IDEAS home Printed from https://ideas.repec.org/a/ids/ijmcdm/v5y2015i1-2p87-108.html
   My bibliography  Save this article

A strategic model for selecting the location of furniture factories: a case of the study of furniture

Author

Listed:
  • Majid Azizi
  • Nemat Mohebbi
  • Rahim Mohebbi Gargari
  • Mohsen Ziaie

Abstract

Selecting the best place for a factory among some proposed locations based on various indices is a decision-making multi-criteria issue. This issue is one of the most critical steps in establishing the factory since the results of this decision will have economically, socially, environmentally and technologically significant effects in the long-run. Selecting the most appropriate provinces for establishing new manufacturing units of wooden furniture in Iran is the purpose of this study. Effective indicators in the location of the furniture industry were identified and a hierarchy was constructed based on five major groups of criteria. The weight of the indicators was then established by analytical hierarchy process. The amounts of the indicators with regard to alternatives were obtained from factories in public and private sectors. These weights were employed in TOPSIS to rank the alternatives. Finally, the potential provinces were identified according to the priorities obtained by this technique. The results indicated that Qom, Tehran and Razavi Khorasan provinces were the best priorities for establishing furniture industry plants.

Suggested Citation

  • Majid Azizi & Nemat Mohebbi & Rahim Mohebbi Gargari & Mohsen Ziaie, 2015. "A strategic model for selecting the location of furniture factories: a case of the study of furniture," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 5(1/2), pages 87-108.
    • Handle: RePEc:ids:ijmcdm:v:5:y:2015:i:1/2:p:87-108
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=67939
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Agus Ristono & Tri Wahyuningsih & Eko Junianto, 2020. "Proposed Method for Supplier Selection," Technium Social Sciences Journal, Technium Science, vol. 13(1), pages 376-394, November.
    2. Fatih Topaloğlu, 2024. "Development of a new hybrid method for multi-criteria decision making (MCDM) approach: a case study for facility location selection," Operational Research, Springer, vol. 24(4), pages 1-23, December.

    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:ids:ijmcdm:v:5:y:2015:i:1/2:p:87-108. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=350 .

    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.