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Another Look at the Process Capability Index
Quality and Reliability Engineering International, 2006Process capability indices (PCIs) have been widely used in manufacturing industries. In this paper, we take a very specific view that a proper value of the process capacity index (PCI) represents the true yield of the process. Following this logic, a universal PCI, Cy, is proposed and derived.
Min-Te Chao, Dennis K. J. Lin
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A process capability index for discrete processes
Journal of Statistical Computation and Simulation, 2005Perakis and Xekalaki 2002, A process capability index that is based on the proportion of conformance. Journal of Statistical Computation and Simulation, 72(9), 707–718. introduced a process capability index that is based on the proportion of conformance of the process under study and has several appealing features.
Michael Perakis, Evdokia Xekalaki
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A robust process capability index
Communications in Statistics - Simulation and Computation, 1998The existing process capability indices (PCI's) assume that the distribution of the process being investigated is normal. For non-normal distributions, PCI's become unreliable in that PCI's may indicate the process is capable when in fact it is not. In this paper, we propose a new index which can be applied to any distribution.
Arthur B. Yeh, Sumankumar Bhattcharya
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A practical implementation of the process capability index
Journal of Statistics and Management Systems, 2007Summary: The generalization \(C_{pm}^{\prime\prime}\), a modification of the process capability index \(C_{pm}\), not only takes the proximity of the target value into consideration but also takes into account the asymmetry of the specification limits.
Lin, P. C., Chung, Y. T.
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Distributions of the Estimated Process Capability Index Cpk
Economic Quality Control, 2003Summary: Process capability indices \(C_{p}\) and \(C_{pk}\) have been widely used to provide numerical measures on process potential and process performance. While \(C_{p}\) measures process variation relative to the specification tolerance, which only reflects process potential, \(C_{pk}\) considers process variation as well as process centering ...
Lin, G. H., Pearn, W. L.
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On Developing Optimal Process Capability Index
International Journal of Quality & Reliability Management, 1992The process capability indices are used to assess the ability of a process to meet the present specification limits. These indices provide an easily understood qualification of a process performance. A fixed value for an ongoing process capability index is generally used. Minimization of statistical process control costs can be achieved by selecting an
Abdul Raouf, Zulfiqar Ali
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The process-oriented multivariate capability index
International Journal of Production Research, 2005Recent literature has proposed multivariate capability indices, but does not suggest a method for measuring quality characteristics in a way that links production irregularities directly to their causes. Our objective is to present a new approach to multivariate capability indices that uses process-oriented basis representation (POBREP) which allows ...
E.J. Foster * +4 more
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Structured Indexing of Process Capability Data
Volume 3: 7th Design for Manufacturing Conference, 2002Process capability data can aid a design through ensuring the part tolerances are achievable with the current manufacturing capability. Many companies want to store process capability data in databases to make it available to all engineers. The success of a process capability database is highly dependent on the design of its structure and a method to ...
Daniel Kern, Anna Thornton
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ESTIMATION OF PROCESS CAPABILITY INDEX FOR CONCENTRICITY
Quality Engineering, 1997Concentricity of any hollow circular or cylindrical job is a critical quality characteristic whose variation pattern can be explained by an extreme value distribution. Estimation of the process capability index is a prerequisite for control and improvem..
Ashok Sarkar, Surajit Pal
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A Nonparametric Multivariate Process Capability Index
International Journal of Modelling and Simulation, 2001AbstractFor the multivariate manufacturing processes, tremendous difficulties are often encountered when one attempts to measure the process capability by directly extending the univariate approach, that is, comparing the specification limits (tolerance zones) with the actual process spread. In fact, the existing multivariate process capability indices
A.B. Yeh, H. Chen
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