Devising a procedure for justifying the need for samples of weapons and weapon target assignment when using a reconnaissance firing system

Abstract

This paper proposes an algorithm to substantiate the need for weapons samples, as well as targeting when using a reconnaissance firing system taking into consideration the peculiarities of functioning of such systems. The algorithm essentially implies streamlining the stages in determining the magnitude of the reduction of the enemy's combat potential and, on its basis, the formation of the need for the number of weapons by type. The algorithm makes it possible to take into consideration the nonlinearity of functions that describe both different types of weapons and targets. In addition, this algorithm is based on a modified method of nonlinear programming (two functions). The modification involves the use of a normalized share of the weight of each target as weight coefficients. This allows for targeting while taking into consideration the established level of the combat potential of an enemy. A procedure for determining the need for samples of weapons and targeting in the use of reconnaissance firing systems has been devised. It was determined that in order to achieve the goal of enemy fire damage, it is not typically necessary to use all weapons samples. In general, the procedure makes it possible to take into consideration the peculiarities of the samples of weapons and their suitability to hit a certain target. That could prevent problems with overspending of resources, failures in the detection-defeat cycle, non-fulfillment (not fully performing) tasks during enemy fire damage. In general, the algorithm and procedure for determining the need for the samples of weapons and targeting when using a reconnaissance firing system testify to devising a methodology for justifying the need for weapons samples and targeting. The performance and adequacy of this procedure have been tested by considering an example of determining the need for weapons samples and targeting and obtaining the result confirmed by the experience in the use of reconnaissance firing systems

Devising a scientific-methodical apparatus for the appropriate distribution of damaged weapons among specialized repair and restore units

“…The work uses approaches from the theory of mathematical programming, in particular the method of nonlinear integer programming «method of two functions» [18][19][20].…”

“…The main idea of the method is that the problem of nonlinear programming is transformed into a sequence of problems of linear programming, where at each step one of the two functions approximating the function of nonlinear programming is optimized. That is, this optimization of one of the two functions maximizes the suitability function of a certain type of resource to meet the needs of a certain consumer (F) [18][19][20]:…”

“…At the first stage, the normalized shares of the importance coefficients of each resource source are calculated [20]:…”

“…The next stage is associated with fixing a certain consumer to a certain source of resources ( ) ϑ k l t t = 1 according to the condition. At the next stage, the current value of the objective function F t + (6) is calculated [19,20]:…”

“…and the product of the probabilities of customer dissatisfaction a t γ ( ) (8) are calculated [18][19][20]:…”