IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v59y2021i14p4205-4227.html
   My bibliography  Save this article

Manufacturing process similarity measurement model and application based on process constituent elements

Author

Listed:
  • Zhongyi Wu
  • Weidong Liu
  • Weijie Zheng
  • Wenbin Nie
  • Zhenzhen Li

Abstract

Planners and designers of production systems must frequently evaluate the similarities in the manufacturing process of various products to achieve efficient and economical production. The purpose is to reasonably arrange mixed production. The similarity of manufacturing technique processes is an important basis for classifying product manufacturing processes. This study proposes an innovative method based on process constituent elements model to objectively calculate the similarity of product manufacturing processes. Firstly, the similarity model of the manufacturing technique process is established on the basis of six dimensions of process constituent elements, namely, input, output, resource, environment, value-added processing activity and quality control & inspection. Secondly, the characteristics of the six dimensions of the process constituent elements are determined. Corresponding methods are applied to solve the similarity of process constituent elements in each dimension on the basis of the characteristic attributes of process constituent elements of different dimensions. Thirdly, extended interval analytic hierarchy process and quantitative calculation method based on angle information entropy are integrated to determine the weights of dimensions of the six elements. Lastly, the proposed method is applied to the process classification of a group of product manufacturing technique processes, and the feasibility and effectiveness of the method are proven.

Suggested Citation

  • Zhongyi Wu & Weidong Liu & Weijie Zheng & Wenbin Nie & Zhenzhen Li, 2021. "Manufacturing process similarity measurement model and application based on process constituent elements," International Journal of Production Research, Taylor & Francis Journals, vol. 59(14), pages 4205-4227, July.
  • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:14:p:4205-4227
    DOI: 10.1080/00207543.2020.1759838
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2020.1759838
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2020.1759838?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:tprsxx:v:59:y:2021:i:14:p:4205-4227. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.