IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-29057-5_13.html
   My bibliography  Save this book chapter

A review and comparison of hybrid and pull-type production control strategies

In: Stochastic Modeling of Manufacturing Systems

Author

Listed:
  • John Geraghty

    (Dublin City University, Glasnevin)

  • Cathal Heavey

    (University of Limerick)

Abstract

In order to overcome the disadvantages of Kanban Control Strategy (KCS) in non-repetitive manufacturing environments, two research approaches have been followed in the literature in past two decades. The first approach has been concerned with developing new, or combining existing, pull-type production control strategies in order to maximise the benefits of pull control while increasing the ability of a production system to satisfy demand. The second approach has focused on how best to combine Just-In-Time (JIT) and Material-Requirements-Planning (MRP) philosophies in order to maximise the benefits of pull control in non-repetitive manufacturing environments. This paper provides a review of the research activities in these two approaches, presents a comparison between a Production Control Strategy (PCS) from each approach, and presents a comparison of the performance of several pull-type production control strategies in addressing the Service Level vs. WIP trade-off in an environment with low variability and a light-to-medium demand load.

Suggested Citation

  • John Geraghty & Cathal Heavey, 2006. "A review and comparison of hybrid and pull-type production control strategies," Springer Books, in: George Liberopoulos & Chrissoleon T. Papadopoulos & Barış Tan & J. M. Smith & Stanley B. Gershwin (ed.), Stochastic Modeling of Manufacturing Systems, pages 307-329, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-29057-5_13
    DOI: 10.1007/3-540-29057-5_13
    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.

    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:978-3-540-29057-5_13. 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.