Using Advanced Analytics to Improve Manufacturing Performance, TAPPICon25

 


This paper provides a roadmap for leveraging the integration of modern technologies, including machine learning (ML), artificial intelligence (AI), and traditional troubleshooting tools to optimize mill operations, focusing on three critical areas:

  1. I. Control Loop Performance Monitoring (CLPM)
  2. II. Overall Equipment Effectiveness (OEE)
  3. III. Dynamic Modeling for Process Monitoring and What-If Analyses
By highlighting the opportunities in these areas and illustrating how a data-driven approach can lead to tangible improvements, this paper presents a clear path toward optimizing mill performance, reducing downtime, and achieving substantial cost savings.

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Author: David Zerr
Using Advanced Analytics to Improve Manufacturing Performanc
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