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A Weighting Multivariate Process Capability Index

2010 International Conference on System Science, Engineering Design and Manufacturing Informatization, 2010
Process quality ultimately decides on the quality of electronic products. Based on analyzing and improving process capability index (PCI), microelectronics process quality of electronic products may be effectively assured. Nowadays with the rapid development in microelectronics process, Quality evaluation of processes concerns more than one quality ...
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A multivariate process capability index model system

Journal of Semiconductors, 2011
This paper presents a systematic multivariate process capability index (MPCI) method, which may provide references for assuring and improving process quality levels while achieving an overall evaluation of process quality. The system method includes a spatial MPCI model for multivariate normal distribution data, MPCI model based on factor weight for ...
Shaoxi Wang, Danghui Wang
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A General Multivariate Bayesian Process Capability Index

The Statistician, 1996
Process capability analysis is designed to estimate the proportion of parts that do not meet engineering requirements in a stable production process. In this paper, we review and criticize the capability indices that are typically used in industry for this purpose, and we propose a general multivariate Bayesian capability index which contains the ...
Jose M. Bernardo, Telba Z. Irony
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A new multiple dependent state sampling plan based on the process capability index

Communications in statistics. Simulation and computation, 2019
We propose a new multiple dependent state sampling plan which comprises the features of existing multiple dependent state sampling plan and repetitive group sampling plan.
M. Aslam, S. Balamurali, C. Jun
semanticscholar   +1 more source

Study on process capability index improvement model

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011
This paper explained the development and the problems of process capability index; To explored the optimal ways of process capability index; To established process capability index model based on quality loss minimum.
null Baoguang Bai   +2 more
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Bootstrap confidence intervals of generalized process capability index Cpyk using different methods of estimation

Journal of Applied Statistics, 2019
One of the indicators for evaluating the capability of a process is the process capability index. In this article, we consider six frequentest estimation methods, namely, the method of maximum likelihood (ML), the method of least square (LS), the method ...
S. Dey, Mahendra Saha
semanticscholar   +1 more source

Multiresponse optimization using multivariate process capability index

Quality and Reliability Engineering International, 2010
AbstractRobust design is an efficient method for product and process improvement which combines experimentation with optimization to create a system that is less sensitive to uncontrollable variation. In this article, a simple and integrated modeling methodology for robust design is proposed.
Mahmoud I. Awad, Jamison V. Kovach
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Assessing the process capability index for non-normal processes

Journal of Statistical Planning and Inference, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A Bayesian estimator of process capability index

Journal of Statistics and Management Systems, 2006
Abstract Process capability and process performance index studies are to assess a process relative to specification criteria. Quantification of this measurement is often reported using various indices. One such index namely Cp has been considered in this paper.
Sharad Saxena, Housila P. Singh
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Estimating process capability indexes for autocorrelated data

Journal of Applied Statistics, 1998
Process capability indexes are widely used in the manufacturing industries and by supplier companies in process assessments and in the evaluation of purchasing decisions. One concern about using the process capability indexes is the assumption of the mutual independence of the process data, because, in process industries, process data are often ...
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