Chapter 9. Process Improvement Through Statistical Control

  1. John Kieffer
  1. James C. Eckhart

Published Online: 26 MAR 2008

DOI: 10.1002/9780470294468.ch9

A Collection of Papers Presented at the 58th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 19, Issue 1

A Collection of Papers Presented at the 58th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 19, Issue 1

How to Cite

Eckhart, J. C. (1998) Process Improvement Through Statistical Control, in A Collection of Papers Presented at the 58th Conference on Glass Problems: Ceramic Engineering and Science Proceedings, Volume 19, Issue 1 (ed J. Kieffer), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470294468.ch9

Author Information

  1. Pilkington Libbey-Owens-Ford, Toledo, Ohio

Publication History

  1. Published Online: 26 MAR 2008
  2. Published Print: 1 JAN 1998

ISBN Information

Print ISBN: 9780470375563

Online ISBN: 9780470294468

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Keywords:

  • statistical control;
  • process improvement;
  • manufacturing organizations;
  • statistical process control;
  • operating philosophy

Summary

Attaining world-class competitiveness requires that organizations strive to produce consistent product and take proactive control of their processes, instead of simply reacting to situations. It is through the understanding and reduction of variation through a disciplined approach to process improvement that this will happen. The creation of a multifunctional project team that has the responsibility and authority to improve process stability, the state of statistical process control, and the capability of the process is required. Systems (including a real-time plant information system, a historical process and product database, and a statistical toolset) to support the improvement efforts are beneficial in tightly integrating the statistical control philosophy into the operations.