IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-368-9_25.html

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

In: Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023)

Author

Listed:
  • Jie Gan

    (Taiyuan University of Science and Technology, Institute of Industrial and System Engineering
    Shanxi Key Research Base for Humanities and Social Sciences: Equipment Manufacturing Industry Innovation and Development Research Center)

  • Yi Yang

    (Taiyuan University of Science and Technology, Institute of Industrial and System Engineering
    Shanxi Key Research Base for Humanities and Social Sciences: Equipment Manufacturing Industry Innovation and Development Research Center)

  • Bin Liu

    (Taiyuan University of Science and Technology, Institute of Industrial and System Engineering
    Shanxi Key Research Base for Humanities and Social Sciences: Equipment Manufacturing Industry Innovation and Development Research Center)

  • Xiaohong Zhang

    (Taiyuan University of Science and Technology, Institute of Industrial and System Engineering
    Shanxi Key Research Base for Humanities and Social Sciences: Equipment Manufacturing Industry Innovation and Development Research Center)

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.

Suggested Citation

  • Jie Gan & Yi Yang & Bin Liu & Xiaohong Zhang, 2024. "Research on Quality Measurement and Improvement Path of Shanxi Equipment Manufacturing Industry," Advances in Economics, Business and Management Research, in: Feng-xia Cao & Satya Narayan Singh & Ahmad Jusoh & Deepanjali Mishra (ed.), Proceedings of the 2023 5th International Conference on Economic Management and Cultural Industry (ICEMCI 2023), pages 205-214, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-368-9_25
    DOI: 10.2991/978-94-6463-368-9_25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:advbcp:978-94-6463-368-9_25. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.