Intelligent Facility Layout Planning for Emergency Department: A Multi-Agent System and Particle Swarm Optimization Approach

• Published in: 2023 14th International Conference on Intelligent Systems: Theories and Applications (SITA) pp. 1 - 7
• Main Authors: Bouramtane, Khalil, Kharraja, Said, Riffi, Jamal, Elbeqqali, Omar, Boujraf, Said
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.11.2023
• Subjects: Collaboration; Complexity theory; Costs; Dynamic Environments; Emergency services; Facility Layout Optimization; Intelligent Layout Design; Layout; Multi-Agent Systems; Particle swarm optimization; Planning; Simulation; Workflow Efficiency
• DOI: 10.1109/SITA60746.2023.10373758

The efficient design of facility layouts for emergency services represents a major challenge due to the dynamic and complex nature of their operations. Within this paper, a fresh approach is introduced to tackle this particular challenge, drawing upon the collaborative power of multi-agent systems along with the principles of particle swarm optimization. Moreover, the utilization of simulation technique is incorporated to enrich the comprehension and depiction of the analyzed system.In the proposed framework, agents representing different entities within the emergency department collaborate through a particle swarm optimization algorithm, working collectively towards an optimal facility layout. The main aim is to minimize travel costs and improve workflow efficiency. The results highlight the superiority of the multi-agent particle swarm optimization approach in the realization of intelligent layouts for emergency services. This research contributes to the advancement of facility planning by providing an innovative and efficient solution applicable to dynamic operational environments.