The installation plan, operation and functions of the military field camp are very important for a military unit action. Every army in a NATO country strives to set up a military camp that is as flexible and comfortable as possible. NATO has set standards for the installation of a military field camp, and each country in the organization relies on this standard. This study was focused on how to build a military field camp as quickly as possible and to minimize the loss of various resources.
The research developed a focus group survey analysis method to identify weaknesses in the military field camp setting process, accomplished an in-depth interview analysis method with four Lithuanian Grand Duke Vytenis General Support Logistics Battalion Field Camp Installation Experts. Moreover, was accomplished a comparative analysis to compare military field camps plans before and after installation. In addition, an operational process analysis approach was used, which depicts the installation of a military field camp from planning to unit deployment. There was used the Bizagi Modeler v3.7 software to construct the intelligent process automation diagram which showed the military camp installation improvement solutions . Moreover, the in-deep cause analysis method was used, which helped to identify the main problems of the military field camp installation.
In the 21st century technology has reached a sufficiently advanced level. The armed forces of NATO countries are actively implementing simulation systems into the military training process. Simulators save resources and allow troops to train in situations that would be very dangerous or impossible to create in the real world. Properly trained soldiers are a key part of strong and challenging army. Therefore, Lithuanian military training is constantly being improved and new methods are being sought to ensure the highest quality process to develop soldiers’ competence. In order to properly evaluate the effectiveness of the simulators used in the Lithuanian Armed Forces training unit, it is necessary to determine if simulators help to prepare soldiers capable of analysing situations properly and to be modern in combat. Also identify fields for improvement in the use of existing simulators related to military training, provide rational solutions to eliminate identified problems for military training. The aim of this study was to identify Lithuanian Armed Forces combat training centre improvement fields for the simulators’ use in the individual and collective training.
Unmanned aerial vehicles (UAVs) have been developed for military purposes and are therefore particularly advanced and developed in military aviation. Under the circumstances, UAVs and drones are used these days not only in the military but also in the civilian industry.
Based on the chosen research objective and problems the questionnaire survey method was selected. There was collected primary data which was processed by software using a computer-based statistical analysis program.
Next analysis, which solve in part about goals and objectives was the experts’ evaluation method based on experts’ surveyed sample analysis. The Kendall’s coefficient of concordance (W) was selected for experts’ data analysis. The statistical software package SPSS version 26 was used for the collected experts’ data analysis and for the hierarchical clustering analysis as well .
The purpose of this investigation is to present the protection systems used against the low, slow, and small (LSS) unmanned aerial systems (UAS) capabilities. The results of a market survey are included that highlights potential commercial entities that could contribute some technology that assists in the detection, classification, and neutralization of a LSS UAS. In order to accurately select a protection system which will later be used by all Lithuanian Armed Forces units the nine existing protection systems were analyzed. The analysis was done under the technical specifications for acquisitions and the detailed requirements of the measures were set out on the basis of the Operational Requirements Document. This article provides the existing protection systems against unmanned aircraft vehicle (PSAUAV) technical conditions analysis with the aim to help to make the choices in defining a protection system that can be adaptive to contemporary and future needs for the Lithuanian Armed Forces. The numerous requirements and expectations for nine PSAUAV were analyzed by statistical software package SPSS version 20. There were used the experts’ evaluation methods based on experts’ surveyed sample analysis. The Kendall’s coefficient of concordance (W) was selected for quantitative assessments of experts’ decisions data analysis. In addition for PSAUAV technical conditions evaluation was used the hierarchical clustering.
The purpose of this paper is to investigate how learning in collaboration can support the development of sustainability competence in the military. The concept of sustainability in the military is controversial; nevertheless, requirements for more conscious decisions regarding economics, environment and society issues enter military practice and require rethinking the processes of military education and development. The application of computer-supported collaborative learning brings new opportunities in overcoming controversy of sustainability in the military and at the same time puts forward the solutions and skills for implementations of sustainability in the military.
Instead of using traditional approach towards sustainability as an interaction of the following three components: economic viability, social welfare and environmental protection, we described sustainability in the military as a composition of mission, management of installations and stakeholders, operations and maintenance, environment protection and quality of life. According to these categories, e-learning platform was developed. The core of this platform is the formal learning curriculum, which serves as a shell under which a variety of practices can be introduced to address the desired training objectives. The complex solution was accomplished with computerfacilitated collaborative learning that enables teem-working, collaboration and peer-assessment. Computer-facilitated collaborative learning supports social interaction in the learning system and sustains group-work within a variety of decision-making frameworks. Those features of the learning system are very important considering the controversy and complexity of sustainability in the military.