manufacturing facility with robots and conveyor belts

Discrete manufacturing industries are addressing challenges such as unpredictable equipment failures, high maintenance costs, and the need for maximizing asset utilization through asset performance management. By leveraging AI and ML for data analysis, these industries obtain critical insights into asset health and performance, which enable effective predictive maintenance strategies.

baggage claim in an airport
82 of manufacturers believe flexibility and the ability to dynamically shift production or product mix is critical to achieving growth goals
60 of capacity losses (after schedule losses) are due to equipment not being able to produce up to capacity
70 到 2026 年,新工业资产投资将全面融入智能设计功能
30 to 50+ years is the amount of time Industrial Intelligent Assets typically operate

将数据转化为洞察

资产绩效管理解决方案可以帮助制造商实现新的效率水平。 下面的示例网络图展示了如何将 Belden 硬件和软件与 AWS 和 Accenture 的产品相结合,将现场级数据转换为帮助管理资产性能所需的实时洞察。

Belden 的网络和数据解决方案将各种能源监控和消耗资产连接到能源管理应用程序。

我们可以共同提供以下好处:

Real-time visibility

Real-time asset visibility enables precise tracking, optimizing usage, and reducing downtime. This ensures efficient allocation and streamlined operations, enhancing productivity, cutting costs, and improving decision-making.

Intelligent optimization

By providing visibility into asset usage, asset operators can identify underutilized assets and optimize their allocation. This improves overall equipment effectiveness (OEE) and productivity.

Predictive maintenance

Product failure analysis and predictive maintenance. Analyze real-time and historical data to predict equipment failures and optimize maintenance strategies, improving asset efficiency.

Belden's Asset Performance Management (APM) enhances discrete manufacturing by shifting from reactive to proactive management. Leveraging AI and predictive analytics, it reduces downtime and costs, aligns with business goals, and improves ROI.