Centralizing Data Analysis for Leveragability and Effective Predictive Maintenance Decision Making

Description

Predictive (PdM) technology continues to advance and provide increasing value to industrial maintenance programs.

Now more than ever, the leveragability of knowledge is important with labor and talent shortages continuing to strain manufacturers as they struggle to find skilled technical talent.

Relying on local resources and talent in today’s shrinking labor market is not a sustainable strategy, whereas leveraging knowledge from a centralized source, provides manufacturers remote expertise and stability in the unstable market of today.

During this Tech Talk, you will be provided best practices and actionable take-aways including:

Automating predictive maintenance data collection through sensor technology
Centralizing analysis for prescriptive action
Leveraging subject matter expertise for collaborative resolution support
Utilizing predictive maintenance findings to optimize preventive maintenance enterprise-wide
Technology application and the migration to condition-based maintenance

Moderator and Subject Matter Experts:

Penelope Brown, Senior Content Director, Manufacturing Leadership Council
Erika Shuff, Operations and Support and Project Manager, Reliability 360® Technology Center, Advanced Technology Services (ATS)
Micah Statler, Director of Operations, Advanced Technology Services (ATS)