Optimization and Design of General Machinery Production Line Management Process Based on Intelligent Computing Model

Author:

Li Zhenzu1,Yu Yuli1ORCID,Zeng Junjie1,Xiang Liyu2,Liu Jiahao3,Zeng Haibin4

Affiliation:

1. School of Business Administration, Zhuhai College of Science and Technology, Zhuhai, Guangdong 519040, China

2. School of Urban Culture, South China Normal University, Foshan, Guangdong 528225, China

3. School of Economical law, Southwest University of Political Science & law, Chongqing 401120, China

4. Department of Law, Guangdong Police College, Guangzhou, Guangdong 510230, China

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.

Funder

National Innovation and Entrepreneurship Training Program for College Students

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

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