a bi-objective model for civil court scheduling problem with pragmatic procedures and factors under uncertainty

This study introduces a novel framework for planning and scheduling the handling of litigation cases in a judicial system. for this purpose, an unprecedented, bi-objective optimization model is proposed for scheduling family and civil cases in different courts, including primary, review, and supreme. in this regard, a broad range of pragmatic procedures and factors are considered, including different courts, the structuring of the process of judicial cases, the diversity of lawsuits and their miscellaneous cases, specialized chambers in courts, judges with different specializations, the frequency of reviewing cases in courts, filing objections, priority of cases, and permissible waiting time for handling cases and issuing their verdicts. more importantly, a sharing mechanism is embedded in the scheduling procedure to balance the workload across the chambers of the primary court, given the high volume and variety of cases. furthermore, since the uncertainty in case handling times is an undeniable concern in planning such problems, the set-induced robust optimization approach is applied to address it. finally, a real case study of iran's judicial system is examined to illustrate the applicability and validation of the proposed model. the results showed that the considered sharing mechanism can reduce excess service capacity by 28%.