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3539. Improving the Efficiency of Criminal Investigations with a Multi-needs Approach for Case Reassignments
Invited abstract in session WA-48: DEA applications in Policy Making and Planning II, stream Data Envelopment Analysis and its Application.
Wednesday, 8:30-10:00Room: 60 (building: 324)
Authors (first author is the speaker)
1. | Thyago Nepomuceno
|
Department of Statistics, Federal University of Pernambuco | |
2. | Akram Dehnokhalaji
|
Operations and Information Management Department, Aston Business School | |
3. | Erik Alda
|
School of Behavioral and Social Sciences, Marymount University | |
4. | Miguel Gustavo Gomes da Silva
|
Campus Agreste, Federal University of Pernambuco |
Abstract
By assuming a proportional alteration in the output/input ratio, DEA can estimate the additional resources necessary for police units in anticipation of criminal activities. However, reallocating human resources and capital poses significant challenges within public administrations, often influenced more by political considerations than technical merits.
This study proposes a novel approach that integrates non-parametric frontier estimations with a prioritization reasoning to guide the redistribution of cases, rather than personnel, within law enforcement agencies. We assess the production capacity of police units utilizing Data Envelopment Analysis. A Multicriteria framework is incorporated to facilitate reassigning criminal cases from police stations working at full capacity to units with available resources. This approach provides an efficient and fair allocation of cases, prioritizing factors such as case complexity, severity, and costs across different levels.
As a result, our methodology identifies police units operating at full capacity, allowing the transfer of less complex, low-severity, and low-cost cases to neighboring units with spare production capacity. This surplus capacity enables fully operational units to concentrate on critical cases that otherwise might be overlooked.
Keywords
- Data Envelopment Analysis
- Capacity Planning
- Efficiency Analysis
Status: accepted
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