IDEAS home Printed from https://ideas.repec.org/a/vrs/msudev/v10y2018i2p33-43n6.html
   My bibliography  Save this article

Optimal Operation and Scheduling of Parallel Machines in Jobshop Environments

Author

Listed:
  • Faccio Maurizio
  • Nedaei Mojtaba

    (Department of Management and Engineering,Vicenza, Italy)

Abstract

Scheduling of machines together with the optimization of the energy consumption (EC) play a crucial role in every manufacturing system. The current paper aims to present a multi-objective optimization approach for planning and scheduling of a manufacturing system in a job-shop environment. First, an inclusive review and comparison of the latest advancements in this field was performed. Then, a manufacturing system in a job-shop environment, which consists of six designed machines with zero buffer capacity, and 53 jobs, was simulated. Four heuristics for the purpose of sequencing are adopted during the analysis process. A comparison of the optimum results suggested the most efficient values for the EC, make-span, and tardiness. The EC variations and processing time of the machines were studied under sequencing rules to let the designers exploring more efficient solutions, and planning strategies towards enhancing the performance and reliability of studied machines. Next step of this study was to estimate the optimum completion time of each process in the considered manufacturing system and with consideration of the proposed scheduling methods.

Suggested Citation

  • Faccio Maurizio & Nedaei Mojtaba, 2018. "Optimal Operation and Scheduling of Parallel Machines in Jobshop Environments," Management of Sustainable Development, Sciendo, vol. 10(2), pages 33-43, December.
    • Handle: RePEc:vrs:msudev:v:10:y:2018:i:2:p:33-43:n:6
    DOI: 10.2478/msd-2019-0006
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/msd-2019-0006
    Download Restriction: no
    File URL: https://libkey.io/10.2478/msd-2019-0006?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
    ---><---

    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:vrs:msudev:v:10:y:2018:i:2:p:33-43:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.