International Journal of Physical Sciences
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Article Number - 181E5D063242


Vol.12(4), pp. 38-51 , February 2017
DOI: 10.5897/IJPS2016.4581
ISSN: 1992-1950



Full Length Research Paper

Performance evaluation of law enforcement agency on crime information management using queuing network model



Chikodili H. Ugwuishiwu*
  • Chikodili H. Ugwuishiwu*
  • Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria.
  • Google Scholar
Mathew C. Okoronkwo
  • Mathew C. Okoronkwo
  • Department of Computer Science, University of Nigeria, Nsukka, Enugu State, Nigeria.
  • Google Scholar
Caroline N. Asogwa
  • Caroline N. Asogwa
  • Nnamdi Azikiwe Library, University of Nigeria, Nsukka, Enugu State, Nigeria.
  • Google Scholar







 Received: 28 October 2016  Accepted: 23 February 2017  Published: 28 February 2017

Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


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.

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APA Ugwuishiwu, C. H., Okoronkwo, M. C., & Asogwa, C. N. (2017). Performance evaluation of law enforcement agency on crime information management using queuing network model. International Journal of Physical Sciences, 12(4), 38-51.
Chicago Chikodili H. Ugwuishiwu, Mathew C. Okoronkwo and Caroline N. Asogwa. "Performance evaluation of law enforcement agency on crime information management using queuing network model." International Journal of Physical Sciences 12, no. 4 (2017): 38-51.
MLA Chikodili H. Ugwuishiwu, Mathew C. Okoronkwo and Caroline N. Asogwa. "Performance evaluation of law enforcement agency on crime information management using queuing network model." International Journal of Physical Sciences 12.4 (2017): 38-51.
   
DOI 10.5897/IJPS2016.4581
URL http://academicjournals.org/journal/IJPS/article-abstract/181E5D063242

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