Optimization and Design of General Machinery Production Line Management Process Based on Intelligent Computing Model
Machinery is the most important basic tool for modern times, and it is also an indispensable sharp weapon for creating big country projects. The production line management of general machinery is particularly important. Traditional production line management causes a lot of labor waste, time waste,...
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| Vydané v: | Journal of sensors Ročník 2022; s. 1 - 11 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
Hindawi
24.05.2022
John Wiley & Sons, Inc |
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| Abstract | Machinery is the most important basic tool for modern times, and it is also an indispensable sharp weapon for creating big country projects. The production line management of general machinery is particularly important. Traditional production line management causes a lot of labor waste, time waste, and low production efficiency, so the efficiency of production line management also determines the quality and output of general machinery. Therefore, it has become an industry consensus to realize intelligent management in the manufacturing process of general machinery. General machinery is not only a complex industrial structure but also has a series of preconditions that are not conducive to production, such as the diversity of parts and the low precision of preparation in the early stage. Therefore, to realize automation in the field of construction machinery manufacturing, it usually faces more challenges. Whether it is traditional production process or automatic production process, the realization of intelligent production line is the primary problem, because both production efficiency and product quality are determined by the efficient production line management efficiency and exquisite process. The workload of production line management is heavy, which is time-consuming, labor-consuming, and expensive. Adhere to the goal of quality first, and how to improve the efficiency of the production line has become the biggest problem at present. Based on the above problems, this paper adopts intelligent computing model to improve the efficiency of production line management and optimize the process. A series of tedious processes from product adoption to final shipment of production lines need intelligent technology to simplify the process, which can effectively improve the production efficiency of general machinery, reduce production costs, and improve the production quality of machinery. Supply chain management theory is used to manage suppliers’ production behavior, so as to reduce costs and improve quality and service, thus improving the competitiveness of batch production lines and enterprises. Advanced manufacturing technology is used to realize automation and flexible production of batch production lines, thus improving the rapid response ability of production lines to market demand. |
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| AbstractList | Machinery is the most important basic tool for modern times, and it is also an indispensable sharp weapon for creating big country projects. The production line management of general machinery is particularly important. Traditional production line management causes a lot of labor waste, time waste, and low production efficiency, so the efficiency of production line management also determines the quality and output of general machinery. Therefore, it has become an industry consensus to realize intelligent management in the manufacturing process of general machinery. General machinery is not only a complex industrial structure but also has a series of preconditions that are not conducive to production, such as the diversity of parts and the low precision of preparation in the early stage. Therefore, to realize automation in the field of construction machinery manufacturing, it usually faces more challenges. Whether it is traditional production process or automatic production process, the realization of intelligent production line is the primary problem, because both production efficiency and product quality are determined by the efficient production line management efficiency and exquisite process. The workload of production line management is heavy, which is time-consuming, labor-consuming, and expensive. Adhere to the goal of quality first, and how to improve the efficiency of the production line has become the biggest problem at present. Based on the above problems, this paper adopts intelligent computing model to improve the efficiency of production line management and optimize the process. A series of tedious processes from product adoption to final shipment of production lines need intelligent technology to simplify the process, which can effectively improve the production efficiency of general machinery, reduce production costs, and improve the production quality of machinery. Supply chain management theory is used to manage suppliers’ production behavior, so as to reduce costs and improve quality and service, thus improving the competitiveness of batch production lines and enterprises. Advanced manufacturing technology is used to realize automation and flexible production of batch production lines, thus improving the rapid response ability of production lines to market demand. |
| Author | Zeng, Haibin Liu, Jiahao Li, Zhenzu Xiang, Liyu Yu, Yuli Zeng, Junjie |
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| Cites_doi | 10.1088/1742-6596/1650/3/032167 10.32983/2222-4459-2020-5-451-457 10.1115/1.4049963 10.2478/ama-2019-0012 10.1007/s11465-020-0625-z 10.7326/M18-2257 10.1088/1742-6596/1820/1/012172 10.3390/en14020462 10.1088/1742-6596/1948/1/012177 10.31033/ijemr.10.4.8 10.1088/1755-1315/632/4/042063 10.1007/s35724-020-0128-9 10.1007/s00134-020-06316-8 10.1088/1757-899X/831/1/012009 10.1021/ar500359m 10.1051/ro/2021084 10.1088/1742-6596/1948/1/012153 10.17059/2018-3-23 10.1002/(SICI)1096-987X(19981115)19:14<1639::AID-JCC10>3.0.CO;2-B 10.1088/1742-6596/1965/1/012025 10.1155/2020/3674929 10.1088/1757-899X/801/1/012098 10.1109/TAP.2004.823969 10.1515/ijeeps-2020-0008 10.1088/1757-899X/801/1/012106 10.1109/JETCAS.2020.2992238 |
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| Copyright | Copyright © 2022 Zhenzu Li et al. Copyright © 2022 Zhenzu Li et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| SubjectTerms | Assembly lines Automation Batch production Computation Construction equipment Design optimization Efficiency Feasibility studies Flexible manufacturing systems Genetic algorithms Labor Machinery Management methods Mechanical engineering Optimization Process controls Production costs Production lines Project management Simulation Supply chains |
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| Title | Optimization and Design of General Machinery Production Line Management Process Based on Intelligent Computing Model |
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