A Model for Sustainable Quality Control Improvement in the Foundry Industry Using Key Performance Indicators
Karolina Czerwińska,
Andrzej Pacana () and
Grzegorz Ostasz
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Karolina Czerwińska: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
Andrzej Pacana: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
Grzegorz Ostasz: Faculty of Management, Rzeszow University of Technology, Al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
Sustainability, 2025, vol. 17, issue 4, 1-34
Abstract:
The foundry industry consumes significant amounts of natural resources, metals, and energy, and it generates large amounts of solid waste and gases, which have a significant impact on the environment. Therefore, taking sustainability-based improvement measures in foundry companies is necessary and an important part of sustainable development for humanity. The aim of this study was to develop a universal indicator model for quality control improvement focused on the foundry industry. The model allows a multi-criteria analysis of various quality control methods and the determination of their gradation in the context of ensuring an objectively high level of product quality. A test of the model carried out in foundry companies confirmed its suitability. An optimisation of the relationship between product quality and quality control efficiency was carried out, which fulfilled the criteria of efficiency, reliability, low emissivity, low energy intensity, low cost, short lead time, and automation. Thanks to the indicated features, the model clearly fits into the concept of sustainable development and Industry 4.0. The result of the realised research, i.e., the ranking of the gradation of detection methods, allowed optimisation of quality control within the analysed production process. Future research directions will address the integration of digital solutions within the model.
Keywords: sustainability industry; Industry 4.0; mechanical engineering; quality management; quality control system; KPI; indicator analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:4:p:1418-:d:1587132
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