Carl Frahme

Carl Frahme is president of Frahme Consulting Services, Inc. and has over 35 years of experience in many aspects of the ceramic industry. He co-founded the Ceramic Correspondence Institute (CCI) in 1972 and remains active as an instructor and course author. He actively consults in the area of statistical process control and is author of the CCI course Statistical Process Control for Ceramics and Glass. He holds a Ph.D. in ceramic engineering from Rutgers - The State University and a B.S. in metallurgical engineering from Case Institute of Technology (now Case Western Reserve). Dr. Frahme is a member and fellow of the American Ceramic Society and a member of the National Institute of Ceramic Engineers.


Process Control: The Role of Technology

New technologies can result in increased production rates, lower labor input, improved product properties and performance, lower unit costs, lower scrap rates, and improved yields in downstream processing.
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PROCESS CONTROL: Correlation Analysis in Ceramic Processing

Control charts can tell us whether processes-as characterized by various property or process measurements-are in control, drifting or out of control. However, the charts can't tell us much of anything about the relationships between process properties or variables.
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Putting Control Charts to Work

If a company is not using control charts, it is unlikely that significant or consistent control of its manufacturing processes exists.
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The Control Chart

Arguably the most important graphical aid for process control is the control chart.
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Process Control: Manage for Quality—Profits Will Follow

A key part of process control is quality control, and this requires a commitment on the part of management to the right philosophies regarding quality.
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Process Control: An Introduction to Statistics

The heart and soul of statistical process control is the use of statistical analysis to characterize processes and properties.
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Process Control: Basic Process Control Concepts

The basic functions of statistical process control (SPC) include the use of statistical tools to characterize processes, determine their inherent variability, monitor whether or not the processes are in control, and ultimately optimize processes and their control.
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Process Control: Building Profits and Growth with Statistical Process Control

Statistical process control is a tool that can help manufacturers achieve superior product quality and value, excellent customer service, very efficient manufacturing and cutting edge technology.
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