METHOD OF PREDICTING FAVOURABLE INDUSTRIAL PRODUCTS
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Keywords

predict,
GRA
quality
mechanical engineering
production engineering
decisions
sustainability

How to Cite

SIWIEC, D., & VANDŽURA, S. (2021). METHOD OF PREDICTING FAVOURABLE INDUSTRIAL PRODUCTS. Modern Management Review, 26(3), 87-96. https://doi.org/10.7862/rz.2021.mmr.20

Abstract

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.

https://doi.org/10.7862/rz.2021.mmr.20
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All texts published in the Journal "Modern Management Review" are available in the full version on the website of MMR. Digital IDs have also been entered from number 19 (3/2012) (DOI: 10.7862/rz.2018.mmr.1)

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