IDEAS home Printed from https://ideas.repec.org/a/igg/jamc00/v3y2012i1p48-64.html
   My bibliography  Save this article

Scheduling Cellular Manufacturing Systems Using ACO and GA

Author

Listed:
  • Mohammad T. Taghavifard

    (Allameh Tabataba’i University, Iran)

Abstract

In this paper, cellular manufacturing scheduling problems are studied. The objective is to minimize makespan (Cmax) considering part family in the manufacturing cell flow line where the setup times are sequence dependent. Minimizing Cmax will result in the increment of output rate and the speed of manufacturing systems which is the main goal of such systems. This problem is solved using Ant Colony Optimization (ACO), Genetic Algorithm (GA) operators, and local search technique. To show the validity of proposed approach, it is compared with a tailor-made heuristic algorithm, called SVS. The obtained results indicate that the proposed method is quite fast and efficient.

Suggested Citation

  • Mohammad T. Taghavifard, 2012. "Scheduling Cellular Manufacturing Systems Using ACO and GA," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 3(1), pages 48-64, January.
    • Handle: RePEc:igg:jamc00:v:3:y:2012:i:1:p:48-64
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jamc.2012010105
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Gómez, Javier & Chicaiza, William D. & Escaño, Juan M. & Bordons, Carlos, 2023. "A renewable energy optimisation approach with production planning for a real industrial process: An application of genetic algorithms," Renewable Energy, Elsevier, vol. 215(C).

    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:igg:jamc00:v:3:y:2012:i:1:p:48-64. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.