How to address the challenges faced by manufacturers due to fluctuating market conditions, supply chain constraints, labor shortages and the rapid pace of the global industry
To adapt to fluctuating market conditions, supply chain constraints and other challenges, many manufacturers are leveraging technology such as automation, digital technologies and the IIoT to access data from various systems, processes and personnel, Automation World reported.
This integration of data aims to provide strategic insights that enhance decision-making. Given that the manufacturing industry generates an immense amount of data annually, it’s vital to efficiently capture and analyze this data to derive actionable insights.
AI emerges as a pivotal tool in this context, enabling manufacturers to process vast data sets swiftly and accurately, identifying patterns and predicting future states, ultimately improving operational efficiency and productivity.
A notable example Automation World discussed is a global engine manufacturer that improved engine quality through AI. Despite collecting process data for years, they were unable to predict engine failures, leading to costly damages and production delays. By implementing AI, they could predict engine failures, allowing for proactive measures to avoid them.
This white paper describes advantages of using advanced angle sensor technologies and focuses on best practices for correctly implementing non-contact and touchless angle sensors...
Learn how Beijer’s X2 extreme HMI thrives in extreme oil & gas environments—this webinar breaks down specs, certifications, and integration strategies for industrial engineers...
NSK integrates advanced automation and drive technologies to deliver high capacity, high speed, ultra-precise indexing and positioning in a compact, flexible linear actuator: ...
