Efficient Supplier Selection in e-Procurement Using Graph-Based Model

Abstract

Public procurement is described as a dynamic, real-time negotiation between a purchasing association and several pre-qualified suppliers contesting against one another to achieve the opportunity to deliver goods or services to the purchasing organization. A significant number of enterprises use Reverse auction (RA) for supplying products. This paper investigates aspects of the RA system using the optimization model to keep up the work on comprehending the characteristics of the impact of performing RA on the bidding results for multiple products. In particular, a graph-based model has been developed for the RA bidding framework to evaluate the consequences of the bids collected in public procurement. Our method aims to confirm the determination, whether procurement is profitable based on the previous auction datasets. The analysis involves a scenario consisting of companies that will dominate the market. This study also consists in determining the decision to occur an auction.