期刊
INFORMATION SCIENCES
卷 442, 期 -, 页码 128-144出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2018.02.038
关键词
Reliability-based product optimisation; MCDM; Environmentally friendly; Interval uncertainty; DANP; VIKOR
资金
- National Natural Science Foundation of China [51775489]
- Science Fund for Creative Research Groups of National Natural Science Foundation of China [51521064]
- Zhejiang Provincial Natural Science Foundation of China [LZ18E050001]
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. (C) 2018 Elsevier Inc. All rights reserved.
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