Results 261 to 270 of about 54,558 (298)

Functional Process Capability Indices for Circular Profile

Quality and Reliability Engineering International, 2013
Profile is a relation between one response variable and one or more explanatory variables that represent quality of a product or performance of a process. On the other hand, process capability indices are measures to help practitioners in improving the processes to satisfy the customer's expectations.
Ramezan Nemati Keshteli, Reza Baradaran Kazemzadeh, Amirhossein Amiri, Rassoul Noorossana   +3 more
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Squared Error Loss of Process Capability Indices

Economic Quality Control, 2001
In this paper, we extend Johnson's work (2) of formulating the relationship between process capability indices (PCI) and expected squared error losses. Moreover, a comparison is made between the expected squared error loss of PCI under the specified capability index value.
Chen, Chung-Ho, Chou, Chao-Yu
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A systematic look at the gamma process capability indices

European Journal of Operational Research, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Piao Chen, Zhi-Sheng Ye 0001
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Fuzzy process capability indices with asymmetric tolerances

Expert Systems with Applications, 2011
Process performance can be analyzed by using process capability indices (PCIs), which are summary statistics to depict the process location and dispersion successfully. Traditional PCIs are generally used for a process which has a symmetric tolerance when the target value (T) locates on the midpoint of the specification interval (m).
Ihsan Kaya, Cengiz Kahraman
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Dynamic Process Capability Indices

Asian Journal on Quality, 2002
Process capability indices as an important kind of indices are intended to provide single‐number assessments of the inherent process capability to meet specification limits on quality characteristic(s) of interest. In this paper the condition for the application of process capability indices is analyzed.
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Process capability indices for a regularly adjusted process

International Journal of Production Research, 2002
Process capability indices are widely used in industry to achieve and maintain a high-quality level of manufactured items. The successful application of process capability indices requires the process to be stationary. This is not the case for trended processes with regular adjustment, which are very common in manufacturing processes.
Xie, M., Tsui, K.L., Goh, T.N., Cai, D.Q.   +3 more
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A study of multivariate process capability indices in manufacturing processes

2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2015
Process capability indices are assumed as an important tool for measurement of performance of a manufacturing process [1]. Single quality variable is considered in case of univariate process capability indices (UVPCI) for example Cp, Cpk and Cpm where as multiple quality variables are considered in multivariate process capability indices (MVPCI) [1, 2].
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Process capability indices

The thesis is introduced and studied the initially capability indices and their youngest indices which appeared for the improvement of capability indices. The majority of the work refers to one-dimensional characteristics of normal distribution, but there is an important reference in multi-dimensional of normal data. In the first chapter we will define
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Sequential testing of process capability indices

Journal of Statistical Computation and Simulation, 2012
A Process Capability Index (PCI) is a numeric summary that compares the behaviour of a product or process characteristics with engineering specifications. We propose a sequential procedure for testing whether two processes are equally capable by using the PCI (C pm).
Abdulkadir Hussein, S. Ejaz Ahmed, S. Bhatti   +2 more
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Capability indices for processes with asymmetric tolerances

Journal of the Chinese Institute of Engineers, 2001
Process capability indices (PCIs) for processes with symmetric tolerances have received substantial research attention. But, PCIs for processes with asymmetric tolerances have been comparatively neglected. Recently, Boyles (1994) reviewed the existing PCI literature and proposed several new indices to handle processes with asymmetric tolerances.
Kuen‐Suan Chen, Wen‐Lee Pearn
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