IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-7071-9_8.html
   My bibliography  Save this book chapter

A Study on Mathematical Models for Transforming the Job-Shop Layout Into Flow-Shop Layout

In: Advances in Digital Manufacturing Systems

Author

Listed:
  • Chandrasekharan Rajendran

    (Indian Institute of Technology Madras)

  • Sakthivel Madankumar

    (Trimble Inc.)

  • Hans Ziegler

    (University of Passau)

Abstract

In this paper, we study the problem of transforming a job-shop layout into a flow-shop layout by introducing additional machines, so that all job-related operations can be processed in a flow-shop layout. The objective is to find the shortest sequence of machines, so that the overhead of introducing additional machines can be reduced. This transformation of job-shop layout into flow-shop layout has the advantage of automating the flow-line, which is an important step in digital manufacturing. The study first focuses on a special case (which is studied generally in the literature) where all the jobs would have the same and equal number of operations to be performed in a job-shop, but each job has a different machine routing when compared to other jobs. We propose a Mixed Integer Liner Programming (MILP) model for solving this special case. Further, in order to evaluate the performance of the proposed MILP model, we compare the same with an existing model in literature. From the results, we confirm that the proposed model is superior in terms of the CPU time, in solving the problem instances considered for the study. The study also extends this special case, and considers the generalized case where jobs could have different number of operations, and the study proposes a comprehensive MILP model for solving the generalized case.

Suggested Citation

  • Chandrasekharan Rajendran & Sakthivel Madankumar & Hans Ziegler, 2023. "A Study on Mathematical Models for Transforming the Job-Shop Layout Into Flow-Shop Layout," Springer Books, in: R. K. Amit & Kulwant S. Pawar & R. P. Sundarraj & Svetan Ratchev (ed.), Advances in Digital Manufacturing Systems, pages 153-164, Springer.
  • Handle: RePEc:spr:sprchp:978-981-19-7071-9_8
    DOI: 10.1007/978-981-19-7071-9_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-981-19-7071-9_8. 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.