mechanical engineering
production engineering

How to Cite



Predicting favourable products is still challenging. It is influenced by dynamic customers' requirement changes and reduction of waste. An important problem is a simultaneous combination of customer satisfaction with environmental aspects. It resulted from a need to reduce the harmfulness of products and increasing the quality level of these products. Therefore, the aim is to propose a method to predict favourable products considering qualitative and environmental aspects. The method relies on predicting which product will be the most favourable for customer, and simultaneously will be the most environmentally friendly. Due to the uncertainty of decisions, the Grey Relational Analysis (GRA) was implemented in the proposed method. The GRA method is effective to any number of data, therefore the proposed method does not have limitations in numbers of qualitative and environmental criteria. The test was carried out based on harmful industrial products. It was fluorescent penetrants used in popular non-destructive testing.


Ertugrul, I. et al. (2016). Grey Relational Analysis Approach in Academic Performance Comparison of University: A Case Study Of Turkish Universities. “European Scientific Journal”, 12.

Hajduk-Stelmachowicz, M. (2017). Organisational Eco-innovations in the Companies Located in the Podkarpackie Province – The Aspect of Costs. “Reseach Papers of Wroclaw University of Economics”, 491.

Javed, S.A. et al. (2019). Systems Evaluation through New Grey Relational Analysis Approach: An Application on Thermal Conductivity – Petrophysical Parameters’ Relationships. “Processes”, 7. DOI: 10.3390/pr7060348.

Jiao, JX., Chen, CH. (2006). Customer requirement management in product development: A review of research issues. “Concurrent Engineering-Research And Applications”, 14(3). DOI: 10.1177/1063293X06068357.

Lawlor, K. B., Hornyak, M. J. (2012). Smart Goals: How The Application Of Smart Goals Can Contribute To Achievement Of Student Learning Outcomes. ”Developments in Business Simulation and Experiential Learning” 39.

Lee, C. H., Chen, C. H., Lin, C. Y., Li, F., Zhao, X. J. (2019). Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method. “Applied Sciences-Basel”, 9(23). DOI: 10.3390/app9235004.

Luca, L. (2016). A new model of Ishikawa diagram for quality assessment, “IOP Conference Series Materials Science and Engineering”, 151, 1. DOI: 10.1088/1757-899X/161/1/012099.

Mentel, U., Hajduk-Stelmachowicz, M. (2020). Does standardization have an impact on innovation activity in different countries?. “Problems and Perspectives in Management”, 18(4). DOI: 10.21511/ppm.18(4).2020.39.

Mu, E., Pereyra-Rojas, M. (2017). Practical Decision Making [In:] Springer Briefs in Operations Research, Appendix A: Practical Questions Related to AHP Modeling; Springer Nature: Basel, Switzerland, 105–106.

Okrah, J., Hajduk-Stelmachowicz, M. (2020). Political stability and innovation in Africa. “Journal of International Studies”, 11. DOI: 10.14254/2071-8330.2020/13-1/15.

Pacana, A., Siwiec, D., Bednárová, L. (2020). Method of Choice: A Fluorescent Penetrant Taking into Account Sustainability Crite-ria. “Sustainability” 12, 5854. DOI: 10.3390/su12145854.

Rossiter, J., Lilien, G. (1994). New “Brainstorming” Principles. “Australian Journal of Management”, 19, 1.

Shi, Y. L., Peng, Q. J. (2020). A spectral clustering method to improve importance rating accuracy of customer requirements in QFD. “International Journal Of Advanced Manufacturing Technology”, 107(5–6). DOI: 10.1007/s00170-020-05204-1.

Siwiec D., Pacana A. (2021). Method of improve the level of product quality. “Production Engineering Archives”, 27(1). DOI: 10.30657/pea.2021.27.1.

Siwiec, D., Bednarova, L., Pacana, A. (2020). Metoda doboru penetrantów dla przemysłowych badań nieniszczących. „Przemysł Chemiczny”, 99(5). DOI: 10.15199/62.2020.5.18.

Siwiec, D., Bednarova, L., Pacana, A., Zawada, M., Rusko, M. (2019). Wspomaganie decyzji w procesie doboru penetrantów fluorescencyjnych do przemysłowych badań nieniszczących. „Przemysł Chemiczny”, 98(10). DOI: 10.15199/62.2019.10.12.

Siwiec, D., Pacana, A. (2021). A Pro-Environmental Method of Sample Size Determination to Predict the Quality Level of Products Considering Current Customers’ Expectations. “Sustainability” 13. DOI: 10.3390/su13105542.

Ulewicz, R., Kleszcz, D., Ulewicz, M. (2021). Implementation of Lean Instruments in Ceramics Industries. “Management Systems in Production Engineering”, 29(3). DOI: 10.2478/mspe-2021-0025.

Ulewicz, R., Siwiec, D., Pacana, A., Tutak, M., Brodny, J. (2021). Multi-Criteria Method for the Selection of Renewable Energy Sources in the Polish Industrial Sector. “Energies” 14. DOI: 10.3390/en14092386.

Wang F. et al. (2015). Capturing the key customer requirements for complex equipment design using Grey Relational Analysis. “Journal of Grey System”, 27(3).

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