IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v8y2017i1d10.1007_s13198-016-0504-5.html
   My bibliography  Save this article

An integrated production scheduling model for multi-product orders in VCIM systems

Author

Listed:
  • Son Duy Dao

    (University of South Australia)

  • Kazem Abhary

    (University of South Australia)

  • Romeo Marian

    (University of South Australia)

Abstract

Virtual computer-integrated manufacturing (VCIM) is a global integrated manufacturing system, capable of exploiting the locally as well as globally distributed resources. Production scheduling is one of the critical factors to the success of VCIM systems. In this paper, a VCIM integrated production scheduling model is proposed which allows optimisation of the production scheduling of simultaneous multiple product orders. In the model, two major issues of the production scheduling, namely agent selection and collaborative shipment scheduling for multiple product orders, are fully integrated together to take advantage of the shipment collaboration. The effectiveness of the proposed model is demonstrated by a comprehensive case study with the aid of Genetic Algorithm solver in Matlab. The achievements of this study can serve as the fundamental steps towards the developing a decision support system capable of helping decision makers to operate VCIM systems more effectively.

Suggested Citation

  • Son Duy Dao & Kazem Abhary & Romeo Marian, 2017. "An integrated production scheduling model for multi-product orders in VCIM systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 12-27, March.
  • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-016-0504-5
    DOI: 10.1007/s13198-016-0504-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0504-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-016-0504-5?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. Kavita Gupta & Ritu Arora, 2018. "Solving the problem of industry by formulating it as a fractional capacitated transportation problem with bounds on rim conditions," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 509-516, April.

    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:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-016-0504-5. 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.