2022
DOI: 10.30657/pea.2022.28.36
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The use of combined quality management instruments to analyze the causes of non-conformities in the castings of the cover of the rail vehicle bearing housing

Abstract: The most critical activities influencing the success of each company are continuous improvement of the quality of manufactured products and monitoring of the production process. Skillful use of available technologies and quality management tools allows for eliminating casting non-conformities and preventing their repetition in the future. The research aimed to analyze the types of defects occurring in castings, the location of their most frequent occurrence areas, and to identify the causes of defects in casti… Show more

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Cited by 5 publications
(5 citation statements)
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“…The next step of the analysis was to present the relationships and group them using one of the 7 traditional quality management tools -the Ishikawa diagram. This diagram was used in the (Chądzyńska and Klimecka-Tatar, 2017, Ciecińska and Oleksiak, 2023, Czerwińska and Piwowarczyk, 2022, Knop and Ulewicz, 2022, Krynke et al, 2021, Luca et al, 2017, Mizuno, 2020, Siwiec and Pacana, 2019, Siwiec and Pacana, 2021, Urbaniak, 2004, Ulewicz, 2014 papers. The Ishikawa diagram, also known as the fishbone diagram, fish diagram, tree diagram or cause and effect diagram, allows to identify groups of causes that influence a given problem.…”
Section: Research Methodology and Analysis Of Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The next step of the analysis was to present the relationships and group them using one of the 7 traditional quality management tools -the Ishikawa diagram. This diagram was used in the (Chądzyńska and Klimecka-Tatar, 2017, Ciecińska and Oleksiak, 2023, Czerwińska and Piwowarczyk, 2022, Knop and Ulewicz, 2022, Krynke et al, 2021, Luca et al, 2017, Mizuno, 2020, Siwiec and Pacana, 2019, Siwiec and Pacana, 2021, Urbaniak, 2004, Ulewicz, 2014 papers. The Ishikawa diagram, also known as the fishbone diagram, fish diagram, tree diagram or cause and effect diagram, allows to identify groups of causes that influence a given problem.…”
Section: Research Methodology and Analysis Of Resultsmentioning
confidence: 99%
“…This hierarchy will be made using another traditional quality management tool -the Pareto-Lorenz diagram. The practical use of this tool can be found in the papers of (Czerwińska and Piwowarczyk, 2022, Knop and Ulewicz, 2022, Mizuno, 2020, Pacana and Czerwińska, 2019, Urbaniak, 2004, Ulewicz, 2014. This diagram allows to determine which threats occur most often in the examined research period and which should be eliminated first.…”
Section: Research Methodology and Analysis Of Resultsmentioning
confidence: 99%
“…There is great potential for further research in the area of filling process analysis in the food industry. Research into the optimisation of the filling process will be continued by identifying other factors influencing product quality in terms of dispensing precision and accuracy, and using other statistical techniques and combined quality management tools (Czerwińska, Piwowarczyk, 2022) to identify patterns and relationships between different process parameters, which can provide more comprehensive information on the quality and ability of the dispensing process to meet customer requirements. This type of research has the potential to bring significant benefits in terms of improving the quality, efficiency and effectiveness of production processes.…”
Section: Discussionmentioning
confidence: 99%
“…By modifying the surface layer morphology, significant advancements can be made in reducing wear and tear on machine parts [24][25][26]. Additionally, this technique has the potential to enhance the quality of products in the automotive industry [27,28] and railway sector [29,30], which, in turn, can inspire the development of new quality control methods [31][32][33] implemented in both the automotive [34,35] and metal industries [36,37]. Implementing these quality enhancements has a significant impact on minimizing potential failure scenarios and their associated consequences [38][39][40], allowing for the effective implementation of lean manufacturing principles [41][42][43].…”
Section: Introductionmentioning
confidence: 99%