A Bibliography of Process Capability Papers

Spiring, Fred; Leung, Bartholomew P.K.; Cheng, Smiley W.; Yeung, Anthony

doi:10.1002/qre.538

Cited by 125 publications

(70 citation statements)

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“…Different process capability indices have been proposed by different researchers. A detailed review of process capability indices can be seen in Kotz & Johnson [1], and a bibliography of process capability papers is found in Spiring, Leung, Cheng & Yeung [2] and Yum and Kim [3].…”

Section: Opsommingmentioning

confidence: 99%

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Process Capability Index-Based Control Chart for Variables

Adeoti¹,

Olaomi²

2017

SAJIE

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This paper proposes a process capability index-based control chart for variables using the Downton estimator with a specified Cp value. The proposed chart is able to address the issue of control and capability simultaneously. We also provide a control chart constant to construct the process capability index-based control chart. A numerical example is presented to demonstrate the application of the proposed chart, and the effect of non-normality is discussed. The result shows that the proposed control chart performs better in monitoring and assessing processes, and eliminates the usual twostage procedure reflected in the literature. OPSOMMING'n Prosesvermoë indeksgebaseerde beheerkaart word voorgestel vir veranderlikes met gebruik van die 'Downton' beramer met 'n gespesifiseerde Cp waarde. Die voorgestelde beheerkaart kan die kwessie rondom die beheer en vermoë gelyktydig aanspreek. 'n Beheerkaartkonstante word ook verskaf om die prosesvermoë indeksgebaseerde beheerkaart te skep. 'n Numeriese voorbeeld word voorgehou om die toepassing van die voorgestelde beheerkaart te illustreer. Die effek van nie-normaliteit word ook bespreek. Die resultaat toon dat die voorgestelde beheerkaart beter vertoon in die monitering en assessering van prosesse en dit elimineer die gewone twee stap prosedure wat in die literatuur gevind word.

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Section: Opsommingmentioning

confidence: 99%

“…Barnett, Mullen & Saw [13] showed that Downton's statistic is an unbiased estimator of . Let 1 , 2 , … … represent a random sample of size n from a normal distribution with mean and standard deviation ; that is, let ~( , 2 ) and the corresponding order statistic be denoted by (1) , (2) , … … ( ) where (1) ≤ (2) … … . .…”

Section: Downton Estimatormentioning

confidence: 99%

Process Capability Index-Based Control Chart for Variables

Adeoti¹,

Olaomi²

2017

SAJIE

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“…P rocess capability indices have been widely used in the manufacturing industry to provide quantitative measures on process potential and performance (see Borges and Ho 1 , Chen and Hsu 2 , Chen and Chen 3 , Ding 4 , Hoffman 5 , Kotz and Johnson 6 , Nahar et al 7 , Noorossana 8 , Pearn and Lin 9 , Perakis and Xekalaki 10 , Spiring et al 11 , Wu and Pearn 12 , Pearn and Wu 13 , Zimmer et al 14 and many others). In the manufacturing industry, many product characteristics are of one-sided specifications.…”

Section: Introductionmentioning

confidence: 99%

One-sided Process Capability Assessment in the Presence of Measurement Errors

Pearn

Liao

2006

Qual. Reliab. Engng. Int.

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In the manufacturing industry, many product characteristics are of one-sided specifications. The well-known process capability indices C PU and C PL are often used to measure process performance. Most capability research works have assumed no measurement errors. Unfortunately, such an assumption is not realistic even if the measurement is conducted using highly sophisticated advanced measuring instruments. Therefore, conclusions drawn regarding process capability are not reliable. In this paper, we consider the estimation and testing of C PU and C PL with the presence of measurement errors, to obtain adjusted lower confidence bounds and critical values for true process capability, which can be used to determine whether the factory processes meet the capability requirement when the measurement errors are unavoidable.

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“…See Ref. 42 and 47 for a bibliography of the recent papers. Papers dealing with PCIs have appeared in Computer Science, Industrial Engineering, Management Science, Operations Research, Quality Engineering, Statistics and TQM journals.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Cpm in the presence of measurement errors

Baral¹,

Anis²

2015

JSTA

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With the advent of Taguchi's loss function, the concept of target and sticking to the target to achieve better process performance has become widely accepted. In practice, while estimating process performance, the gauge measurement error is not taken into consideration. In the real world scenario this hardly happens since measurement errors cannot be avoided in most of the manufacturing processes. Ignoring this measurement error while estimating the process capability may often lead to unreliable/wrong decision about the capability of the process under study. Therefore, in this work we apply the method of Generalized Confidence Interval (GCI) to measure the process capability index in presence of measurement errors. In this study, an exhaustive set of simulation has been conducted to assess the performance of the GCI method in terms of expected value of generalized lower confidence limit ( ) and Coverage Probability (CP). The efficacy of dealing with the measurement error has been found satisfactory in this model. Finally it can be concluded that GCI method seems to be quite satisfactory for measuring process capability when the measurement errors are present; as well as when measurement error is negligible.

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A Bibliography of Process Capability Papers

Cited by 125 publications

References 1 publication

Process Capability Index-Based Control Chart for Variables

Process Capability Index-Based Control Chart for Variables

One-sided Process Capability Assessment in the Presence of Measurement Errors

Assessment of Cpm in the presence of measurement errors

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