Abstract
One of the greatest challenges facing every society today is crime control and management. It could be as little as pick–pocketing, or human trafficking, or even as deadly as terrorism. As criminal’s perfect ways of avoiding being detected, Law Enforcement Agencies (LEAs) must adopt innovative ways on crime prevention and control. This research applies Queuing Network (QN) model to evaluation the performance of LEAs on crime information management. The QN comprise two queuing theory models; single server (M/M/1) and multiple server (M/M/m) queuing models. To implement this model, crime data was collected from Eleme (2012) and Nsukka (2013) police stations with a table format to capture the timing such as case arrival time, service time (investigation and handling time) and termination time. The model was implemented using PHP programming language Excel application was used to plot some graphs to observe the system’s behaviour. The case timing captured (input data) were used to calculate the queuing theory performance measures (model parameters). Results from the analysis shows how many cases were handled by how many staff members in a specified period of time. This model will make LEA’s crime management system visible at different levels (local, state and federal) to both government, LEA’s admins and general public. Government can assess the LEA’s performance at any time. Use of this model will improve LEA’s productivity and public security as well. Key words: Crime management, information system, law enforcement agency, performance evaluation, queueing network, single server queuing model, multiple server queueing model.
Highlights
The driving force behind the continued adoption of information technology (IT) has been an ever increasing need to organize, and more rapidly access information necessary for the performance of various activities of government, non-governmental agencies, organizations and the Law Enforcement Agencies (LEA) (Texas Department of Public Safety, 2016)
Its analysis and discussions obtained from implementation of the queueing network model using 2013 crime data collected
The queuing network model has been implemented to evaluate the performance of LEA on crime information management
Summary
The driving force behind the continued adoption of information technology (IT) has been an ever increasing need to organize, and more rapidly access information necessary for the performance of various activities of government, non-governmental agencies, organizations and the Law Enforcement Agencies (LEA) (Texas Department of Public Safety, 2016). LEA is one of the four major components of the criminal justice system along with prosecutors, courts and corrections agencies. LEAs at different levels of governments are charged with the responsibilities of providing first response to emergencies and threats to public safety, the protection of certain public facilities and infrastructure, maintenance of public order, and protection of public officials (Ehindero, 2006). There are many LEAs and other governmental agencies established by government as a laudable effort towards crime prevention and control, yet crime is on the high rate of prevalence in the world today (Anthony, 2013)
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