Abstract
The product low-carbon design is the key to decrease carbon emissions in manufacturing. The multiple criteria decision-making (MCDM) method has been widely used in solving the design schemes preference choosing problems. However, the existed MCDM method has two primary problems facing the product low-carbon design cases: (i) How to clarify the coupling relationship between low-carbon decision criteria? (ii) How to fuzzily express the low-carbon-orient product design schemes? To solve these problems, we proposed a novel MCDM method for product low-carbon design. It combines the coupling network analysis with the interval hesitant fuzzy set entropy theory into MCDM process. We used a case study of injection molding machine low-carbon design to verify the proposed MCDM method. It turns out that the proposed MCDM method can help us make more rational and equitable decisions among alternative low-carbon schemes.
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Acknowledgements
This work has been funded by the National Key R&D Program of China (2018YFB1700700), the National Natural Science Foundation of China (51375437), the National Natural Science Foundation of China (51875516), the Youth Funds of the Fluid Power and Mechatronic System of Zhejiang University (SKLoFP_QN_1702), and the Collaborative Innovation Center of High-end Manufacturing Equipment.
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Wang, Z., Zhang, S., Qiu, L. et al. A low-carbon-orient product design schemes MCDM method hybridizing interval hesitant fuzzy set entropy theory and coupling network analysis. Soft Comput 24, 5389–5408 (2020). https://doi.org/10.1007/s00500-019-04296-6
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DOI: https://doi.org/10.1007/s00500-019-04296-6