Supplier performance evaluation for manufacturing industries: Re-exploring with big data analysis

Abstract

In the present era of globalization, every industry needs to explore methods for effective supplier selection. This paper re-defines the supplier selection problem in industries as a big-data problem and reviews the pre-existing approaches for supplier ranking. The major focus is on introducing Big-Data for supplier selection problem in industries. The approaches used are majorly looked for its implementation time and importantly, processing big-data in a way to prevent error tendencies and discrepancies in results. This article reviews AHP and PCA-based methods for supplier ranking problem re-defined as a real-time big-data problem. It also proposes further solutions and methodologies for better results.