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A combination of range-adjusted measure, cross-efficiency and assurance region for assessing sustainability of suppliers in the presence of undesirable factors

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  • Kamyar Hosseinzadeh Zoroofchi
  • Reza Farzipoor Saen
  • Payman Bayat Lari
  • Majid Azadi

Abstract

Assessing sustainability of suppliers and selecting the most sustainable supplier are the most important activities in sustainable supply chain management (SSCM). Data envelopment analysis (DEA) is frequently used to select suppliers. We extend range adjusted measure (RAM) model as one of the DEA models. We mix different models of RAM as well as cross-efficiency and assurance region methods when undesirable factors exist. Our model does not give zero results. This helps to incorporate all inputs and outputs in evaluating sustainability of suppliers. A real case study is provided.

Suggested Citation

  • Kamyar Hosseinzadeh Zoroofchi & Reza Farzipoor Saen & Payman Bayat Lari & Majid Azadi, 2018. "A combination of range-adjusted measure, cross-efficiency and assurance region for assessing sustainability of suppliers in the presence of undesirable factors," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 29(2), pages 163-176.
    • Handle: RePEc:ids:ijisen:v:29:y:2018:i:2:p:163-176
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    Cited by:

    1. 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.
    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.

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