Stochastic optimization of laboratory test workflow at metallurgical testing centers

The objective of the paper is to present a way to shorten the time required to perform laboratory tests of materials in metallurgy. The paper finds a relation between the time to perform a test of materials and the number of technicians carrying out the test. The relation can be used to optimize the number of technicians. The approach is based on probability theory, as the amount of material to be tested is unknown in advance, and uses powerful modelling techniques involving the generalized estimating equations.Web of Science55478277

Use of quality planning methods in optimizing welding wire quality characteristics

The quality of a product is given by the extent, to which the product meets customer requirements. It is generally accepted that the extent, to which the product meets such customer requirements, and, consequently, the resulting quality of the product itself, substantially depend on the early stages of the product lifecycle, i.e. on the design and development stages. Appropriate means for eff ective product quality planning can be found among quality management methods and tools. These methods are typically employed in engineering production and automotive industry. This paper focuses on exploring the potential of Quality Function Deployment (QFD) and Failure Mode and Eff ect Analysis (FMEA) methods for use in metallurgical production, an industrial branch where they have not been commonly employed as yet.Web of Science52453252

Problems of application of measurement system analysis (MSA) in metallurgical production

This paper lists the most fundamental problems related to the application of measurement system analysis (MSA) in metallurgical production and outlines ways of solving them. Based on the real measurements it was found, that the width of the confidence interval constructed for the value of combined gage repeatability and reproducibility (GRR) can be reduced (and thus the reliability of the GRR value can be increased) more by raising the number of trials than by increasing the number of samples. The basic assumption for the use of analysis of variance (constant variance and the occurrence of outliers) can be verified by using the proposed multiple box and whisker plot.Web of Science55353753

Graphical tools for increasing the effectiveness of gage repeatability and reproducibility analysis

The article deals with the quality of measured data, which is necessary for effective quality management and successful implementation of the concept Industry 4.0 and the related concept Quality 4.0. The quality of the measured data is determined by the properties of the used measurement system, which are evaluated by measurement system analysis (MSA). Attention is paid to increasing the effectiveness of the repeatability and reproducibility analysis often used in practice. The importance of graphical tools of analysis, which are often neglected in practice, is emphasized in this regard, and new or modified graphical tools are proposed. The proposed graphical tools allow more detailed analysis of the data collected for the study and reveal the causes of the measurement system variability. The information obtained by applying these graphical tools is a valuable basis for proposals of appropriate actions to improve the measurement system. The use of the proposed graphical tools is presented in a real study of the repeatability and reproducibility of the measurement system.Web of Science111art. no.

Measurement system analyses - gauge repeatability and reproducibility methods

The submitted article focuses on a detailed explanation of the average and range method (Automotive Industry Action Group, Measurement System Analysis approach) and of the honest Gauge Repeatability and Reproducibility method (Evaluating the Measurement Process approach). The measured data (thickness of plastic parts) were evaluated by both methods and their results were compared on the basis of numerical evaluation. Both methods were additionally compared and their advantages and disadvantages were discussed. One difference between both methods is the calculation of variation components. The AIAG method calculates the variation components based on standard deviation (then a sum of variation components does not give 100 %) and the honest GRR study calculates the variation components based on variance, where the sum of all variation components (part to part variation, EV & AV) gives the total variation of 100 %. Acceptance of both methods among the professional society, future use, and acceptance by manufacturing industry were also discussed. Nowadays, the AIAG is the leading method in the industry.Web of Science181272

Mutual combination of selected principles and technologies of Industry 4.0 and quality management methods - case study

In this paper the case study of the application of Failure Mode and Effects Analysis (FMEA) on the testbed “Smart Factory Line” has been described. The main goals of this study have been to verify feasibility and applicability of FMEA on such complex technical system and to show real possibilities of integration of Industry 4.0 principles and technologies with selected methods of quality management. The significant part of the paper is formed by extensive literature review of the related topics such as mass customization and individualization, Industry 4.0, Quality 4.0, fault management and their selected principles, methods and technologies, putting the stress on the team cooperation of experts of different specializations. The attention also has been put on the describing testbeds as platforms for the academy world and practice connection. This case of the practical integration of the smart factory testbed design and its products with the new FMEA approach based on the harmonized AIAG and VDA manual has brought new views on the practical realization of smart factories, on importance of building Quality 4.0 and on requirements for interdisciplinary education of the technicians and quality specialists for Industry 4.0.Web of Scienc

Analýza způsobilosti procesu výroby ocelových profilů

Import 11/09/2007Prezenční639 - Katedra kontroly a řízení jakost

Methodological Approaches to the Measurement System Analyses

Import 23/07/2015Disertační práce se zaměřuje na rozvoj metodických přístupů hodnocení kvality systému měření. V teoretické části práce jsou podrobně představeny nejnovější poznatky o současných přístupech k analýzám systému měření. Pozornost je věnována především kritickému rozboru metodik MSA (Measurement system analysis) a VDA 5. Podrobně jsou specifikovány metody vyhodnocování jednotlivých statistických vlastností systému měření resp. složek nejistot měření. Praktická část práce je plně věnována naplnění cílů práce, jež jsou definovány v druhé kapitole disertační práce. V rámci naplnění prvního cíle práce bylo provedeno multikriteriální hodnocení nejpoužívanějších metodických přístupů k analýzám systému měření. Na základě tohoto hodnocení byly následně definovány silné a slabé stránky hodnocených metodických přístupů. Následně byly na reálných datech prozkoumány možnosti zaměnitelnosti výsledných ukazatelů, používaných k hodnocení přijatelnosti systémů měření. Další část práce je zaměřena na podrobnou analýzu faktorů ovlivňujících provádění a vyhodnocování analýzy opakovatelnosti a reprodukovatelnosti měření. Pomocí analýz prováděných jak na reálných tak i na simulovaných datech byl hodnocen způsob, jakým definované faktory ovlivňují hodnoty sledovaných parametrů. Výsledky těchto experimentů byly využity k definování podmínek, za kterých budou výsledky analýzy systémů měření co možná nejpřesnější. Kritickému rozboru byly rovněž podrobeny různé grafické nástroje analýz systémů měření. Pomocí provedených analýz byly definovány nedostatky jednotlivých grafů a diagramů. Pro odstranění těchto nedostatků byly následně navrženy inovované či zcela nové grafické nástroje využitelné zejména při analýze příčin vysoké variability systémů měření. V poslední částí práce byl navržen postup komplexní analýzy systému měření umožňující vyhodnocení několika statistických vlastností systému měření v rámci jedné analýzy.The thesis focuses on development of methodological approaches of the quality of the measurement system. In the theoretical part of this work are in detail presented the latest information about the recent approaches to the measurement systems analysis. Attention has been paid to the critical analysis of methodologies MSA (Measurement System Analysis) and VDA 5. In detail are specified methods of evaluation of particular statistical properties of the measurement system and the components of measurement uncertainty. The practical part is fully paid to achieving the goals of the work, which are defined in the second chapter of the thesis. Within the framework the fulfillment of first goal of this work was performed the multi-criteria evaluation of the most widely used methodological approaches to the measurement system analysis. On the basis of this evaluation were subsequently defined strengths and weaknesses of evaluated methodological approaches. Based on the real data in the next step has been explored the possibilities of interchangeability of the performance indicators used to the evaluation of the acceptability of the measurement systems. Next part of this work aims on a detailed analysis of the factors affecting the implementation and evaluation of the gage repeatability and reproducibility study. Using experiments conducted on both real and simulated data was evaluated the way in which defined factors affect the values of observed parameters. The results of these experiments were used to define the conditions under which are the results of the measurement system analysis as accurate as possible. Critical analysis has been also subjected the various graphical tool of the measurement system analysis. By using the experiments were defined weaknesses of each charts and diagrams. To eliminate these weaknesses, has been subsequently designed a completely new and upgraded graphical tools useful in the analysis of the causes of high variability of the measurement systems. In the last part of this work was designed the procedure of comprehensive measurement system analysis allowing evaluation of several statistical properties of the measurement system within a single analysis.Prezenční639 - Katedra managementu kvalityvyhově

Present Approaches to Measurement Systems Analyses

Import 01/09/2009Prezenční639 - Katedra kontroly a řízení jakostivýborn

Effect of the number of non-conforming samples on the Kappa indicator values

Evaluate the quality of this measurement system is possible by using multiple methods, which are described in the methodology guides for evaluation of the measurement system quality. Within these methods, values of different indicators are evaluated. This paper deals with the cross tabulation method and foremost Kappa indicator. More specifically is examined the effect of the number of used nonconforming samples on explanatory power of this indicator. The effect on the kappa values is examined from several aspects that must be taken into account during evaluation of the quality of measurement system for attributive quality characteristics