Optimization of Anti-Drone Defense: Analyzing Non-Kinetic Gun Selection Using DIBR II-Grey MARCOS Methodology

Journal Title: Journal of Engineering Management and Systems Engineering - Year 2024, Vol 3, Issue 3

Abstract

The selection of appropriate anti-drone systems is critical for enhancing a military's defensive capabilities. With a range of non-kinetic anti-drone guns available, it is essential to identify the optimal system that meets specific military requirements. This study presents a comprehensive approach, combining Multiple Criteria Decision Making (MCDM) techniques to facilitate this selection process. The Defining Interrelationships Between Ranked Criteria II (DIBR II) method has been employed to determine and calculate the criteria weighting coefficients, while the Grey Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method, modified to utilize interval grey numbers, has been applied to rank the alternatives. The criteria weighting coefficients, defined by expert input, are aggregated using the Bonferroni mean. The proposed DIBR II-Grey MARCOS model is then subjected to a sensitivity analysis, which further validates the robustness of the selection process. A comparative analysis of results, based on the applied MCDM methods, underscores the efficacy of the proposed model. The findings demonstrate that this integrated model not only provides a reliable framework for selecting anti-drone guns but also offers a versatile tool for resolving other MCDM challenges across various domains. The study highlights the potential of this model for broader application in diverse operational environments, where complex decision-making is required. The combination of MCDM techniques and sensitivity analysis offers valuable insights into optimizing resource allocation, thereby enhancing strategic decision-making processes. The proposed model's adaptability and effectiveness suggest its significant potential for adoption beyond the military sector.

Authors and Affiliations

Marko Radovanović, Marko Crnogorac, Stefan Jovčić, Elif Cirkin, Mouhamed Bayane Bouraima

Keywords

Related Articles

Evaluating the Concentration and Leachability of Heavy Metals in Electric Arc Furnace Dust: Implications for Environmental Management

With the expansion of steel production via electric arc furnaces, an increase in dust generation—a by-product of these operations—poses substantial challenges. These difficulties stem from land use restrictions for large...

An Assessment of Risks in Oil and Gas Construction Projects in Pakistan: A Quantitative Approach Using Failure Modes and Effects Analysis

Effective risk management remains pivotal to the success of any project, especially in the oil and gas industry. This study seeks to identify and quantify the potential risks in Oil and Gas Construction Projects (OGCP) w...

The Impact of the COVID-19 Pandemic on Software Business Enterprises in Pakistan: Analysis and Implications

The COVID-19 pandemic emerged over three years ago as a public health crisis, swiftly evolving into a worldwide economic crisis with far-reaching implications for global business enterprises and industries. The unprecede...

Optimization of the Plasma Arc Cutting Process Through Technological Forecasting

This research employs a data-driven approach to optimize the plasma arc cutting process. The evaluation of cut quality is based on six output characteristics, while the input parameters include stand-off distance, cuttin...

The Load Spectrum of Axial Bearing of Hydraulics Excavator with Shovel Attachment

A detailed investigation into the axial bearing load of the revolving platform in a hydraulic excavator equipped with a shovel attachment was presented in this study. A mathematical model was formulated to assess the for...

Download PDF file
  • EP ID EP752318
  • DOI 10.56578/jemse030302
  • Views 8
  • Downloads 0

How To Cite

Marko Radovanović, Marko Crnogorac, Stefan Jovčić, Elif Cirkin, Mouhamed Bayane Bouraima (2024). Optimization of Anti-Drone Defense: Analyzing Non-Kinetic Gun Selection Using DIBR II-Grey MARCOS Methodology. Journal of Engineering Management and Systems Engineering, 3(3), -. https://europub.co.uk/articles/-A-752318