Computers in Industry - Special double issue: WET ICE '95
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers play the beer game: can artificial agents manage supply chains?
Decision Support Systems - Special issue: Formal modeling and electronic commerce
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Emergent Supply Networks: System Dynamics Simulation of Adaptive Supply Agents
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 5 - Volume 5
Integrated Multi-agent-based Supply Chain Management
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Dynamic Business Process Formation by Integrating Simulated and Physical Agent Systems
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 3 - Volume 3
Agent-Based Framework for Dynamic Supply Chain Configuration
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 7 - Volume 7
A multi-agent system architecture for coordination of just-in-time production and distribution
The Knowledge Engineering Review
Extending the Limits of DMAS Survivability: The UltraLog Project
IEEE Intelligent Systems
Real-time supply chain control via multi-agent adjustable autonomy
Computers and Operations Research
IEEE Transactions on Evolutionary Computation
Distributed data mining for e-business
Information Technology and Management
iDetect: Content Based Monitoring of Complex Networks using Mobile Agents
Applied Soft Computing
Simulation of cross-border competitions of free Internet content providers
Computers in Industry
| Hi-index | 0.00 |
Researchers, practitioners and enterprise software providers are realising the potential of agent-based technology to automate supply chain procurement to achieve consistent, traceable decision making. As the complexity of supply chains grow, these systems will gain more attention. In this paper, we model and simulate a complex autonomous supply chain managed by computational agents that aim to minimise lead time and maximise revenue through evolutionary multi-objective optimisation. The agents are in a competitive environment where they take on the roles of both client and producer. In addition to optimising their production strategy, they also have the opportunity to dynamically fine-tune their decision parameters when it comes to selecting their own suppliers, using the Analytical Hierarchy Process. It is observed that computational agents are capable of functioning in such complex environments, effectively converging to policies in synergy with their market. Multi-objective, multi-role optimisation results in better overall supply chain performance than tests where agents have single-objectives and single-roles. Our study forms an exploratory step towards more realistic agent-based supply chains where analytical methods are unavailable.