Título: Simulation -optimization using Agent Based Model to optimal staff allocation in Emergency Department
Autores: Antonio Carlos da Anunciação, Lucas S. Batista & Michel Bessani
Resumo: This paper presents a simheuristic approach combining agent-based modeling and multi-objective optimization for emergency department management. An agent-based simulation accurately represents patient flow and resource interactions in the emergency department, while the NSGA-II optimizes staff allocation. This hybrid method estimates Pareto-optimal solutions that balance service quality, measured as expected door-to-doctor time, and operational costs. The experiments demonstrate how different staff allocations affect the expected door-to-doctor time. The results provide actionable insights for healthcare managers, showing how simheuristics can effectively support decision-making in complex hospital environments.
Palavras-chave: Agent-based modeling; Emergency department; Multi-objective optimization; Simulation-optimization.
Páginas: 8
Código DOI: 10.21528/CBIC2025-1173549
Artigo em PDF: CBIC_2025_paper1173549.pdf
Arquivo BibTeX:
CBIC_2025_1173549.bib