MULTICRITERIA FRAMEWORK FOR THE MANAGEMENT OF LAWSUITS: APPLICATION OF DYNAMIC DEA AND MDCA IN BRAZIL (2020-2024)
Demand Management, First-Instance Courts, Dynamic Data Envelopment Analysis (Dynamic DEA), MCDA, Operational Efficiency.
The growing demand in first-instance courts has challenged the efficiency of the Brazilian judicial system, requiring solutions that optimize case management and enhance timeliness. In this context, this research proposes an integrated framework based on Data Envelopment Analysis (DEA) and multicriteria decision support methods, particularly FITradeoff, to evaluate the operational efficiency of state courts and provide guidelines for improving their management. The study adopts a quantitative approach supported by data from the Justice in Numbers reports and the CNJ Quality Award, covering the period from 2009 to 2024. DEA is employed to measure court efficiency over time, identifying benchmarks and good practices, while multicriteria methods assist in structuring performance evaluation through indicators such as productivity, average processing time, and digitalization. The research also analyzes the influence of case management systems such as PJe, e-SAJ, Projudi, and e-Proc on court performance. Preliminary results indicate significant variation among courts throughout the period analyzed, revealing regional disparities, structural bottlenecks, and the potential for replicating best practices from the most efficient units.