TY - JOUR
T1 - Combining process knowledge for continuous quality improvement
AU - Liu, Xiaohe
AU - Dooley, Kevin J.
AU - Anderson, John C.
N1 - Funding Information:
This research has been partly supported by 3M Engineering Systems and Technology Laboratory, and Honeywell Solid State Electronics Center.
PY - 1995/12
Y1 - 1995/12
N2 - Quality improvement efforts often make use of various mathematical models that describe the relationships between quality characteristics and process factors. Such models typically come from a variety of sources: experiments, theory, on-line data analysis, expertise, and other process documents. These sources of knowledge are often distinct and separate, often yielding models with slightly different predictions, having different precision and validity. In this paper we explore alternatives in which different mathematical models can be integrated together into a single prediction that takes into account both model validity and model variability. Some guidelines for establishing and quantifying model validity are presented. The approach is demonstrated within the context of predicting surface finish in a machining process.
AB - Quality improvement efforts often make use of various mathematical models that describe the relationships between quality characteristics and process factors. Such models typically come from a variety of sources: experiments, theory, on-line data analysis, expertise, and other process documents. These sources of knowledge are often distinct and separate, often yielding models with slightly different predictions, having different precision and validity. In this paper we explore alternatives in which different mathematical models can be integrated together into a single prediction that takes into account both model validity and model variability. Some guidelines for establishing and quantifying model validity are presented. The approach is demonstrated within the context of predicting surface finish in a machining process.
UR - http://www.scopus.com/inward/record.url?scp=0029516641&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029516641&partnerID=8YFLogxK
U2 - 10.1080/07408179508936798
DO - 10.1080/07408179508936798
M3 - Article
AN - SCOPUS:0029516641
VL - 27
SP - 811
EP - 819
JO - IIE Transactions (Institute of Industrial Engineers)
JF - IIE Transactions (Institute of Industrial Engineers)
SN - 2472-5854
IS - 6
ER -