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Process control of product quality.

G Venkatesan1

  • 1Institute of Electrical and Electronics Engineers, IEEE.

ISA Transactions
|October 30, 2003
PubMed
Summary

This study presents a method to control product quality by integrating automatic process control (APC) and statistical process control (SPC) techniques. The approach addresses challenges like process delay and dynamics for improved output consistency.

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Area of Science:

  • Industrial Engineering
  • Process Control
  • Quality Management

Background:

  • Controlling output product quality is crucial for manufacturing efficiency.
  • Existing methods like automatic process control (APC) and statistical process control (SPC) have limitations.
  • Process dynamics, dead time, and disturbances complicate control efforts.

Purpose of the Study:

  • To describe a method for controlling output product quality by integrating APC and SPC.
  • To address challenges in process control, specifically dead time and dynamics.
  • To achieve desired product quality through acceptable output variation.

Main Methods:

  • Application of engineering/automatic process control (APC) techniques.
  • Implementation of statistical process control (SPC) techniques.
  • Development and simulation of feedback control algorithms for dead-time processes.

Main Results:

  • Demonstrated possibility of controlling product variability through integrated APC and SPC.
  • Addressed challenges of feedback control stability, controller limitations, and dead-time compensation.
  • Achieved minimum variance (mean square error) control at the output.

Conclusions:

  • Integrating APC and SPC offers a viable method for controlling output product quality.
  • Effective control requires addressing process delay (dead time) and dynamics (inertia).
  • The presented method provides a framework for enhancing product quality consistency.

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