scholarly journals JUSTIFICATION OF RECOMMENDATIONS FOR IMPROVING THE FUNCTIONING OF THE ARMORED WEAPONS AND MILITARY EQUIPMENT RECOVERY SYSTEM BASED ON THE STUDY OF THE GRAPHICAL NETWORK MODEL

2020 ◽  
Vol 1 (59) ◽  
pp. 36-40
Author(s):  
S. Kopashynskii ◽  
O. Serpukhov ◽  
H. Makogon ◽  
S. Guba ◽  
O. Isakov ◽  
...  
Keyword(s):  
Graphical Model ◽  
Critical Path ◽  
Network Models ◽  
Practical Implementation ◽  
Military Equipment ◽  
Recovery System ◽  
Information Updates ◽  
Network Schedule ◽  
General Scientific ◽  
Military Units

The subject matter of the article is the functioning process of the armored weapons and military equipment recovery system during combat operations in modern conditions. The goal of the study is to justify of recommendations for improving the functioning of the recovery armored weapons and military equipment under the order to reduce the time of work and rational use of forces and resources. The tasks to be solved are: to present the process of functioning of the system of armored weapons recovery and military equipment as a list of events and works that comprehensively reflect its essence and the interrelations between individual actions; to build a network graphical model of functioning of the armored weapons and military equipment recovery system of the assigned units; to analyze the critical path of network grapHhics; to identify critical work requiring closer scrutiny and identification of issues and risks that may impact the functioning of the whole recovery system, by analyzing and optimizing the network schedule make suggestions for improving the operation of the recovery armored weapons and military equipment system. General scientific and special methods of scientific knowledge are used. The following results are obtained. It was simulated the functioning of the armored weapons and military equipment recovery system of military units in performing their tasks by constructing a graphical network models critical path. Analysis network diagram allowed us to determine directions of improvement of functioning of system of recovery of armored weapons and military equipment under the conditions of limited material and nonmaterial resources and regular information updates. Conclusions. The network graphic model of the for restoring armored weapons and military equipment recovery of during combat operations it possible to present the entire scope of work, their logical and chronological relationship and to adjust plans taking into account the limited time and insufficient number and training of personnel. Analysis of the critical path of the network schedule makes it possible to conclude that if there are several battalions in the brigade, the repair of samples of armored weapons and military equipment with a labor intensity of more than 200 people / hour is on the critical path because the forces and means for the restoration of armored weapons and military equipment not enough in modern conditions. The network schedule for the recovery of armored weapons and military equipment with the functional distribution of the volume and list of works is optimal for the length of the critical path. The practical implementation of proposals to improve the functioning of the armored weapons and military equipment recovery system is possible by creating separate logistics units of the appropriate hierarchy levels and implementing an interspecific territorial system for providing military units

scholarly journals GRAPHIC-ANALYTICAL METHOD FOR DETERMINING THE PROBABILITY OF LOSS OF ELEMENTS OF THE ENGINE AND THE COMBAT COMPARTMENT OF LIGHTLY ARMORED VEHICLES OF THE GENERAL UNITS

2021 ◽  
pp. 63-71
Author(s):  
R. Litvinchuk ◽  
A. Levchenko
Keyword(s):  
Analytical Method ◽  
Military Equipment ◽  
Recovery System ◽  
Rapid Flow ◽  
Single Fragment ◽  
Main Factors ◽  
Armored Vehicles ◽  
Military Units ◽  
Combat Readiness

The article considers a number of main factors that determine the probability of damage to the elements of the engine and combat compartment of lightly armored vehicles under the influence of fragmentation munitions. Also, the technique of calculation of probability of defeat of an element by one fragment is given. As a result, the idea of a graph- analytical method for determining the probability of hitting an element by one fragment is presented, which is that the set of possible flight of the fragment to the element is divided into subsets by the number of walls of the engine and combat compartment of lightly armored vehicles. Then the required value of the probability of damage to the element by one fragment is determined.One of the main striking factors is the rapid flow of fragments that hit lightly armored vehicles, thus reducing the combat readiness of the unit. At present, the question of calculating the probability of damage to the elements of lightly armored vehicles of general military units is insufficiently studied.During the calculations of the graph-analytical method for determining the probability of damage to the elements of the engine and combat compartment of lightly armored vehicles, attention was focused on determining the required value of the probability of damage to the element by one fragment, which has not been proposed so far.The idea of a graph-analytical method for determining the probability of damage to an element by a single fragment is as follows. The whole set of directions of possible flight of the fragment to the element is divided into subsets by the number of walls of the engine and combat compartment of lightly armored vehicles. Within each subset, all directions are divided into parts, within each of which the value hijs is constant.The values of Sijs and hijs are determined for each part. The value of Sijs determines the probability of impact of the fragment from these directions, and the value of hijs - the probability of breaking the protective barrier.Then the required value of the probability of damage to the element by one fragment is determined. Thus, the use of a graphical-analytical method to determine the probability of damage to the elements of lightly armored vehicles of all-military units will increase the possibility of evacuation and restoration of weapons and military equipment after destruction by shrapnel munitions.And reducing the time for evacuation, speeding up the process of restoring damaged equipment in combat and increasing the intensity of the recovery system from recovery to use will increase the likelihood of using recovered equipment and, consequently, increase combat readiness.

scholarly journals MANAGEMENT OF PROJECT IMPLEMENTATION DURATION AT AN INDUSTRIAL ENTERPRISE

2021 ◽  
Author(s):  
Inna Korkhina ◽  
Vitalii Petrenko ◽  
Volodymyr Kulyk
Keyword(s):  
Power Plant ◽  
Simulation Model ◽  
Gas Turbine ◽  
Beta Distribution ◽  
Time Management ◽  
Critical Path ◽  
Network Models ◽  
Metallurgical Enterprise ◽  
Network Schedule ◽  
Gas Turbine Power Plant

Implementation of investment projects contributes to the development of each metallurgical enterprise. An important project management process is project time management, which includes forecasting and monitoring compliance with deadlines, monitoring the content and relationships between works, as well as assessing the resources required for each work. When planning a project, it is often not possible to accurately determine the duration of a network schedule. Uncertainty of work time is associated with a certain degree of uniqueness of each work and external factors influencing this work. The method of network planning is recognized as one of the most effective methods used in the theory of project time management. Thanks to network models, it is possible to determine one of the key characteristics of the project, namely its duration. Due to the fact that it is not possible to accurately determine the duration of a project, so it is obvious the relevance of the use of network models that allow you to take into account the uncertainty in the time of work. The purpose of this work is to develop a probabilistic simulation model for calculating the duration of the project to create a combined gas turbine power plant at a metallurgical enterprise. It is proposed to take into account the uncertainty in the duration of the project in the traditional way, it is assumed that the duration of the project has a beta distribution. The work uses a network schedule for the creation of a combined gas turbine power plant. And all the works of the project were divided into appropriate stages. With the help of experts who provided a pessimistic, optimistic and most likely estimate of the duration of the work, the parameters of the beta distribution were determined. As part of the algorithm for calculating the simulation model of the project, 200 implementations of a random variable - the duration of work were generated and, accordingly, 200 implementations of the critical path of the project were obtained. the main characteristics of the specified set of random numbers are determined. Then we found a value for the duration of the critical path, which with a probability of 95% will not exceed 21 months.

scholarly journals The model of the organizational and technical weapons and military equipment recovery system

2021 ◽  
Vol 11 (6) ◽  
pp. 194-208
Author(s):  
Vladimir Kotsiuruba ◽  
Vladimir Dachkovskyі ◽  
Tymur Kurtseitov
Keyword(s):  
Armed Conflicts ◽  
Rational Structure ◽  
Logistics System ◽  
Military Equipment ◽  
Recovery System ◽  
Definition Of ◽  
Two Stages ◽  
Military Units ◽  
Different Levels

Analysis of wars and armed conflicts in recent years and the performance of tasks by military units (subunits) in a United Forces operation (anti-terrorist operation) confirms that the success of the troops (forces) in performing tasks will depend on the performance of the logistics system. The availability of military units with serviceable weapons and military equipment (WME) ensures the fulfillment of the mission and the advantage over the enemy. At the same time, the timeliness of providing military units (subunits) with serviceable weapons and military equipment depends on the efficiency of the logistics system, namely, on the recovery subsystem, which is its component. However, as studies have shown, there is currently insufficient sufficiency of the recovery system. All this is related to the definition of the composition of forces and means and the structure of the WME recovery system at different levels of the hierarchy. Therefore, in the article, it is considered that for the WME recovery system, the main parameter is the allowable time of WME recovery, differentiated by levels of complexity of tasks. Determination of this parameter for the basic variant of construction of WME recovery system is proposed using the average indicator of the intensity of the flow of possible volumes of tasks on the WME recovery. To determine the rational structure of WME recovery system and to calculate its main parameters the combined method of optimization of WME recovery system was used. Containing two stages: on the first - based on the requirements to the permissible terms of WME recovery system, the rational structure of the recovery system is defined, and on the second – using the method of statistical modeling, the parameters of the structure and composition of forces and means of the WME recovery system at each level of the hierarchy are defined.

Psychological networks in clinical populations: investigating the consequences of Berkson's bias

2019 ◽  
pp. 1-9 ◽  
Author(s):  
Jill de Ron ◽  
Eiko I. Fried ◽  
Sacha Epskamp
Keyword(s):  
Network Structure ◽  
Binary Data ◽  
Ordinal Data ◽  
Graphical Model ◽  
Rating Scale ◽  
Network Models ◽  
Simulation Studies ◽  
Potential Threat ◽  
Sum Score ◽  
Research Populations

Abstract Background In clinical research, populations are often selected on the sum-score of diagnostic criteria such as symptoms. Estimating statistical models where a subset of the data is selected based on a function of the analyzed variables introduces Berkson's bias, which presents a potential threat to the validity of findings in the clinical literature. The aim of the present paper is to investigate the effect of Berkson's bias on the performance of the two most commonly used psychological network models: the Gaussian Graphical Model (GGM) for continuous and ordinal data, and the Ising Model for binary data. Methods In two simulation studies, we test how well the two models recover a true network structure when estimation is based on a subset of the data typically seen in clinical studies. The network is based on a dataset of 2807 patients diagnosed with major depression, and nodes in the network are items from the Hamilton Rating Scale for Depression (HRSD). The simulation studies test different scenarios by varying (1) sample size and (2) the cut-off value of the sum-score which governs the selection of participants. Results The results of both studies indicate that higher cut-off values are associated with worse recovery of the network structure. As expected from the Berkson's bias literature, selection reduced recovery rates by inducing negative connections between the items. Conclusion Our findings provide evidence that Berkson's bias is a considerable and underappreciated problem in the clinical network literature. Furthermore, we discuss potential solutions to circumvent Berkson's bias and their pitfalls.

scholarly journals Psychological Networks in Clinical Populations: A tutorial on the consequences of Berkson's Bias

2019 ◽  
Author(s):  
Jill de Ron ◽  
Eiko I Fried ◽  
Sacha Epskamp
Keyword(s):  
Network Structure ◽  
Binary Data ◽  
Ordinal Data ◽  
Graphical Model ◽  
Rating Scale ◽  
Network Models ◽  
Simulation Studies ◽  
Potential Threat ◽  
Sum Score ◽  
Research Populations

In clinical research, populations are often selected on the sum-score of diagnostic criteria such as symptoms. Estimating statistical models where a subset of the data is selected based on a function of the analyzed variables introduces Berkson’s bias, which presents a potential threat to the validity of findings in the clinical literature. The aim of the present paper is to investigate the effect of Berkson’s bias on the performance of the two most commonly used psychological network models: the Gaussian Graphical Model (GGM) for continuous and ordinal data, and the Ising Model for binary data. In two simulation studies, we test how well the two models recover a true network structure when estimation is based on a subset of the data typically seen in clinical studies. The network is based on a dataset of 2,807 patients diagnosed with major depression, and nodes in the network are items from the Hamilton Rating Scale for Depression (HRSD). The simulation studies test different scenarios by varying (1) sample size and (2) the cut-off value of the sum-score which governs the selection of participants. The results of both studies indicate that higher cut-off values are associated with worse recovery of the network structure. As expected from the Berkson’s bias literature, selection reduced recovery rates by inducing negative connections between the items. Our findings provide evidence that Berkson’s bias is a considerable and underappreciated problem in the clinical network literature. Furthermore, we discuss potential solutions to circumvent Berkson’s bias and their pitfalls.

scholarly journals Multiple criteria network models for project management

2012 ◽  
Vol 50 (No. 2) ◽  
pp. 71-76 ◽  
Author(s):  
T. Šubrt
Keyword(s):  
Linear Programming ◽  
Project Management ◽  
Programming Model ◽  
Critical Path ◽  
Network Models ◽  
Multiple Criteria ◽  
Linear Programming Model ◽  
Software Support ◽  
Task Duration ◽  
Starting Point

The aim of the paper is to present one possibility of how to model and solve a resource oriented critical path problem. As a starting point, a single criteria model for critical path finding is shortly mentioned. Lately, more criteria functions for this model are defined. If any project task uses more resources for its completion, its duration usually depends on only one of them – other resources are not fully used. In here defined multiple criteria approach, these dependencies are not assumed. Each criteria function is derived from a theoretical task duration based on a number of units of only one resource and on its importance. Using either linear programming model with aggregated criteria function or simple Excel calculation with Microsoft Project software support, a so-called compromise critical path can be found. On this path, some resources are overallocated and some are underallocated but the total sum of all underallocations and all overallocations is minimized. All resources are used as effectively as possible and the project is as short as possible too.

scholarly journals Demand management by active consumers in intelligent electric power systems

2020 ◽  
Vol 157 ◽  
pp. 05006
Author(s):  
Evgeny Tretyakov
Keyword(s):  
Power Systems ◽  
Electric Power ◽  
Technological Process ◽  
Demand Management ◽  
Electric Power Systems ◽  
Digital Data ◽  
Practical Implementation ◽  
Processing Technologies ◽  
Digital Data Processing ◽  
Network Schedule

The approaches to demand management by active consumers through forming a given schedule of power consumption in the required period of time based on the solution of the optimization problem in the form of maximizing the power of connected controlled electric receivers of various types are presented. The model of demand management by active consumers is justified, taking into account the following factors: load sensitivity for connecting a transformer substation to a change in consumer load; load priority; consistent load reduction levels with flexible performance and power control; permissible set of electric receivers in accordance with the technological process, network schedule, other logical conditions corresponding to adjacency lists. An algorithm has been developed for limiting power on the part of active consumers based on the widespread use of digital data processing technologies, modern technical means of measurement, control and switching of end consumers in real time. The presented research results indicate the validity of the demand management method by active consumers in the normal mode of intelligent electric power systems and the possibility of its practical implementation in an industrial enterprise with reference to the technological process.

scholarly journals Forensic prevention of crimes in criminal investigation techniques

2021 ◽  
Vol 10 (46) ◽  
pp. 162-168
Author(s):  
Viktor Vasylynchuk ◽  
Valentyn Kovalenko ◽  
Viacheslav Nekrasov ◽  
Oleksii Kopan ◽  
Roman Shchupakivskyi
Keyword(s):  
Crime Prevention ◽  
Semantic Analysis ◽  
Functional Method ◽  
Practical Implementation ◽  
Structural Method ◽  
Legal Analysis ◽  
Analysis Method ◽  
Legal Method ◽  
Criminal Offenses ◽  
General Scientific

The purpose of the article is to determine the place and role of forensic prevention in the structure of methods of investigation of certain types of crimes. The subject of research is the concept and features of forensic prevention. The research methodology includes general scientific and special methods of legal science: historical and legal method; structural and functional method; system and structural method, logical and semantic analysis method, formal and legal analysis method. Research results. The issues related to the characteristics of forensic crime prevention are considered. Different points of view on the role, significance and structure of forensic crime prevention are summarized and the conclusion that this legal institution is an integral part of forensic science is made. Practical implementation. The main methods and means of forensic prevention of criminal offenses are determined. Value / originality. It is concluded that the prevention of crimes should be aimed at neutralizing and eliminating the causes that contribute to their commission, and the pre-trial investigation authorities should play the key role in this process.

scholarly journals EXPERIENCE IN THE APPLICATION OF ADAPTIVE STRATEGIES FOR MAINTENANCE AND REPAIR OF MILITARY PRODUCTS IN NATO MEMBER COUNTRIES

2021 ◽  
pp. 101-111
Author(s):  
P. Openko ◽  
V. Polishchuk ◽  
M. Mуronіuk ◽  
A. Kozyr
Keyword(s):  
Service Life ◽  
Positive Impact ◽  
Armed Forces ◽  
Adaptive Strategies ◽  
Technical Condition ◽  
Practical Implementation ◽  
Limit Condition ◽  
Maintenance And Repair ◽  
Military Equipment ◽  
Current State

Maintenance of armaments and military equipment, implementation of a set of measures to maintain armaments and military equipment in working order are related to the need to solve the problem of ensuring the specified indicators of their efficiency, especially samples with long service life. Given the current state of the domestic armaments and military equipment park, it is important to study the experience of NATO member states in implementing adaptive maintenance and repair strategies, including maintenance and repair strategies. The aim of the article is to analyze the current state of use of adaptive strategies for maintenance and repair of weapons and military equipment in the world's leading countries with further substantiation based on its recommendations for their practical implementation during the organization of their operation in the Air Force of Ukraine. According to the results of research, a positive impact of the application of maintenance and repair strategy, including by solving the problem of minimizing the cost of operation of weapons and military equipment. As a result, substantiated and proposed the necessary conditions for the application of the strategy of their maintenance and repair, which are in service with the Armed Forces of Ukraine in technical condition, the implementation of which as an alternative to the use of service life (resource) of relevant samples control of the limit condition or the need for maintenance and repair of the product, which are accepted as a result of continuous (periodic) control of the parameters that determine the technical condition.

scholarly journals PECULIARITIES OF FORENSIC ECONOMIC EXAMINATIONS ON THE ISSUES OF MILITARY EQUIPMENT ACCOUNTING

2020 ◽  
Vol 22 (2) ◽  
Author(s):  
N. Panchenko ◽  
I. Hordiyenko
Keyword(s):  
Military Equipment ◽  
Long Term Storage ◽  
Special Cases ◽  
Research Objects ◽  
Forensic Expert ◽  
Military Units ◽  
Accounting Procedure ◽  
Term Storage ◽  
Expert Practice

The list of military equipment needed for forensic experts work when solving the issues of munition accounting and preservation of legislative and regulatory acts which regulate accounting procedure, circulation and write-off of munition, is provided in the article. The list of military equipment which according to its characteristics belongs to military is specified. Ensuring safety of classified information has been highlighted in cases provided by legislation and separate accounting of survival kit military equipment which is intended for use while special cases and peace time in long-term storage in military units, from other military equipment. It is specified that military equipment accounting is conducted both in peacetime and while particular time at facilities of military (ship) administration, services of providing bodies of military management, services of military units and formations, in warehouses, bases, arsenals according to requirements of regulatory legal acts of the Ministry of Defence. Peculiarities of accounting inherent in this field are outlined. Results of the forensic expert practice from the Sumy branch of KhRIFE are outlined. Research objects are identified and a range of powers granted to forensic experts while conducting forensic economic examination related to resolving issues regarding documentary confirmation of the established facts of shortage, embezzlement, replacement, unjustified write-off and surplus of military equipment is defined.

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