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

Shuaiyin Ma, Yingfeng Zhang, Jingxiang Lv, Haidong Yang, Jianzhong Wu

科研成果: 期刊稿件文章同行评审

111 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)892-903
页数12
期刊Journal of Cleaner Production
226
DOI
出版状态已出版 - 20 7月 2019

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