IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v41y2009i4p323-334.html
   My bibliography  Save this article

Quality-assured setup planning based on the stream-of-variation model for multi-stage machining processes

Author

Listed:
  • Jian Liu
  • Jianjun Shi
  • S. Hu

Abstract

Setup planning is a set of activities used to arrange manufacturing features into an appropriate sequence for processing. It has significant impact on the product quality, which is often measured in terms of dimensional variation in key product characteristics. Current approaches to setup planning are experience-based and tend to be conservative due to the selection of unnecessarily precise machines and fixtures to ensure final product quality. This is especially true in multi-stage machining processes (MMPs) since it is difficult to predict variation propagation and its impact on the quality of the final product. In this paper, a methodology is proposed to realize cost-effective, quality-assured setup planning for MMPs. Setup planning is formulated as an optimization problem based on quantitative evaluation of variation propagations. The optimal setup plan minimizes the cost related to process precision and satisfies the quality specifications. The proposed approach can significantly improve the effectiveness as well as the efficiency of the setup planning for MMPs.

Suggested Citation

  • Jian Liu & Jianjun Shi & S. Hu, 2009. "Quality-assured setup planning based on the stream-of-variation model for multi-stage machining processes," IISE Transactions, Taylor & Francis Journals, vol. 41(4), pages 323-334.
  • Handle: RePEc:taf:uiiexx:v:41:y:2009:i:4:p:323-334
    DOI: 10.1080/07408170802108526
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/07408170802108526
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/07408170802108526?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bera, Sasadhar & Mukherjee, Indrajit, 2016. "A multistage and multiple response optimization approach for serial manufacturing system," European Journal of Operational Research, Elsevier, vol. 248(2), pages 444-452.
    2. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint," Omega, Elsevier, vol. 61(C), pages 110-126.

    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:uiiexx:v:41:y:2009:i:4:p:323-334. 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/uiie .

    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.