Research Highlight

Greentelligence: Smart Manufacturing for a Greener Future

  • Xingyu Li ,
  • Baicun Wang ,
  • Tao Peng ,
  • Xun Xu
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  • 1 Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA;
    2 State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China;
    3 Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand, 1010
Xingyu Li, born in 1992, is currently a Research Investigator at Department of Mechanical Engineering, University of Michigan, USA. He received his doctoral degree from University of Michigan, USA. His main research interests include manufacturing systems, operation research, deep learning, artificial intelligence, and optimization;
Baicun Wang, born in 1990, is currently a Research Professor at the State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, China. He received his doctoral degree from Zhejiang University, China, and worked as Post-doc Researcher at Tsinghua University, Chinese Academy of Engineering, China, and the University of Michigan, USA. His main research interests include human-cyber-physical systems(HCPS), intelligent manufacturing, industrial and systems engineering;
Tao Peng, born in 1984, is currently an Associate Professor at State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, China. He received his bachelor and master degrees from Xian Jiaotong University, China, and doctoral degree from the University of Auckland, New Zealand. His research interests include smart sustainable manufacturing, data analytics and intelligence in collaborative manufacturing, smart production management and decision support;
Xun Xu, born in 1959, ASME/EngNZ Fellow, is currently a Chair Professor at the Department of Mechanical Engineering, the University of Auckland, New Zealand. He received his doctoral degree from the University of Manchester, UK. His research interests include smart and interoperable manufacturing, advanced technologies in Industry 4.0, cyber-physical systems, and cloud manufacturing

收稿日期: 2021-08-11

  网络出版日期: 2022-04-03

基金资助

Supported by Zhejiang Provincial Natural Science Foundation of China (Grant No. LY19E050019), Zhejiang Provincial Soft Science Research Project(Grant No.2022C35040)and Zhejiang University "Hundreds of Talents" Program (Grant No. 0020886).

Greentelligence: Smart Manufacturing for a Greener Future

  • Xingyu Li ,
  • Baicun Wang ,
  • Tao Peng ,
  • Xun Xu
Expand
  • 1 Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA;
    2 State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China;
    3 Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand, 1010

Received date: 2021-08-11

  Online published: 2022-04-03

Supported by

Supported by Zhejiang Provincial Natural Science Foundation of China (Grant No. LY19E050019), Zhejiang Provincial Soft Science Research Project(Grant No.2022C35040)and Zhejiang University "Hundreds of Talents" Program (Grant No. 0020886).

本文引用格式

Xingyu Li , Baicun Wang , Tao Peng , Xun Xu . Greentelligence: Smart Manufacturing for a Greener Future[J]. Chinese Journal of Mechanical Engineering, 2021 , 34(6) : 116 -116 . DOI: 10.1186/s10033-021-00656-2

参考文献

[1] ClimateWatch, 2020. Historical GHG Emissions.[2021-06-24]. https://www.climatewatchdata.org/ghg-emissions?end_year=2018&start_year=1990.
[2] T A ukker, A De Koning, R Wood, et al. EXIOPOL-development and illustrative analyses of a detailed global MR EE SUT/IOT. Economic Systems Research, 2013, 25(1):50-70.
[3] W Nordhaus. Integrated assessment models of climate change. NBER Reporter, 2017:16-20.
[4] M Geissdoerfer, P Savaget, N M Bocken, et al. The Circular Economy-A new sustainability paradigm? Journal of Cleaner Production, 2017, 143:757-768.
[5] U Sendler. The internet of things:Industrie 4.0 unleashed. Springer, 2017.
[6] A M Deif. A system model for green manufacturing. Journal of Cleaner Production, 2011, 19(14):1553-1559.
[7] M Atlas, R Florida. Green manufacturing. Handbook of Technology Management, 1998:1385-1393.
[8] T C Heller, P R Shukla. Development and climate:Engaging developing countries. Beyond Kyoto:Advancing the international effort against climate change, 2003:111-140.
[9] M Breque, L De Nul, A Petridis. Industry 5.0:towards a sustainable, human-centric and resilient European industry. Luxembourg, LU:European Commission, Directorate-General for Research and Innovation, 2021.
[10] J Zhou, Y Zhou, B Wang, et al. Human-cyber-physical systems (HCPSs) in the context of new-generation intelligent manufacturing. Engineering, 2019, 5(4):624-636.
[11] S Nimbalkar, W Guo, C Petri, et al. Smart manufacturing technologies and data analytics for improving energy efficiency in industrial energy systems. Oak Ridge National Laboratory, Knoxville, TN Wei Guo, Oak Ridge National Laboratory, 2017.
[12] R Kumar, P Rao. Green manufacturing technology-solution for environmental impact and waste. Sustainable Development, 2018, 4(12):532-535.
[13] J Yang, Y Ye, X Li, et al. Flexible, conductive, and highly pressure-sensitive graphene-polyimide foam for pressure sensor application. Composites Science and Technology, 2018, 164:187-194.
[14] S T Wismann, J S Engbæk, S B Vendelbo, et al. Electrified methane reforming:A compact approach to greener industrial hydrogen production. Science, 2019, 364(6442):756-759.
[15] W D Leong, H L Lam, W P Q Ng, et al. Lean and green manufacturing-A review on its applications and impacts. Process Integration and Optimization for Sustainability, 2019, 3(1):5-23.
[16] T Campbell, C Williams, O Ivanova, et al. Could 3D printing change the world. Technologies, Potential, and Implications of Additive Manufacturing, Atlantic Council, Washington, DC, 3, 2011.
[17] R N Elliott. Energy efficiency and industry:The national trend. Washington DC:American Council for an Energy-Efficient Economy, 2016, http://aceee.org/blog/2015/12/energyefficiency-and-industry.
[18] A Salam. Internet of things in sustainable energy systems. In: Internet of Things for Sustainable Community Development, Springer, Cham, 2020:183-216.
[19] X Li, A E Bayrak, B I Epureanu, et al. Real-time teaming of multiple reconfigurable manufacturing systems. CIRP Annals, 2018, 67(1):437-440.
[20] X Zhang, X Ao, W Cai, et al. A sustainability evaluation method integrating the energy, economic and environment in remanufacturing systems. Journal of Cleaner Production, 2019, 239:118100.
[21] W Kerr, C Ryan. Eco-efficiency gains from remanufacturing:A case study of photocopier remanufacturing at Fuji Xerox Australia. Journal of Cleaner Production, 2001, 9(1):75-81.
[22] X Li, N Li, I Kolmanovsky, et al. Stochastic model predictive control for remanufacturing system management. Journal of Manufacturing Systems, 2021, 59:355-366.
[23] B H Li, L Zhang, S L Wang, et al. Cloud manufacturing:a new service-oriented networked manufacturing model. Computer Integrated Manufacturing Systems, 2010, 16(1):1-7.
[24] Plex Systems Inc. Plex manufacturing cloud. https://www.plex.com/.
[25] A Khezri, H H Benderbal, L Benyoucef. A sustainable reconfigurable manufacturing system designing with focus on environmental hazardous wastes. 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), September, 2019:317-324.
[26] B I Epureanu, X Li, A Nassehi, et al. Self-repair of smart manufacturing systems by deep reinforcement learning. CIRP Annals, 2020, 69(1):421-424.
[27] T S Harding. Life cycle assessment as a tool for Green manufacturing education. Materials Engineering, 2004:62.
[28] L Scholz, A O Perez, B Bierer, et al. Miniature low-cost carbon dioxide sensor for mobile devices. IEEE Sensors Journal, 2017, 17(9):2889-2895.
[29] W Liu, T Peng, R Tang, et al. An Internet of Things enabled model-based approach to improving the energy efficiency of aluminum die casting processes. Energy, 2020,. https://doi.org/10.1016/j.energy.2020.117716
[30] M Wara. Is the global carbon market working? Nature, 2007, 445(7128):595-596.
[31] K Buhr, A Hansson. Capturing the stories of corporations:A comparison of media debates on carbon capture and storage in Norway and Sweden. Global Environmental Change, 2011, 21(2):336-345.
[32] Y Han, W W Ho. Recent advances in polymeric membranes for CO2 capture. Chinese Journal of Chemical Engineering, 2018, 26(11):2238-2254.
[33] M Pérez-Fortes, J A Moya, K Vatopoulos, et al. CO2 capture and utilization in cement and iron and steel industries. Energy Procedia, 2014, 63:6534-6543.
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