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
Schneider Automation PLCs
Schneider Automation wanted a solution to its PLCs on the factory floor so that they can meet cost target for manufacturing systems. The challenges were that the solution needed to connect smaller PLCs and embedded devices that have limited storages or processing capacities.
Case Study
IIC - Factory Automation Platform as a Service (FA-PAAS) Testbed
In recent years, amid increasingly intense global competition in the manufacturing industry, there has been a growing demand for more rapid product development and market introduction, quality improvements and shorter lead times in order to quickly respond to the rapidly changing market environments and management environments through the introduction of new technologies and collaborations between companies. In this backdrop, there has been a growing expectation for overall optimization that uses data related to manufacturing in the increasingly global supply chain to connect the front lines of manufacturing with management, suppliers, and customers. This in turn has given rise to a need for secure connections between a variety of devices in FA environment and cutting-edge IT services (e.g., Big Data and the cloud) and for the accelerated development of applications in the field of next-generation factories connecting business-to-business (B2B) applications unleashing real economic value to effectively compete in the global marketplace.
Case Study
Public Sector (CLC)
CLC heavily relied on manual paper-based systems to manage their mission-critical processes. As a result these processes were time consuming, invisible and unproductive driving the organisation to seek company specific process solutions. As Roger Barnes, Manager of CLC's mining activities notes, “The risks associated with this included the lack of integration with the data sets and tripping over statutory deadlines, so things that were supposed to happen at a certain time didn't always happen because we'd lose track of where they were at.” The vehicle booking process in particular required visibility as the organisation maintains more than 80 vehicles, each of which travels great distances per year. Understanding what kind of return the vehicles provided and at the same time managing occupational health and safety requirements were constant challenges for CLC.