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An Energy Efficiency Improvement Method for Manufacturing Process Based on ECRSR

Haiming Sun1,3, Quande Dong2,*, Cuixia Zhang2, Jianqing Chen3,4

1 School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, 442002, China
2 School of Information Engineering, Suzhou University, Suzhou, 234000, China
3 School of Mechanical Engineering, Hefei University of Technology, Hefei, 30009, China
4 School of Engineering, Huzhou University, Huzhou, 313000, China

* Corresponding Author: Quande Dong. Email: email

Energy Engineering 2020, 117(3), 153-164. https://doi.org/10.32604/EE.2020.010706

Abstract

The improvement of energy efficiency is considered as one of the keys to the sustainable development of manufacturing enterprises. This paper proposes an energy efficiency improvement method for the manufacturing process. Based on the analysis of the characteristics of energy consumption in the manufacturing process, a necessary energy consumption model, an assistant energy consumption model and an ineffective energy consumption model are constructed for identifying the energy consumption attributes of the manufacturing process. Then, the relationship model of energy consumption is built, and the energy efficiency improvement method for the manufacturing process is proposed based on ECRSR (Elimination, Combination, Rearrangement, Simplification and Recovery). Finally, an injection molding machine in a workshop is studied as a case. The results show that the average hourly power-saving rate of a single machine is 37.3%, and the average power-saving rate per piece is 30.9%. This paper provides a feasible method for improving energy efficiency of the manufacturing process from the perspective of IE (Industrial Engineering), and provides both theoretical and methodological support for the sustainable development of the manufacturing industry.

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Sun, H., Dong, Q., Zhang, C., Chen, J. (2020). An Energy Efficiency Improvement Method for Manufacturing Process Based on ECRSR. Energy Engineering, 117(3), 153–164. https://doi.org/10.32604/EE.2020.010706

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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