Dimensional variation reduction is critical to assure high product quality in discrete-part manufacturing. Recent innovations in sensor technology enable in-process implementation of laser-optical coordinate sensors and continuous monitoring of product dimensional quality. The abundance of measurement data provides an opportunity to develop next generation process control technologies that not only detect process change, but also provide guidelines respective of root cause identification. Given continuous product dimensional measurements, a critical step leading to root cause identification is the variance estimation of process variation sources. A few on-line variance estimators are available. The focus of this paper is to study the interrelationships and properties of the available variance estimators and compare their performance. An operating characteristics curve is developed as a convenient tool to guide the appropriate use of on-line variance estimators under specific circumstances. The method is illustrated using examples of dimensional control for a panel assembly process.
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March 2005
Technical Papers
A Comparison of Process Variation Estimators for In-Process Dimensional Measurements and Control
Yu Ding,
Yu Ding
Department of Industrial Engineering,
Texas A&M University
, College Station, TX 77843-3131
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Shiyu Zhou,
Shiyu Zhou
Department of Industrial and Systems Engineering,
University of Wisconsin-Madison
, Madison, WI 53706-1572
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Yong Chen
Yong Chen
Department of Mechanical and Industrial Engineering,
The University of Iowa
, Iowa City, IA 52242
Search for other works by this author on:
Yu Ding
Department of Industrial Engineering,
Texas A&M University
, College Station, TX 77843-3131
Shiyu Zhou
Department of Industrial and Systems Engineering,
University of Wisconsin-Madison
, Madison, WI 53706-1572
Yong Chen
Department of Mechanical and Industrial Engineering,
The University of Iowa
, Iowa City, IA 52242J. Dyn. Sys., Meas., Control. Mar 2005, 127(1): 69-79 (11 pages)
Published Online: March 27, 2004
Article history
Received:
May 16, 2003
Revised:
March 27, 2004
Citation
Ding, Y., Zhou, S., and Chen, Y. (March 27, 2004). "A Comparison of Process Variation Estimators for In-Process Dimensional Measurements and Control." ASME. J. Dyn. Sys., Meas., Control. March 2005; 127(1): 69–79. https://doi.org/10.1115/1.1870041
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