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Selection of ideal supplier in e-procurement for manufacturing industry using intuitionistic fuzzy AHP

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  • M. Deepika

Abstract

Purchasing plays a momentous role in establishing relationships with a plethora of business partners in supply chain and is pivotal concerning overall firm operations and supply chain performance. Majority of firms militate against the cost-competitive world in reducing the overall component cost by scrutinising cost-effective suppliers. E-procurement is one of the pre-eminent features in supply chain management (SCM) and has garnered considerable attention among manufacturing industries in the Middle East. Due to its distinct nature, a glut of novice criteria and sub-criteria has been augmented with the traditional classifications for selecting a consummate supplier. Initially, the selected criteria were analysed and compared by deriving priority weights using AHP, FAHP and IF-AHP, respectively. Subsequently, we focused on utilising IF-AHP for the first time in e-procurement for efficient supplier selection. Of particular note, this study assists the firm in optimising the evaluation of impeccable supplier selection in e-procurement based on key criteria.

Suggested Citation

  • M. Deepika, 2023. "Selection of ideal supplier in e-procurement for manufacturing industry using intuitionistic fuzzy AHP," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 14(1), pages 56-78.
    • Handle: RePEc:ids:ijbpsc:v:14:y:2023:i:1:p:56-78
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