Abstract
By constructing a Smart energy efficient manufacturing (SEEM) process grey model, craft parameter optimization is transformed into the process of multi-attribute decision making. Using fuzzy set theory to deal with uncertainty and inaccuracy fuzzy knowledge of SEEM assessment experts, a directly effect incidence matrix and a comprehensive effect matrix of SEEM process are put forward to be indexed by Trial and evaluation laboratory (TEL). The central degree and causal degree of each evaluation index are obtained, and then the relevance is analyzed between SEEM process evaluation indicators and weighted according to impact degrees. At the premise of maximizing of population benefits and minimizing of individual regret, the SEEM process parameters are determined by TEL-VIKOR theory. To obtain SEEM process parameters or compromise process parameters, a decision maker's subjective preference, and establishing control priorities of best SEEM process parameters are set. Finally, SEEM process parameters making decision example from discharge manufacturing process are applied to verify the proposed method.
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Recommended by Editor Haedo Jeong
Wei Zhe is the senior member of CMES, Associate Professor of Northeastern University. He received his Ph.D. in Mechanical Engineering from Zhejiang University, China, in 2009. His current research interests are production engineering and mechanical engineering.
Yixiong Feng received the B.S. and M.S. in Mechanical Engineering from Yanshan University, Qinhuangdao, China, in 1997 and 2000, the Ph.D. in Mechanical Engineering from Zhejiang University, Hangzhou, China, in 2004. He is currently a Professor of Mechanical Engineering of Zhejiang University, China and the member of the State Key Lab of Fluid Power Transmission and Control of Zhejiang University, China. His research focuses on mechanical product design theory, intelligent automation and advance manufacture technology.
Zhaoxi Hong received the M.S. in Mechatronic Engineering from China University of Mining and Technology, Xuzhou, China, in 2016. She is currently a Ph.D. student at Zhejiang University, Hangzhou, China and a member of the State Key Lab of Fluid Power Transmission and Control of Zhejiang University, China. Her research focuses on low carbon mechanical product design theory and product reliability apportionment theory.
Jianrong Tan has an M.S. in Engineering and Ph.D. in Science and is a Specially- appointed Professor of the State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China. He is mainly engaged in Mechanical Design and Theory, Research in Digitalized Design and Manufactory University, Tutoring Board of the Minister of Education.
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Zhe, W., Yixiong, F., Zhaoxi, H. et al. A TEL decision method of process parameters for smart energy efficient manufacturing. J Mech Sci Technol 31, 3897–3905 (2017). https://doi.org/10.1007/s12206-017-0735-7
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DOI: https://doi.org/10.1007/s12206-017-0735-7