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A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors

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  • Reza Farzipoor Saen

Abstract

Selecting an appropriate supplier for outsourcing is now one of the most important decisions of the purchasing department. This paper proposes a model for ranking suppliers in the presence of weight restrictions, nondiscretionary factors, and cardinal and ordinal data. A numerical example demonstrates the application of the proposed method. Copyright Springer Science+Business Media, LLC 2009

Suggested Citation

  • Reza Farzipoor Saen, 2009. "A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors," Annals of Operations Research, Springer, vol. 172(1), pages 177-192, November.
    • Handle: RePEc:spr:annopr:v:172:y:2009:i:1:p:177-192:10.1007/s10479-009-0556-x
    DOI: 10.1007/s10479-009-0556-x
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    References listed on IDEAS

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    2. R Farzipoor Saen, 2009. "Supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1575-1582, November.
    3. K S Park, 2004. "Simplification of the transformations and redundancy of assurance regions in IDEA (imprecise DEA)," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(12), pages 1363-1366, December.
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    Citations

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    Cited by:

    1. Tavassoli, Mohammad & Faramarzi, Gholam Reza & Farzipoor Saen, Reza, 2014. "Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input," Journal of Air Transport Management, Elsevier, vol. 34(C), pages 146-153.
    2. Alireza Karimi & Saeed Jafarzadeh-Ghoushchi & M. A. Mohtadi-Bonab, 2020. "Presenting a new model for performance measurement of the sustainable supply chain of Shoa Panjereh Company in different provinces of Iran (case study)," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 140-154, February.
    3. Mohammad Izadikhah & Reza Farzipoor Saen & Razieh Roostaee, 2018. "How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?," Annals of Operations Research, Springer, vol. 269(1), pages 241-267, October.
    4. Azadi, Majid & Farzipoor Saen, Reza, 2013. "A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare," Socio-Economic Planning Sciences, Elsevier, vol. 47(4), pages 281-291.
    5. Hossein Azizi, 2013. "A note on “A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscriminatory factors”," Annals of Operations Research, Springer, vol. 211(1), pages 49-54, December.
    6. Mohammad Izadikhah & Reza Farzipoor Saen, 2020. "Ranking sustainable suppliers by context-dependent data envelopment analysis," Annals of Operations Research, Springer, vol. 293(2), pages 607-637, October.
    7. Shabani, Amir & Visani, Franco & Barbieri, Paolo & Dullaert, Wout & Vigo, Daniele, 2019. "Reliable estimation of suppliers’ total cost of ownership: An imprecise data envelopment analysis model with common weights," Omega, Elsevier, vol. 87(C), pages 57-70.
    8. Mohammad Izadikhah & Reza Farzipoor Saen, 2023. "Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry," Annals of Operations Research, Springer, vol. 322(1), pages 195-215, March.

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