Data mining: concepts and techniques
Data mining: concepts and techniques
The impact of business analytics on supply chain performance
Decision Support Systems
A multi-agent based system for e-procurement exception management
Knowledge-Based Systems
Fuzzy two-stage material procurement planning problem
Journal of Intelligent Manufacturing
An agent based approach for exception handling in e-procurement management
Expert Systems with Applications: An International Journal
Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS
Expert Systems with Applications: An International Journal
Supporting decision making process with "ideal" software agents - What do business executives want?
Expert Systems with Applications: An International Journal
Component selection system for green supply chain
Expert Systems with Applications: An International Journal
The evaluation of intelligent agent performance - An example of B2C e-commerce negotiation
Computer Standards & Interfaces
Designing intelligent agents to support long-term partnership in two echelon e-Supply Networks
Expert Systems with Applications: An International Journal
Hi-index | 12.08 |
The purpose of this research is to propose a procurement system across other disciplines and retrieved information with relevant parties so as to have a better co-ordination between supply and demand sides. This paper demonstrates how to analyze the data with an agent-based procurement system (APS) to re-engineer and improve the existing procurement process. The intelligence agents take the responsibility of searching the potential suppliers, negotiation with the short-listed suppliers and evaluating the performance of suppliers based on the selection criteria with mathematical model. Manufacturing firms and trading companies spend more than half of their sales dollar in the purchase of raw material and components. Efficient data collection with high accuracy is one of the key success factors to generate quality procurement which is to purchasing right material at right quality from right suppliers. In general, the enterprises spend a significant amount of resources on data collection and storage, but too little on facilitating data analysis and sharing. To validate the feasibility of the approach, a case study on a manufacturing small and medium-sized enterprise (SME) has been conducted. APS supports the data and information analyzing technique to facilitate the decision making such that the agent can enhance the negotiation and suppler evaluation efficiency by saving time and cost.