Influence of measurement system quality on the evaluation of process capability indices Andrzej Czarski, Piotr Matusiewicz.

Czarski, A.; Matusiewicz, P.

doi:10.7494/mafe.2012.38.1.25

Cited by 4 publications

(7 citation statements)

References 5 publications

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“…it is impossible to reach the full capacity of the process, unless measures for screening, continuous monitoring and improvement of the operation were carried out as a whole. Czarski & Matusiewicz (2012) using statistical control techniques in association with measurement analysis system, also found the process as incapable of producing satisfactory items regardless of the centralization of the process in the target. The same authors also reported that, due to the high values Cp and Cpk (1.17 and 1.14, respectively), adjustment measures should be performed in order to the process become capable, as the one found for speed in the rectangular plot.…”

Section: Resultsmentioning

confidence: 99%

Influence of the Plots Format on the Performance Index of the Soybean Combine Harvester

et al. 2017

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ABSTRACT:The intensive mechanization during the harvest operation and success of this operation depends on several factors, one of which is the length and format of the plots. The aim of this study was to evaluate the operating performance of a soybean harvester in different geometric plots shape, using as quality indicators performance parameters by means of statistical control tools of process. The experiment was conducted in March 2014 in the city of Uberaba -MG. Operational capacity was evaluated in the mechanical harvesting of soybeans in three plots: irregular, rectangular and trapezoidal. Performance evaluations of soybean harvester were made from the following parameters: displacement speed, engine rotation, cylinder rotation and concave opening. The grain water contents affect the quality indicators of the soybean harvester performance in all plots shapes. The harvester performance is considered able to maintain between the specification limits and close to the target, to speed quality indicators the irregular and the trapezoidal plots and for cylinder rotation the trapezoidal plot.

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Section: Resultsmentioning

confidence: 99%

Influence of the Plots Format on the Performance Index of the Soybean Combine Harvester

et al. 2017

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“…this is where one can test how the compression parameters affect the dissolution and establish a co-relation if possible. 4. Improve: Work on creating an optimum set of the key process factors which result in an improved predicted Cpk, consistent with the goal of delivering a significant improvement in process capability.…”

Section: Generate a Hypothesismentioning

confidence: 99%

“…Here, it should be emphasized that, first of all, the statistical properties decide about the quality of a measurement system and its ability for processes' monitoring with sufficient accuracy. 4 A key outcome of pharmaceutical validation studies is proving equipment, instruments and processes that are involved in the manufacture or testing of regulated materials are fit for purpose. Fit for purpose means that a system consistently performs the process it was designed to do when operated within normal limits.…”

Section: Introductionmentioning

confidence: 99%

Concept of process capability indices as a tool for process performance measures and its pharmaceutical application

Mahapatra¹,

Jian-wu²,

Shao³

et al. 2020

J. Drug Delivery Ther.

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The main objective of the present study is to present the concept of process capability and to focus its significance in pharmaceutical industries. From a practical view point, the control charts (such as X and R hart) sometimes are not convenient summary statistics when hundreds of characteristics in a plant or supply base are considered. In many situations, capability indices can be used to relate the process parameters. The resulting indices are unit less and provide a common, easily understood language for quantifying the performance of a process. Process capability indices (PCIs) are powerful means of studying the process ability for manufacturing a product that meets specifications. Several capability indices including Cp, Cpu, Cpl and Cpk have been widely used in manufacturing industry to provide common quantitative measures on process potential and performance. The formulas for these indices are easily understood and can be directly implemented. A process capability analysis compares the distribution of output from an in-control process to its speciﬁcations limits to determine the consistency with which the specifications can be met. The process capability is also having a significant role in pharmaceutical industry. Process capability indices can be a powerful tool by which to ensure drug product quality and process robustness. Determining process capability provides far more insight into any pharmaceutical process performance than simply computing the percentage of batches that pass or fail each year. Keywords: Process capability; Cp/Cpk; Pp/Ppk; Pharmaceutical quality, process robustness, specification

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“…A. Czarski [2] described two methods to estimate 0.135 percentile (x 0.00135 ), 99.865 percentile (x 0.99865 ) and median (x 0.5 ): Exact method and Clement's method. J.N.…”

Section: Introductionmentioning

confidence: 99%

“…Using data transformation technique, the goal is to transform the data to normal distribution, which then allows us to estimate the indices according to equations ( 1) and (2). In [4] author suggests transforming data to normal by Johnson transformation based on Johnson curves or Box-Cox transformation.…”

Section: Introductionmentioning

confidence: 99%

A power transformation for non-normal processes capability estimation

Lavrac,

Turk

2023

Preprint

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Process capability estimation depends on the underlying data distribution. If data is not normally distributed, other techniques for capability estimation should be taken into consideration. In this paper, we propose modified power transformation method for non-normal process capability estimation. Proposed method is compared to Box-Cox, Johnson and Abbasi-Niaki transformation method using simulation studies. In terms of transformed data and capability estimation, proposed transformation method showed better performance than Box-Cox and Abbasi-Niaki method.

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Influence of measurement system quality on the evaluation of process capability indices Andrzej Czarski, Piotr Matusiewicz.

Cited by 4 publications

References 5 publications

Influence of the Plots Format on the Performance Index of the Soybean Combine Harvester

Influence of the Plots Format on the Performance Index of the Soybean Combine Harvester

Concept of process capability indices as a tool for process performance measures and its pharmaceutical application

A power transformation for non-normal processes capability estimation

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