Finding the Optimal Allocation of Checkpoints Using the Dynamic Programming method

Authors

  • Ahmed Aziz Dawood
  • Wakas Saad Khalaf
  • Leong Wah June

DOI:

https://doi.org/10.33095/argab145

Keywords:

: Dynamic Programming, Optimal Allocation, Checklist

Abstract

This research aims to use the competent mathematical method through which it is possible to find the best allocation for the main checkpoints in one of the Iraqi Governorates, which contains 17 administrative units. The Dynamic Programming (DP) method and the method of background calculations were used for this method. The problem of the research lies in the fact that many administrative units in this governorate are subjected to organized attacks by terrorist gangs, which lead to the loss of the lives of many citizens, security forces, as well as private and public properties for them. The security reality of some administrative units requires a set of important data through which the best solutions are found to preserve these administrative units from terrorist and criminal operations and incidents. Therefore, this research focused on the use of one of the important scientific methods, the DP method, to find the Optimal Allocation (OA) of checkpoints in those administrative units, which hopefully contributes to reducing terrorist attacks, breaches, and other criminal incidents. The researchers used the checklist, which contains many questions that were asked of some civilians and state employees. The results proved to us that the proposed allocation will lead to an increase in the population density in the governorate by about 38 thousand people through the reallocation of checkpoints to administrative units, as some of them need to reduce the number of checkpoints and others need to increase the number of checkpoints. The used program is Excel.

Paper type: Research Paper

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Published

2024-04-30

Issue

Section

Managerial Researches

How to Cite

“Finding the Optimal Allocation of Checkpoints Using the Dynamic Programming method” (2024) Journal of Economics and Administrative Sciences, 30(140), pp. 30–47. doi:10.33095/argab145.

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