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1341. Analysis of demand and planning of capacity for the judiciary
Invited abstract in session TB-60: Projects, risk and law, stream Project Management and Scheduling.
Tuesday, 10:30-12:00Room: S09 (building: 101)
Authors (first author is the speaker)
| 1. | Femke Boelens
|
| University of Twente | |
| 2. | Richard Boucherie
|
| Stochastich Operations Research, University of Twente | |
| 3. | Anne Zander
|
| Applied Mathematics, University of Twente |
Abstract
Efficient planning of judicial capacity is crucial for ensuring a timely resolution of court cases. Accurate predictions of demand are essential for capacity planning. The demand of the court consists of cases that need to be resolved, either by one or multiple hearings or in writing. We analyze the arrival process of cases to the court and formulate a negative binomial regression model to predict the court demand on a weekly basis, taking seasonality into account. We test our prediction model on real-life data of the Dutch judiciary. Subsequently, we formulate an optimization model for planning capacity for one future year based on these predictions, considering capacity constraints, aiming to minimize the waiting time. We model the problem as a non-homogeneous queue with a time-dependent arrival rate and a service rate that is subject to control. By incorporating insights from a transient analysis of the queueing model, we solve the optimization model by stochastic programming, compare our capacity planning to the status quo, and run experiments to test several choices of capacity planning.
Keywords
- Capacity Planning
- OR/MS and the Public Sector
Status: accepted
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