Machine manufacturing process improvement and optimisation

Authors

  • Yaoyao Wang
  • Suchang Ma
  • Jun Wang
  • Haifeng Wang
  • Wenying Pu

DOI:

https://doi.org/10.54097/hset.v62i.10434

Keywords:

machine manufacturing processes, improvement, optimisation, productivity, production costs.

Abstract

The improvement and optimisation of machine manufacturing processes is crucial to the development of modern manufacturing. By improving processes, introducing advanced technologies and increasing production efficiency, companies can achieve lower production costs, higher quality products and shorter production times. This issue of the journal focuses on practical experience and technological exploration of process improvement and optimisation in machine manufacturing, with the aim of providing readers with the latest research and developments in this field. This article explores the application of automation technology, artificial intelligence and machine learning, data analytics and big data, and 3D printing technology in machine manufacturing process improvement. Through case studies, we will showcase some successful examples of machine manufacturing process improvement across different industries and company sizes. At the same time, we will explore the challenges of machine manufacturing process improvement and propose solutions. Finally, we will look at future trends and developments in machine manufacturing process improvement to provide readers with an in-depth understanding of the field.

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References

Zhang Yuming. Research on the improvement and optimization of machine manufacturing process[J]. Manufacturing Technology, 2018, 37(2): 45-52.

Li Weiqiang. Application and prospect of advanced technology in machine manufacturing process[J]. Mechanical Engineering and Automation, 2019, 46(5): 78-85.

Chen, C. H. Analysis of the application of automation technology in machine manufacturing process optimization [J]. Machine Manufacturing and Automation, 2020, 39(3): 32-39.

Zhao L. A review of research on optimization and control of machine manufacturing processes [J]. Modern Manufacturing Engineering, 2017, 36(1): 54-60.

Huang YH. Research on the application of data analysis in machine manufacturing process improvement[J]. China Engineering Science, 2018, 20(4): 65-72.

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Published

27-07-2023