IDEAS home Printed from https://ideas.repec.org/a/osi/bulimm/v10y2010p185-197.html
   My bibliography  Save this article

Quick Response Manufacturing(QRM) as a Reaction of Production Logistics on Cooperation with Retailers

Author

Listed:
  • Dario Dunkovic

    (Koordinacija)

  • Goran Jukic

    (Institute for Seed and Seedlings)

Abstract

Paper analyses the origination of changes in modern production logistics taking into account assumption that those changes were actuated by development of business relationship modes at the end of supply chain. Producers are expected more and more to adjust production dynamics and capacities to market demand in order to gain shorter lead time. The appearance and application of new market attendance strategies as quick response (QR) requires appropriate adaptations in production logistics which Suri named "Quick Response Manufacturing" (QRM). Participation in QR program needs mutual adaptation in the roles from both sides in logistics and supply chain. Other participants must serve and conform tothe imposed rules from ones who are more powerful in the chain and that are retailers. In such analysis it is indispensably to estimate the effect of popular information systems. Contribution of the paper reflects distinctive advantages of QRM over other widespread commonly used production logistics programs and show how its utilization can generally improve producer's competitive position in logistics chain with privileged retailer.

Suggested Citation

  • Dario Dunkovic & Goran Jukic, 2010. "Quick Response Manufacturing(QRM) as a Reaction of Production Logistics on Cooperation with Retailers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 10, pages 185-197.
    • Handle: RePEc:osi:bulimm:v:10:y:2010:p:185-197
    as

    Download full text from publisher

    File URL: http://www.efos.unios.hr/repec/osi/bulimm/PDF/BusinessLogisticsinModernManagement10/blimm1010.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Yue, Guo & Tailai, Guo & Dan, Wei, 2021. "Multi-layered coding-based study on optimization algorithms for automobile production logistics scheduling," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

    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:osi:bulimm:v:10:y:2010:p:185-197. 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: Davor Dujak,PhD (email available below). General contact details of provider: https://edirc.repec.org/data/efosihr.html .

    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.