员信息,并将所有这些信息和其他相关信息集成到云中。通过这种方式,它可以用来为生产设施带来可见性,分析和预测结果,并支持更好的改进决策。
适用行业
- 重型车辆
- 汽车
适用功能
- 离散制造
市场规模
案例研究.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Vehicle to Everything
Connectivity is empowering more intelligent interactions between consumers and companies. An innovative automaker wanted to design and build a working prototype of a connected vehicle platform to accelerate speed to market and help the company understand today's connected world.
Case Study
Getting the Torque Just Right Could Save Millions for Aerospace Companies
GE Aviation loses millions of dollars each year to errors made at key points during the assembly and overhaul of its engines. The costs show up in lost productivity, delays in testing, delays in customer deliveries, and the man-hours required to troubleshoot and correct faults. If errors arenʼt detected until after the engines are sent to customers, the repair costs exponentially increase.B-nuts are one such key manufacturing point. They play a critical role in aircraft engine fluid lines and hoses, providing a sturdy, reliable seal―but only if tightened and torqued properly. If not torqued properly, there will be a need for a maintenance do-over, cancelled flight, or even an in-flight shut down.