Dr. Zeyi Sun
Assistant Professor
Engineering Management & Systems Engineering
Missouri University of Science and Technology
United States of America
Biography
Ph.D. Industrial Engineering and Operations Research, 2015, University of Illinois at Chicago M.Eng Manufacturing, 2010, University of Michigan B.Eng, 2002, Materials Science and Engineering, Tongji University
Research Interest
Energy efficiency management of manufacturing systems, Electricity demand response of manufacturing systems, System modeling of cellulosic biofuel manufacturing, Energy modeling and control in additive manufacturing, Intelligent maintenance of manufacturing systems
Publications
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Z. Sun, and L. Li, 2013, Potential capability estimation for real time electricity demand response of sustainable manufacturing systems using Markov decision process, Journal of Cleaner Production, 65: 184-193.
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Z. Sun, and L. Li, 2013, Opportunity estimation for real-time energy control of sustainable manufacturing systems, IEEE Transactions on Automation Science and Engineering, 10(1): 38-44.
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Z. Sun, L. Li, M. Fernandez, and J. Wang, 2014, Inventory control for peak electricity demand reduction of manufacturing systems considering the tradeoff between production loss and energy savings, Journal of Cleaner Production, 82: 84-93.
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Z. Sun, L. Li, A. Bego, and F. Dababneh, 2015, Customer-side electricity load management for sustainable manufacturing systems utilizing combined heat and power generation system, International Journal of Production Economics, 165:112-119.
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L. Li, Z. Sun, X. Yao, and D. Wang, 2016, Optimal production scheduling for energy efficiency improvement in biofuel feedstock preprocessing considering work-in-process particle separation, Energy, 96: 474-481.
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Z. Sun, L. Li, and F. Dababneh, 2016, Plant-level electricity demand response for combined manufacturing system and HVAC system, Journal of Cleaner Production, DOI: 10.1016/j.jclepro.2015.12.098,in press.
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F. Dababneh, L. Li, and Z. Sun, 2016, Peak power demand reduction for combined manufacturing and HVAC system considering heat transfer characteristics, International Journal of Production Economics, 177: 44-52.
