IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v53y2015i6p1832-1848.html
   My bibliography  Save this article

A hybrid algorithm for total tardiness minimisation in flexible job shop: genetic algorithm with parallel VNS execution

Author

Listed:
  • Alper Türkyılmaz
  • Serol Bulkan

Abstract

This paper addresses the flexible-job-shop scheduling problem (FJSP) with the objective of minimising total tardiness. FJSP is the generalisation of the classical job-shop scheduling problem. The difference is that in the FJSP problem, the operations associated with a job can be processed on any set of alternative machines. We developed a new algorithm by hybridising genetic algorithm and variable neighbourhood search (VNS). The genetic algorithm uses advanced crossover and mutation operators to adapt the chromosome structure and the characteristics of the problem. Parallel-executed VNS algorithm is used in the elitist selection phase of the GA. Local search in VNS uses assignment of operations to alternative machines and changing of the order of the selected operation on the assigned machine to increase the result quality while maintaining feasibility. The purpose of parallelisation in the VNS algorithm is to minimise execution time. The performance of the proposed method is validated by numerical experiments on several representative problems and compared with adapted constructive heuristic algorithms’ (earliest due date, critical ratio and slack time per remaining operation) results.

Suggested Citation

  • Alper Türkyılmaz & Serol Bulkan, 2015. "A hybrid algorithm for total tardiness minimisation in flexible job shop: genetic algorithm with parallel VNS execution," International Journal of Production Research, Taylor & Francis Journals, vol. 53(6), pages 1832-1848, March.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:6:p:1832-1848
    DOI: 10.1080/00207543.2014.962113
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2014.962113
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2014.962113?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. Miguel A. Ortíz & Leidy E. Betancourt & Kevin Parra Negrete & Fabio Felice & Antonella Petrillo, 2018. "Dispatching algorithm for production programming of flexible job-shop systems in the smart factory industry," Annals of Operations Research, Springer, vol. 264(1), pages 409-433, May.
    2. Zeynep Ceylan & Hakan Tozan & Serol Bulkan, 2021. "A coordinated scheduling problem for the supply chain in a flexible job shop machine environment," Operational Research, Springer, vol. 21(2), pages 875-900, June.

    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:6:p:1832-1848. 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.