Research on Quality Measurement and Improvement Path of Shanxi Equipment Manufacturing Industry

DOI

10.2991/978-94-6463-368-9_25How to use a DOI?

Keywords

intelligent manufacturing; Green manufacturing; Production level; Service awareness; Quality measurement; Upgrade Path

Abstract

The equipment manufacturing industry is the third largest pillar industry in Shanxi Province, and its quality measurement index is an important reflection of the development of Shanxi’s equipment manufacturing industry and a key factor in leveraging the new competitive advantages of Shanxi’s industry. Based on the actual situation in 2011–2021, the specific evaluation indicators are formulated from the four links of “intelligent manufacturing - production level - green manufacturing - service awareness”, and the equipment manufacturing industry in Shanxi Province is measured by the method of combining analytic hierarchy process and entropy method. Research has found that intelligent manufacturing and green manufacturing have contributed significantly to the quality measurement process in the equipment manufacturing industry. Intelligent manufacturing can improve the efficiency and reliability of green manufacturing, and green manufacturing can improve the environmental protection and sustainability of intelligent manufacturing. The two are complementary. Therefore, the improvement path for the equipment manufacturing industry in Shanxi Province lies in further developing intelligent manufacturing, continuing to promote high-end development, accelerating the promotion of green and low carbon upgrading and transformation, and achieving coordinated development of informatization, intelligence, and industrialization.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jie Gan
AU  - Yi Yang
AU  - Bin Liu
AU  - Xiaohong Zhang
PY  - 2024
DA  - 2024/02/14
TI  - Research on Quality Measurement and Improvement Path of Shanxi Equipment Manufacturing Industry
BT  - Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)
PB  - Atlantis Press
SP  - 205
EP  - 214
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-368-9_25
DO  - 10.2991/978-94-6463-368-9_25
ID  - Gan2024
ER  -