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Fuzzy AHP-based supplier selection in e-procurement

Author

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  • Morad Benyoucef
  • Mustafa Canbolat

Abstract

Organisations need information technology to help them make quick, right and accurate purchasing decisions and better manage their relationships with their suppliers. This help comes in the form of electronic procurement (e-procurement) technology augmented with supplier selection systems. Supplier selection is a multi-criteria decision-making process that deals with the optimisation of conflicting objectives such as quality, cost and delivery time. If performed manually, this process is complex and time-consuming. Although supplier selection is heavily discussed in the literature and models have been designed for it, few efforts have been dedicated to developing a system based on these models. We propose a supplier selection system based on the Analytic Hierarchy Process (AHP), a commonly used model for multi-criteria decision-making problems. The system integrates fuzzy concepts and empirical data. We report on a study conducted in a hospital to validate the design of the supplier selection system and its underlying fuzzy AHP model.

Suggested Citation

  • Morad Benyoucef & Mustafa Canbolat, 2007. "Fuzzy AHP-based supplier selection in e-procurement," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 3(2), pages 172-192.
    • Handle: RePEc:ids:ijsoma:v:3:y:2007:i:2:p:172-192
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    Citations

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    Cited by:

    1. Ilyas Masudin & Ganis Dwi Aprilia & Adhi Nugraha & Dian Palupi Restuputri, 2021. "Impact of E-Procurement Adoption on Company Performance: Evidence from Indonesian Manufacturing Industry," Logistics, MDPI, vol. 5(1), pages 1-16, March.
    2. Madjid Tavana & Salman Nazari-Shirkouhi & Hamidreza Farzaneh Kholghabad, 2021. "An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis," Health Care Management Science, Springer, vol. 24(4), pages 768-785, December.
    3. Stević, Željko & Tanackov, Ilija & Vasiljević, Marko & Vesković, Slavko, 2016. "Fuzzy Multicriteria Model for Ranking Suppliers in Manufacturing Company," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016, pages 196-203, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    4. Dunbing Tang & Qi Wang & Inayat Ullah, 2017. "Optimisation of product configuration in consideration of customer satisfaction and low carbon," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3349-3373, June.
    5. Rui Zhang & Jingfei Li & Shaoyu Wu & Dabin Meng, 2016. "Learning to Select Supplier Portfolios for Service Supply Chain," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.

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