Industrial Process Optimization

Today’s manufacturers must constantly respond a marketplace that anticipates new products that bring better quality and value. Processes such as testing, quality control, and environmental compliance can be improved through finding and fixing causes of poor performance. In molding and metal forming there are many variables such as die geometry, lubricants, release agents, quenches, and heat treatments that affect final part dimensions. Complex variable interactions can create tolerance stack up in machining, joining, and assembly.  Data mining allows technologists to visualize how multiple variables interact, and then predict how to best minimize problems and optimize processes.

 

ADMi experience in using data mining to optimize industrial processes include a polymer film manufacturer and an aluminum producer.  Clients cannot be named due to confidentiality agreements.

 Related White Papers and Publications
Data Mining Possibilities in Manufacturing - An ADMi white paper
 

Continuous Emissions Monitor Systems (CEMS) vs. Predictive Emissions Monitor Systems (PEMS) – An ADMi white paper 

 

PEMS Examples – An ADMi white paper

 

Case Study: Polymer Film Manufacturer

 

  

 

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