Article ID Journal Published Year Pages File Type
6856542 Information Sciences 2018 34 Pages PDF
Abstract
With the far-reaching and overwhelming consequences resulting from energy crisis and carbon emissions, industrial products are required to be environmentally friendly, as well as of high quality and functionality. However, conventional reliability-based product optimisation methods cannot sufficiently ensure the environmental friendliness of modern industrial products. Firstly, the environmental features of a product are not considered. Secondly, the uncertainty of reliability-based product optimisation is not processed efficiently. Thirdly, no sufficient attention is being paid to capturing relationships among product components, despite such dependencies possibly exhibit a major impact on product functions. In order to address these issues, an environmentally friendly multi-criteria decision making (MCDM) model for reliability-based product optimisation is proposed by combining a decision-making trial and evaluation laboratory (DEMATEL)-based analytical network process (ANP) (DANP), interval uncertainty and the Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The validity of this method is demonstrated by a numerical example.
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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