Abstract

Maintenance of samples of weapons is carried out at the stages of their life cycle and is carried out on the basis of coordination of actions of the customer and the consumer with a wide range of organizations from the main developer to the co-executors, which does not exclude the occurrence of conflict situations. This leads to the problem of implementing the optimal synthesis of such a complex system and does not allow to direct efforts to achieve the extremum of the target function of the system as a whole. Therefore, the emergence of such a problem and the existing conflicts in the process of determining the means of providing arms to military formations is considered as a complex organizational system, and the difficulties of direct solution of the problem of optimal synthesis in this case are related to: the interconnections of a complex system (between systems of the lower level and elements of the system); limited programming abilities; the construction of a mathematical model, etc.; and cause the need to find solutions to this problem.
 The methods developed at present allow analytically to calculate the technical perfection of the weapons samples that are considered for providing military formations, as investigated when choosing for procurement or development. Such tasks are deterministic, but, considering costs at all stages of the life cycle, there may be stochastic (probable ones) that can be solved by expert methods. At present, the list and content of the source data when choosing ways of providing weapons are not defined at all stages. Thus, having them strictly non-formalized, the statement of the problem of synthesis is carried out under conditions of uncertainty, which in most cases is solved by heuristic methods, which in turn allows elements of subjectivity.
 Having determined the list and content of the initial data, it is possible to pre-implement the calculations in cost form (strictly mathematical) in the form of expenses, having carried out the projection of expenditures at the stage of the weapon’s life cycle, and such a list to be chosen according to the criterion of the problem of synthesis, while defining the criteria of the restrictions, and to use these data for assessing the quality of this type of weapons and the cost of the stages of their life cycle. Also, in case of incomplete receipt of such data in cost form, with their partial, such an assessment will allow to determine between the corresponding methods when solving the problem of choosing ways of providing arms in the medium term. Even if this method is not analytical, then the relevant statistics will help to reduce the degree of uncertainty and subjectivism when choosing ways to provide armed skills by expert means.

Highlights

  • Warsaw’s pact states, which in end of XX century pulled out of that pact because of change of political situation, were forced to lead a national militarytechnical policy, which is differed from previous existing one

  • Today Ukraine is needed in imperfection of it military and technical policy taking into consideration, that the existing equipage of AME in Ukraine Military Forces (MF) on kinds and corps was not created by national industry and taking into consideration an experience of the former Warsaw pact states, which had AME, but technical supervision during life cycle (LC) was implemented by Russia Federation (RF) as AME developer

  • Considering three indexes W, С, Т and assessing military infrastructure let we superpose it on stage of LC, which is close to the “operation” LC stage

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Summary

Introduction

Warsaw’s pact states, which in end of XX century pulled out of that pact because of change of political situation, were forced to lead a national militarytechnical policy, which is differed from previous existing one. Determination of the S&DS demands in qualitative and numerical state of relevant kind of AME (or it structural elements) is the first element (unit 1) in early proposed algorithm [1] for decision of the issues deal with choice of the ways on procurement of military teams with armament.

Results
Conclusion
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