Statistical Quality Control

Chandra, M. Jeya

doi:10.1201/9781420038675

Cited by 67 publications

(40 citation statements)

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“…The exponentially weighted moving average method (EWMA; Chandra, 2001;Roberts, 1959) is a statistical quality control method that can detect shifts in performance as RTs increase. A cutoff threshold is set where the performance is judged to be above chance level.…”

Section: Appendix a Outlier Treatment Methods Exponentially Weighted mentioning

confidence: 99%

Fitting the ratcliff diffusion model to experimental data

Vandekerckhove

Tuerlinckx

2007

Psychonomic Bulletin & Review

197

201

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Section: Appendix a Outlier Treatment Methods Exponentially Weighted mentioning

confidence: 99%

Fitting the ratcliff diffusion model to experimental data

Vandekerckhove

Tuerlinckx

2007

Psychonomic Bulletin & Review

197

201

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“…Three columns of the orthogonal array are empty because only 13 factors are assigned to the L 16 (2 15 ) OA. Replicating the experiment can often reduce the effects of high variability on experimental results.…”

Section: Experimental Methodsmentioning

confidence: 99%

“…A standard orthogonal array [8] shown in Table 2 was employed for the present investigation. This array is designated by the symbol L 16 (2 15 ), is used to design experiments involving up to fifteen 2 level factors and has 16 rows and 15 columns. Each row represents a trial condition with factor levels indicated by the numbers in the row.…”

Section: Experimental Methodsmentioning

confidence: 99%

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The Quality Cost Reduction in Hollow Glass Manufacturing by Taguchi Method

Adil

Moutawakil

2011

J. Sci. Res.

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This paper presents the results of an experimental investigation carried out to optimize the weight of a glass manufacturing bottle of a product called CC35 by Taguchi method of parameter design. The experiments have been designed using an L16 orthogonal array with thirteen factors and two levels each. So the effects of each control factor level on the performance characteristic are analyzed using signal-to-noise ratios, mean response data and analysis of variance (ANOVA). Hence, an experimental setting is established; and to measure the performance of the Taguchi method on the manufacturing process before and after the experiment, three tools are used. The Xbar and range charts measure the stability of the process, the capability index estimates the process ability to deliver a good product in regard to the target value and customer specifications. The quality loss function (QLF) was used to determine the reduction in quality cost due to the elimination of deviation of the quality characteristic (weight) from the target value. Experiment shows that the Taguchi method applied on the glass bottle's manufacturing process (CC35) ensures best stability and capability of the manufacturing process and reduces the weight which results in the quality cost down to 92%.

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“…Jeya Chandra (2001) That is, if the quality characteristic is the outer diameter of the component (say a shaft), then the oversized components are classified as minor defectives, since these components can be reworked. However the undersize components are classified as Major/Critical defectives, since these components cannot be reworked and have to be scraped.…”

Section: Modified Single Sampling Plan (Mssp)mentioning

confidence: 99%

A Modified Single Sampling Plan for the Inspection of Attribute Quality Characteristics

Subramani¹,

Balamurali²

2016

Industrial Engineering and Management Systems

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In this manuscript, a modified single sampling plan is proposed for the inspection of products in which the nonconforming items can be classified in to two categories namely critical and non-critical; and explained with the help of industrial example. The operating procedure of this plan is also proposed and the performance measures such as the probability of acceptance, average sample number, average total inspection and average out going quality are also derived. The optimal parameters are determined which will have minimum sample size. The efficiency of the proposed plan is also discussed over the conventional single sampling plan. The extensive tables for selecting a modified single sampling plan based on AQL and LQL are provided for both Binomial and Poisson distributions and explained with the help of industrial data.

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Statistical Quality Control

Cited by 67 publications

References 0 publications

Fitting the ratcliff diffusion model to experimental data

Fitting the ratcliff diffusion model to experimental data

The Quality Cost Reduction in Hollow Glass Manufacturing by Taguchi Method

A Modified Single Sampling Plan for the Inspection of Attribute Quality Characteristics

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