IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v25y2017i2p160-181.html
   My bibliography  Save this article

Green supplier selection: a novel fuzzy double frontier data envelopment analysis model to deal with undesirable outputs and dual-role factors

Author

Listed:
  • Majid Azadi
  • Seyed Mostafa Mirhedayatian
  • Reza Farzipoor Saen
  • Mahshid Hatamzad
  • Ehsan Momeni

Abstract

In recent years, green movements, governments and institutions have forced many companies to improve their environmental performance. As a result of this growing interest in the environment, many companies have created integrated relationships with their suppliers to present green products and services. In public transportation sector, the evaluation and selection of appropriate green suppliers according to green supply chain management (GSCM) criteria is necessary for the sustainable development of urban transportation system. Among many evaluation selection methods, data envelopment analysis (DEA) is an appropriate method for green supplier selection. In this paper, to select green suppliers, we propose a new fuzzy double frontier DEA model in the presence of undesirable outputs and dual-role factors. A case study is presented to illustrate the applicability of the proposed model.

Suggested Citation

  • Majid Azadi & Seyed Mostafa Mirhedayatian & Reza Farzipoor Saen & Mahshid Hatamzad & Ehsan Momeni, 2017. "Green supplier selection: a novel fuzzy double frontier data envelopment analysis model to deal with undesirable outputs and dual-role factors," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 25(2), pages 160-181.
    • Handle: RePEc:ids:ijisen:v:25:y:2017:i:2:p:160-181
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=81516
    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. Luísa Pinto, 2020. "Green supply chain practices and company performance in Portuguese manufacturing sector," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 1832-1849, July.
    2. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.
    3. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.
    4. Mohammad Reza Mozaffari & Sahar Ostovan & Peter Fernandes Wanke, 2020. "A Hybrid Genetic Algorithm-Ratio DEA Approach for Assessing Sustainable Efficiency in Two-Echelon Supply Chains," Sustainability, MDPI, vol. 12(19), pages 1-17, September.

    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:ijisen:v:25:y:2017:i:2:p:160-181. 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=188 .

    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.