A resource allocation for defensive counterterrorism with multi-resource sharing proximity
Date of Publication
6-2019
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Subject Categories
Operations Research, Systems Engineering and Industrial Engineering
College
Gokongwei College of Engineering
Department/Unit
Industrial and Systems Engineering
Thesis Adviser
Charlle Sy
Defense Panel Chair
Ronaldo Polancos
Defense Panel Member
Bryan Gobaco
Abstract/Summary
Terrorism is the use of force or violence against persons or property in violation of the criminal laws and has become more common in the past few years. Although it is becoming more common, dealing with threats of terrorism has not become any easier to deal with as it requires intensive planning and readiness to be able to counter a terrorist threat given certain circumstances and limitations. A good way of putting all these together is through a defensive counter-terrorism resource allocation model. The biggest concern in a defensive counter-terrorism resource allocation model is to minimize the damage of terrorist threat/s which is expressed in terms of "consequence score." By employing a defensive counter-terrorism multi-resource allocation model through linear programming, the amount of labor and capital are optimized and see which combination would yield the lowest consequence score. The model takes into consideration distances between targets with respect to being able to share mitigating resources between targets, but have a decreasing effectivity depending on how far the targets are from each other. This proposed model is validated through different scenarios with varying input parameters which determine sensitive points in the model. The model is taken a step further by improving the distance effectivity function and including a threshold of effectivity function for the labor and capital which would make the labor and capital have diminishing returns effectivity rather than having a linear effectivity.
Abstract Format
html
Language
English
Format
Accession Number
TU23275
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Keywords
Resource allocation; Terrorism—Prevention
Recommended Citation
Gatpandan, A., Lau, J., & Santos, A. (2019). A resource allocation for defensive counterterrorism with multi-resource sharing proximity. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/18673
Embargo Period
2-16-2023