Banca de QUALIFICAÇÃO: ALLYSON AIRES PIMENTEL DA SILVA
Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.STUDENT : ALLYSON AIRES PIMENTEL DA SILVA
DATE: 25/08/2025
TIME: 10:00
LOCAL: CTEC
TITLE:
Multicriteria Framework for Judicial Demand Management: Application of Dynamic DEA and MCDA in Brazil (2009–2024)
KEY WORDS:
Demand Management, First-Instance Courts, Dynamic Data Envelopment Analysis (Dynamic DEA), MCDA, Operational Efficiency.
PAGES: 99
BIG AREA: Engenharias
AREA: Engenharia de Produção
SUMMARY:
The growing demand in first-instance courts has challenged the efficiency of the Brazilian judicial system, requiring solutions that optimize case management and promote greater speed in the delivery of justice. In this context, this research proposes an integrated framework based on Dynamic Data Envelopment Analysis (Dynamic DEA) and Multi-Criteria Decision Analysis (MCDA) methods, aiming to provide analytical support for strategic decision-making and the efficient allocation of resources. The study aims to evaluate the operational efficiency of Brazilian state courts and to propose guidelines for improving their management, contributing to a more balanced and effective judicial administration.
The research adopts a quantitative approach based on data extracted from the Justice in Numbers reports and the results of the CNJ Quality Award, covering the period from 2009 to 2024. Dynamic DEA makes it possible to measure the efficiency of courts over time, identifying patterns and best-practice benchmarks, while MCDA assists in formulating criteria to assess court performance based on indicators such as productivity, average case processing time, and degree of digitalization. Furthermore, the research analyzes the influence of case management systems, such as PJe, e-SAJ, Projudi, and e-Proc, on the efficiency of state courts.
COMMITTEE MEMBERS:
Presidente - 1777131 - MARIANA RODRIGUES DE ALMEIDA
Interno - 1142787 - JOSE ALFREDO FERREIRA COSTA
Externa à Instituição - LÍVIA MARIANA LOPES DE SOUZA TORRES