Open AccessMETHOD OF PREDICTING FAVOURABLE INDUSTRIAL PRODUCTS
Author(s) -
Dominika Siwiec,
Stanislav Vandžura
Publication year - 2021
Publication title -
modern management review
Language(s) - English
Resource type - Journals
eISSN - 2353-0758
pISSN - 2300-6366
DOI - 10.7862/rz.2021.mmr.20
Subject(s) - product (mathematics) , quality (philosophy) , grey relational analysis , risk analysis (engineering) , computer science , qualitative analysis , environmental economics , biochemical engineering , business , engineering , qualitative research , mathematics , economics , statistics , social science , philosophy , geometry , epistemology , sociology
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.