Integrating Queueing Theory and Multi-Criteria Decision-Making for Optimizing Border Crossing Operations
摘要
Efficient management of border crossing operations is essential for reducing delays, supporting trade flows, and strengthening security. This study proposes a hybrid framework integrating discrete-event simulation with multi-criteria decision-making (MCDM) to evaluate and rank operational strategies for a land border crossing. The simulation model replicates real conditions and generates performance data under different scenarios. The Full Consistency Method (FUCOM) derives weights for evaluation criteria, reducing pairwise comparisons while maintaining consistency. The Combined Compromise Solution (COCOSO) then ranks scenarios against these weighted criteria. Results indicate that strategies incorporating advanced document processing and optimized resource allocation deliver the greatest performance improvements. The framework equips policymakers with a structured tool to reduce waiting times, increase throughput, and enhance service quality. It demonstrates how combining simulation with MCDM yields both operational and policy-relevant insights adaptable across border contexts.