4.7 Article

Energy-cyber-physical system enabled management for energy-intensive manufacturing industries

期刊

JOURNAL OF CLEANER PRODUCTION
卷 226, 期 -, 页码 892-903

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2019.04.134

关键词

Energy-intensive manufacturing industries; Energy-cyber-physical system; Cleaner production; Green manufacturing; Synergy

资金

  1. National Science Foundation of China [51675441, 51475096, U1501248]
  2. Fundamental Research Funds for the Central Universities [3102017jc04001]
  3. International Clean Energy Talent Program (iCET) of China Scholarship Council [Liujinfa[2017]5047, Liujinfa[2018]5032]

向作者/读者索取更多资源

Cleaner production is a green production way to minimize emissions and waste as well as maximize product output. Cleaner production has proven itself as an effective way to reduce energy consumption and improve material utilization during the whole manufacturing process. However, the implementation of cleaner production strategy is facing barriers due to the lack of applying advanced technologies such as cloud manufacturing, Internet of Things, and cyber-physical system. Based on these advanced technologies, this paper presents an architecture of energy-cyber-physical system enabled management for energy-intensive manufacturing industries to promote the implementation of cleaner production strategy. An energy-cyber-physical system enabled green manufacturing model for the future smart factory is proposed. Then the qualitative and quantitative synergetic models based on energy-cyber-physical system are developed for cleaner manufacturing. Finally, an application of a partner company is presented to demonstrate the proposed framework and synergistic models. The results show that energy consumption can be greatly reduced using synergistic evaluation models. Further managerial implications are summarized to increase the level of synergy of energy-cyber-physical system, which can achieve cleaner production strategy by making energy-efficient decisions from different departments. (C) 2019 Elsevier Ltd. All rights reserved.

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