Analysis of the Level of Efficiency of Control Methods in the Context of Energy Intensity

Andrzej Pacana (), Karolina Czerwińska and Grzegorz Ostasz
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Andrzej Pacana: Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
Karolina Czerwińska: 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

Energies, 2023, vol. 16, issue 8, 1-26

Abstract: In enterprises, the management of detection methods usually refers to ensuring the identification of nonconformities. This management is incomplete and incompatible with the concept of sustainability (it ignores electricity consumption and costs). To date, no models have been developed to support the analysis of detection methods in terms of the relationship of efficiency–energy consumption. The purpose of the study was to develop proprietary software to analyse the level of efficiency of detection methods for casting products in the context of their energy intensity. The model supports effective management of the quality control process, optimising the relationship of product quality–energy intensity of the process. The model integrally combines detection methods, so it was possible to identify critical product nonconformities and analyse these methods to determine their effectiveness, time efficiency, cost efficiency, and energy intensity. As a result of the implications of the software, a ranking of the total efficiency of electrical connector detection methods was obtained. The numerical values of the total efficiency index indicated that X-ray testing was the most effective, well ahead of the other methods. The eddy current and ultrasonic tests show similar values for the index analysed. A verification of the software was carried out that confirmed its suitability in foundry enterprises.

Keywords: energy intensity; checkpoint; Industry 4.0 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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