A knowledge-based system to support procurement decision

Purpose – To propose an infrastructure of a knowledge‐based system to capture and maintain the procurement information and purchasers' knowledge, regarding how to choose partners in the supply chain network, with the adopting of the neural networks that mimic the operation of human brain to generate solutions systematically.Design/methodology/approach – The proposed system encompasses hybrid artificial intelligence (AI) technologies, Online analytical processing (OLAP) applications and neural networks.Findings – Be able to capture the procurement data and vendors' information that are generated in the workflows to ensure tthat he knowledge and structured information are captured without additional time and effort. Recognizes the void of research in the infrastructure of the hybrid AI technologies for knowledge discovery.Research limitations/implications – Neural network does not have the sensibility characteristic of the purchasing staff, it is not able to identify the environment changes, which need to r...

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