Title: A vendor recommendation model using neural networks

Authors: Satyendra Kumar Sharma; Sajeev Abraham George

Addresses: Department of Management, New Academic Building, BITS Pilani, Rajasthan, PIN-333031, India ' SP Jain Institute of Management and Research, Bhavan's Campus, Munshi Nagar, Dadabhai Road, Andheri West, Mumbai – 400 058, India

Abstract: Suppliers today are considered as a logical extension to a firm that provide critical inputs to its processes. Supplier performance evaluation is vital for any firm to carry out supplier selection and to practice effective supply chain management. Further, the supplier performance measurement system should continuously evolve in a company as a process for improving the capabilities, execution effectiveness and efficiency. Though the supplier performance systems have been well investigated in the literature, very few studies have proposed an order-based supplier selection approach that takes into account the changing priorities of the customer. The research tries to address this gap by attempting to establish a dynamic linkage between customer order priorities and supplier characteristics. A neural network model for the order driven vendor recommendation system that ranks the suppliers as per the requirements of the order has been proposed.

Keywords: vendor selection; neural network; case application.

DOI: 10.1504/IJPMB.2021.113743

International Journal of Process Management and Benchmarking, 2021 Vol.11 No.2, pp.254 - 270

Received: 21 Oct 2018
Accepted: 29 Nov 2018
Published online: 22 Mar 2021 *

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