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PROCESS CAPABILITY SENSITIVITY ANALYSIS
Quality Engineering, 1999(1999). PROCESS CAPABILITY SENSITIVITY ANALYSIS. Quality Engineering: Vol. 11, No. 4, pp. 587-592.
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Process capability analysis for an entire product
International Journal of Production Research, 2001Process capability indices (PCIs) are powerful means of studying the process ability for manufacturing a product that meets specifications. Several capability indices including C p , C pu , C pl and C pk have been widely used in manufacturing industry to provide common quantitative measures on process potential and performance.
K. S. Chen, M. L. Huang, R. K. Li
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Process Analysis and Process Capability
1991Process analysis is the painstaking observation of a process with the objective of distinguishing between as many important influences or groups of influences as possible and describing them as accurately as possible. In particular the noncorrectable, instantaneous process spread should be determined.
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Optimal process capability analysis for process design
International Journal of Production Research, 2008Conventional process capability analysis is used to measure and control the quality level of a production process in real exercises for on-line quality management. There has been a deficiency in this type of management; namely, the defects which occur in the production process are only passively detected and modified afterwards.
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The robustness of modern process capability analysis
Computers & Industrial Engineering, 1991Abstract Process Capability indices such as Cp and Cpk are assumed to have the properties of normality, independence, and stationarity. Many processes may not take on the properties described previously. The approach to and analysis of non-normal process capability indices are presented in this paper.
Timothy E. Bates, John R. English
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Multivariate nonnormal process capability analysis
The International Journal of Advanced Manufacturing Technology, 2009There is a great deal of interest in the manufacturing industry for quantitative measures of process performance with multiple quality characteristics. Unfortunately, multivariate process capability indices that are currently employed, except for a handful of cases, depend intrinsically on the underlying data being normally distributed.
S. Ahmad +3 more
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A managerial tool for process capability analysis
Quality and Reliability Engineering International, 1988AbstractMeasures of process capability are usually presented in straight numerical form. In this paper we present a technique which displays process capability measures graphically. We call this technique a Z‐Cp chart. It is a very simple and practical descriptive statistics tool which allows managers to see graphically how the different product lines ...
Donald S. Holmes, A. Erhan Mergen
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Process capability analysis—a robustness study
International Journal of Production Research, 1993Abstract The robustness of two popular process capability ratios, Cp and Cpk, when the random process being observed departs from normality is analysed. The distributions of estimated process capability ratios are derived and used as a basis for validation of large-scale simulation studies in an examination of departures from normality.
J. R. ENGLISH, G. D. TAYLOR
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A NEW APPROACH TO PROCESS CAPABILITY ANALYSIS
Quality Engineering, 1996In this article, we present a method for establishing an upper bound on the fraction nonconforming estimator for any unimodally distributed process. This bound can be used as a worst-case estimate of process capability. Our method does not use curve-fit..
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Lithographic process optimization using process capability analysis
SPIE Proceedings, 2003A capable process fulfills many requirements on e.g. depth of focus, exposure latitude, and mask error factor. This makes a full optimization complicated. Traditionally only a few parameters are included in the optimization routine, such as the focus-dose process window, while other parameters like the (NA,σ ) illumination conditions are fixed at a ...
Johannes van Wingerden +3 more
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