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Low-Carbon-Driven Product Life-Cycle Process Optimization Framework for Manufacturing Equipment

Author

Listed:
  • Qi Lu

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
    Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Qi Zhang

    (School of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Guanghui Zhou

    (School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
    State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710054, China)

Abstract

Because of the increasing concern regarding environmental sustainability, manufacturing equipment faces a challenge to optimize carbon emissions from a life-cycle perspective. Current approaches lack the overall low-carbon optimization flow guidance needed in order to take effective measures for manufacturing equipment. Consequently, this paper proposes a framework of low-carbon optimization for manufacturing equipment. Firstly, a four-layer framework for low-carbon optimization processes is established, consisting of the optimization operation layer, life-cycle layer, optimization method layer, and tools and data layer. Then, the characteristics, functions, and technologies involved in the four layers are elaborated on in detail. Finally, the honing machine considering the reduction of carbon emissions is given as an example. The results indicate that by using the proposed methodology effectively, the carbon emissions of the lower column, a key part of the honing machine, can be reduced by 4.38% without sacrificing structure performance. The framework can provide specific guidance on achieving a low-carbon optimization process and contribute to the sustainable development of energy-intensive manufacturing industries.

Suggested Citation

  • Qi Lu & Qi Zhang & Guanghui Zhou, 2023. "Low-Carbon-Driven Product Life-Cycle Process Optimization Framework for Manufacturing Equipment," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7663-:d:1141042
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    References listed on IDEAS

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    2. Zhaohui Deng & Lishu Lv & Wenliang Huang & Linlin Wan & Shichun Li, 2020. "Modelling of carbon utilisation efficiency and its application in milling parameters optimisation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(8), pages 2406-2420, April.
    3. Jia, Shun & Yuan, Qinghe & Lv, Jingxiang & Liu, Ying & Ren, Dawei & Zhang, Zhongwei, 2017. "Therblig-embedded value stream mapping method for lean energy machining," Energy, Elsevier, vol. 138(C), pages 1081-1098.
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