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

Authors: M. Deepika

Addresses: Department of Technology and Innovation, Centre for Sustainable Supply Chain Engineering, University of Southern Denmark, Campusvej 55, Odense M – 5230, Denmark

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.

Keywords: e-procurement; supplier selection; multi-criteria decision making; MCDM; fuzzy analytic hierarchy process; FAHP; intuitionistic preference relation; IPR; intuitionistic fuzzy set; IFS; consistency.

DOI: 10.1504/IJBPSCM.2023.130484

International Journal of Business Performance and Supply Chain Modelling, 2023 Vol.14 No.1, pp.56 - 78

Received: 31 Dec 2021
Accepted: 09 May 2022
Published online: 21 Apr 2023 *

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