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A supplier selection problem in petrochemical industry using common weight data envelopment analysis with qualitative criteria

Author

Listed:
  • Ali Ahmadi Bafrooei
  • Hassan Mina
  • Seyed Farid Ghaderi

Abstract

In comparison to other organisations and firms, supplier selection is much more critical in petrochemical industry and it is more emphasised in Iran for some especial condition of country. As the selection procedure is very complicated, it is required to make it easy while the accuracy is maintained. In this paper a supplier selection problem in petrochemical industry with qualitative criteria, which is more comfortable for organisation to map their vision about suppliers, and a new critical criterion which is called executive capabilities is presented. This criterion is based on the experiments of authors and other experts in the scope of petrochemical industry. In order to handle the qualitative criteria and have a fair comparison of alternatives, a common weight DEA-MCDA model is applied to rank the suppliers. The primary results show the importance of new criterion in selection of suppliers in the field of petrochemical industry.

Suggested Citation

  • Ali Ahmadi Bafrooei & Hassan Mina & Seyed Farid Ghaderi, 2014. "A supplier selection problem in petrochemical industry using common weight data envelopment analysis with qualitative criteria," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 18(3), pages 404-417.
    • Handle: RePEc:ids:ijisen:v:18:y:2014:i:3:p:404-417
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    Citations

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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. Alaa Alden Al Mohamed & Sobhi Al Mohamed, 2023. "Application of fuzzy group decision-making selecting green supplier: a case study of the manufacture of natural laurel soap," Future Business Journal, Springer, vol. 9(1), pages 1-20, December.

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