| Title |
Multi-agent system for facility location problem / |
| Authors |
Sellapperuma, Sathuta |
| Full Text |
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| Is Part of |
Proceedings of Baltic DB&IS conference Forum and Doctoral Consortium 2024 co-located with 16th international Baltic conference on Digital Business and Intelligent Systems (Baltic DB&IS 2024), Vilnius, Lithuania, June 30-July 3, 2024 / edited by Audrone Lupeikiene, Jolita Ralytė, Diana Kalibatiene, Tarmo Robal, Gintautas Dzemyda.. CEUR-WS. 2024, p. 127-136 |
| Keywords [eng] |
agent base FLP ; facility location problem ; FLP optimization with MAS ; Multi-agent system |
| Abstract [eng] |
Effective facility location decisions are pivotal for enhancing a firm’s performance and competitive edge. Traditional methods often struggle to adapt to dynamic market conditions, leading to suboptimal outcomes. This research proposes a novel Multi-Agent System (MAS) application to address the Facility Location Problem (FLP). By leveraging distributed decision-making agents, the MAS platform aims to optimize facility locations in real time, integrating dynamic factors such as evolving consumer preferences and market trends. This study will design, implement, and evaluate an MAS platform where agents representing stakeholders—customers, suppliers, and facilities—interact to find optimal locations, considering cost minimization, customer satisfaction, and competitive advantage. The MAS framework also incorporates advanced decision-making algorithms and optimization techniques to enhance the efficiency and robustness of the solution. The system’s adaptability to market changes and real-time data integration capabilities will be thoroughly assessed through comprehensive evaluation metrics. The anticipated outcomes include improved decision-making efficiency, enhanced adaptability to market changes, and a robust solution capable of mitigating market cannibalization effects. Ultimately, this research aims to provide a practical and scalable approach to facility location optimization, fostering long-term organizational success in a competitive global environment. |
| Published |
CEUR-WS |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2024 |
| CC license |
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