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Data-driven sustainability evaluation of machining system: a case study

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Abstract

Improving resource efficiency and reducing waste discharge are the inevitable trends of the development of sustainable machining system. Therefore, a data-driven sustainability evaluation method of machining system is proposed. The input (energy, materials, equipment, R&D, and services) and output (wastes and products) data of machining system are collected. These dimensional data are processed by emergy. The emergy flow calculation model of the machining process is established for data modeling, and the sustainability evaluation index of machining system is constructed for data analysis. Finally, an engine base machining process is taken as a case study for innovative practice, and the targeted process optimization is adopted based on its sustainability evaluation for innovative practice. The feasibility and effectiveness of the method are verified. This study provides theoretical and methodological support for promoting the sustainability of the manufacturing industry.

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All data generated or analyzed during this study are included in this published article.

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Funding

This work was supported by Natural Science Foundation of Anhui Province (2008085ME150, 2008085QE265), China Social Science Foundation (20BGL108), Academic support project for top-notch talents in disciplines (majors) of colleges and universities in Anhui Province (gxbjzd2021083), and Anhui Major Science and Technology Project (18030901023).

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Authors and Affiliations

  1. School of Mechanical and Electronic Engineering, Suzhou University, Suzhou, 234000, China

    Cuixia Zhang, Conghu Liu, Guang Zhu, Wenyi Li & Mengdi Gao

  2. Business School, Suzhou University, Suzhou, 234000, China

    Cui Wang

  3. School of Economics and Management, Tsinghua University, Beijing, 100084, China

    Conghu Liu

Authors
  1. Cuixia Zhang
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  2. Cui Wang
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  3. Conghu Liu
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  4. Guang Zhu
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  5. Wenyi Li
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  6. Mengdi Gao
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Contributions

Cuixia Zhang and Cui Wang contributed to the conception of the study; Conghu Liu and Guang Zhu performed the experiment; Conghu Liu and Wenyi Li contributed significantly to the analysis and manuscript preparation; Cuixia Zhang and Cui Wang performed the data analyses and wrote the manuscript; Mengdi Gao and Wenyi Li helped perform the analysis with constructive discussions.

Corresponding author

Correspondence to Cui Wang.

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Zhang, C., Wang, C., Liu, C. et al. Data-driven sustainability evaluation of machining system: a case study. Int J Adv Manuf Technol 117, 775–784 (2021). https://doi.org/10.1007/s00170-021-07779-9

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  • DOI: https://doi.org/10.1007/s00170-021-07779-9

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