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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
工业控制和工厂自动化市场预计将从 2018 年的 1600 亿美元增长到 2024 年的 2695 亿美元,复合年增长率为 9.08%。
资料来源: 市场和市场
案例研究.
Case Study
AUDI AG 20% PRODUCTIVITY IMPROVEMENT
In the automotive industry, niche products are becoming more and more important. The automobile industry has changed considerably over the past few years. No doubt: to remain competitive, instant reaction to specific customer requests is of utmost importance. In a parallel to the growing individualization of our society, the range of models available from Audi has increased as well.
Case Study
Automotive Component Manufacturer Improves with Datonis IoT Solution
As a part of their Industry 4.0 initiative, the customer primarily wished to leverage IoT for maximizing operational efficiencies, productivity, reducing the energy footprints and maximizing capacity utilization. But there were several challenges at the outset:Firstly, the customer had multiple assembly lines with a diverse set of machines, systems and sensors, all communicating on different protocols. As such, primarily they needed a partner who could connect diverse set of assets on to a single platform and make use of underutilized ‘dark’ data.Secondly, the amount of data, data types and their applications was so vast, that the platform handling it, needed to be scalable and flexible.Lastly, Varroc faced the typical challenge of innovating in ‘Brownfield’ markets – wherein the real bottleneck is in integrating IoT in tandem with both the new and legacy equipment without any further CAPEX for asset substitution.
Case Study
Enabling RCM & TPM for Energy Sector
The customer company need a centric-view of all equipment & assets, so as to enable RCM (Reliability-Centered Maintenance) and TPM (Total Productive Maintenance) process. The customer's goal is to fully utilize the life-cycle of equipment and thus improving their OEE (Overall Equipment Effectiveness).