IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i11p3193-3206.html
   My bibliography  Save this article

Demand satisfaction and decision-making for a PCB manufacturing system with production lines in parallel

Author

Listed:
  • Yi-Kuei Lin
  • Ping-Chen Chang

Abstract

This paper studies demand satisfaction and decision-making for a printed circuit board (PCB) manufacturing system. A performance indicator, the system reliability, is proposed to evaluate the demand satisfaction. In particular, two important characteristics, (i) multiple production lines in parallel and (ii) multiple repair actions, are considered in this study. The PCB manufacturing system is modelled as a stochastic-flow manufacturing network (SFMN) by the graphical transformation and decomposition techniques. Based on the network-structured SFMN, this paper develops an algorithm to generate all minimal capacity vectors that workstations should provide to satisfy a given demand. In terms of all minimal capacity vectors, the system reliability is derived. In addition, the reliable production policy is determined based on each single minimal capacity vector.

Suggested Citation

  • Yi-Kuei Lin & Ping-Chen Chang, 2015. "Demand satisfaction and decision-making for a PCB manufacturing system with production lines in parallel," International Journal of Production Research, Taylor & Francis Journals, vol. 53(11), pages 3193-3206, June.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:11:p:3193-3206
    DOI: 10.1080/00207543.2014.965851
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.965851
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2014.965851?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. Ding Zhang & Yi Luo & Qiang Liu, 2024. "Reliability evaluation of production systems with finite buffers subject to time-dependent and operation-dependent failures," Annals of Operations Research, Springer, vol. 340(1), pages 671-691, September.
    2. Ping-Chen Chang, 2019. "Reliability estimation for a stochastic production system with finite buffer storage by a simulation approach," Annals of Operations Research, Springer, vol. 277(1), pages 119-133, June.
    3. Vinod Kumar Chauhan & Mark Bass & Ajith Kumar Parlikad & Alexandra Brintrup, 2024. "Trolley Optimisation for Loading Printed Circuit Board Components," SN Operations Research Forum, Springer, vol. 5(3), pages 1-17, September.
    4. Cheng-Ta Yeh & Louis Cheng-Lu Yeng & Yi-Kuei Lin & Yu-Lun Chao, 2024. "A hybrid method to solve reliability-cost-oriented bi-objective machine configuration problem for a flow shop system," Annals of Operations Research, Springer, vol. 340(1), pages 643-669, September.

    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:53:y:2015:i:11:p:3193-3206. 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.