TY - JOUR
T1 - Manufacturing quality density, control and maintenance
AU - Posner, Morton J.M.
AU - Tapiero, Charles S.
N1 - Funding Information:
This work was supported in part by the Natural Sciences and Engineering Research Council under grant A4374.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 1987/10
Y1 - 1987/10
N2 - The purpose of this paper is to define conceptually and operationally, a measure of quality density in manufacturing. This is expressed in terms of a manufacturing process propensity to ‘output’ units which are defectives, as a function of the manufactured production output, the manufacturing deterioration process, maintenance, quality control, and generally the risks a manufacturing process is subjugated to. Particularly, we assume that the production process induces ‘shocks’ which lead to poorer manufactured quality, while maintenance efforts are continually being employed to restore the process propensity to produce units of better quality. Quality control is used then to monitor the output quality of units produced. Using a methodology of level crossing in stochastic point processes, the stationary probability distribution of a manufactured output quality is defined. Applications to production quality management, combined quality and maintenance management, as well as quality control are considered. Finally, an exponential shock model is resolved analytically.
AB - The purpose of this paper is to define conceptually and operationally, a measure of quality density in manufacturing. This is expressed in terms of a manufacturing process propensity to ‘output’ units which are defectives, as a function of the manufactured production output, the manufacturing deterioration process, maintenance, quality control, and generally the risks a manufacturing process is subjugated to. Particularly, we assume that the production process induces ‘shocks’ which lead to poorer manufactured quality, while maintenance efforts are continually being employed to restore the process propensity to produce units of better quality. Quality control is used then to monitor the output quality of units produced. Using a methodology of level crossing in stochastic point processes, the stationary probability distribution of a manufactured output quality is defined. Applications to production quality management, combined quality and maintenance management, as well as quality control are considered. Finally, an exponential shock model is resolved analytically.
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U2 - 10.1080/00207548708919929
DO - 10.1080/00207548708919929
M3 - Article
AN - SCOPUS:0023438306
SN - 0020-7543
VL - 25
SP - 1511
EP - 1521
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 10
ER -