LAPSE:2023.2107v1
Published Article
LAPSE:2023.2107v1
Energy-Saving and Efficient Equipment Selection for Machining Process Based on Business Compass Model
Yongmao Xiao, Jincheng Zhou, Ruping Wang, Xiaoyong Zhu, Hao Zhang
February 21, 2023
Abstract
The optimal selection of machine equipment can reduce the energy consumption and processing time of the parts processing process in enterprises. The energy consumption and time of using different equipment to process the same product vary greatly. Traditional equipment selection is only through qualitative analysis comparing the process characteristics of using different equipment or optimizing parameters for a single piece of equipment. It does not take into account the dynamics of the production process and does not consider the impact of process factors on production decisions. To solve this problem, we established a production equipment selection model based on the business compass model and proposed a calculation method that considered energy consumption and time objectives in the production process. Quantitative analysis can be performed for different equipment. The energy consumption and processing time of different equipment are calculated by the beetle antennae search (BAS) algorithm. A case study of machining end cap holes was carried out. The results showed that this method can calculate the optimal energy consumption and the optimal time of different equipment for producing the same product, which has good theoretical and practical significance for enterprises and governments to choose energy-saving and efficient production equipment.
Keywords
beetle antennae search algorithm, business compass, energy consumption, equipment selection decision, processing time
Suggested Citation
Xiao Y, Zhou J, Wang R, Zhu X, Zhang H. Energy-Saving and Efficient Equipment Selection for Machining Process Based on Business Compass Model. (2023). LAPSE:2023.2107v1
Author Affiliations
Xiao Y: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligen
Zhou J: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligen [ORCID]
Wang R: Management School, China West Normal University, Nanchong 637002, China [ORCID]
Zhu X: School of Economics & Management, Shaoyang University, Shaoyang 422099, China
Zhang H: College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Wulumuqi 830052, China
Journal Name
Processes
Volume
10
Issue
9
First Page
1846
Year
2022
Publication Date
2022-09-13
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10091846, Publication Type: Journal Article
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LAPSE:2023.2107v1
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https://doi.org/10.3390/pr10091846
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Feb 21, 2023
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