ISSN 1991-2927
 

ACP № 2 (56) 2019

Author: "Aleksandr Leonidovich Savkin"

Iuliia Aleksandrovna Radionova, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Alekseevich Emelianov, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduated from F.E. Dzerzhinsky Military Academy; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; an author of publications in the field of the quality management and information security systems creation, statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Emelianov,

Aleksandr Leonodovich Savkin, FRPC JSC ‘RPA ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from the Ulyanovsk Higher Military Command School of Communications, the Marshal Budjonny Military Academy of Signal Corps; completed postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, textbooks, and articles in the field of development and modelling of communication control systems and statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Savkin

Application of Statistical Data in a Dynamic Model of Software Reliability Evaluation 54_5.pdf

Authors consider an issue of software reliability evaluation, general definitions and reliability performances as well as the existing models of reliability evaluation. The parameters of existing models have been analyzed. A model best applying for evaluating the software reliability under conditions of operational testing has been chosen. A modification of the chosen model has been developed, which takes into account the complexity of software, the work distribution while software developing, the qualification of implementers, the distinction between the complexity and importance of errors detected while testing. A database structure has been developed for storage information on experimental findings. A software implementation of initial and modified models has been carried out. A plan of experiments has been designed. A testing simulation with various combinations of initial data has been implemented. Errors of model operation have been analyzed and compared. On the base of the implemented analyze, a conclusion on a higher effectiveness of the software reliability evaluation implemented by the use of the modified model has been provided. A concept of the performance factor of an implementer has been introduced, the dynamics of this factor has been analyzed based on statistical data obtained. The analysis proved the validity of the concept determination in the model developed. The conclusion on the possibility of implementing the additional functional for software reliability evaluating with separation to modules as well as of making the recommendations on the tasks assigned to implementer after the carried-out analysis of detected errors has been drawn.

Software reliability, model of reliability evaluation, testing, effectiveness.

2018_ 4

Sections: Information systems

Subjects: Information systems.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzhinsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of creation of the quality management and information security systems, statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Emelianov,

Iuliia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; finished her postgraduate study at Ulyanovsk State Technical University; Lead Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages, and statistical analysis of supplier appraisal. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk Higher Military Command School of Communications, Marshal Budjonny Military Academy of Signal Corps, completed postgraduate studies in the Military Academy of Communications; Head of Science and Engineering Support Department of FRPC JSC ‘RPA ‘Mars’; an author of scientific works, textbooks, and articles in the field of development and modelling of communication control systems and statistical analysis of supplier appraisal. [e-mail: mars@mv.ru]A. Savkin

Information and Analytical Model of Product Testing for Counterfeit 52_4.pdf

The article considers a problem of counterfeit products and the existing methods for solving this problem. An information and analytical method for the optimization of an expert product evaluation is proposed, which uses a parameter set and allows to automate the final decision-making process. The set of parameters takes into account not only indicators for suppliers, but also possible consequences of using counterfeit products for different groups of consumers. The method is based on the application of a neural network using a certain base of expert knowledge. Network training is provided during analyzing process with the possibility of correction by an expert. Modeling of the analysis process with different sets of input parameters and various parameters of the neural network was carried out. The results are stored in the database; the neural network performance is evaluated based on these results. The database structure, input parameters structure and the visualization of experimental results are presented.

Counterfeit, modeling, evaluation parameter, database, software, neural network.

2018_ 2

Sections: Information systems

Subjects: Information systems.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzginsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of constructing the quality management and information security systems. [e-mail: mars@mv.ru]A. Emelianov,

Iulia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University, finished her postgraduate studies at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk High Education Military Communications Academy and the Marshal Budjonny Military Academy of Signal Corps; finished his postgraduate studies at the same Academy; Head of the Department of Scientific-and-Technical Activity Providing of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of papers, textbooks in the field of development and modelling of communication control systems. [e-mail: mars@mv.ru]A. Savkin

Simulation and Statistical Control of Procurement Risks 000_7.pdf

In order to optimize the acceptance control, a supplement to the statistical method of control - the dynamic characteristic of a supplier [1], was developed at the enterprise. On the basis of some supplier’s parameters and the products schedule line, a coefficient allowing to decrease a controllable sample size is composed. The article describes structure of the database developed on the basis of the method of supply statistical control and the dynamic characteristic calculation. The database allows to store statistical data about products supplies and calculation data for simulation of acceptance control. Schemes of relations between database entities and a scheme of the dynamic characteristic calculation are demonstrated in the article. A brief description of the developed software interface is considered. The software realizes the following functions: registration, data review and analysis, calculation of suppliers’ quality indices, data calculation for simulation of control.

statistical control, supplier evaluation, dynamic characteristic, evaluation specifications, simulation, database,softwar.

2017_ 2

Sections: Information systems

Subjects: Information systems, Mathematical modeling.


Aleksandr Alekseevich Emelianov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from F.E. Dzerzginsky Military Academy; Deputy Chief Engineer for Quality Assurance and Engineering Support - Head of the Management Department of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author of publications in the field of constructing the quality management and information security systems [e-mail: mars@mv.ru]A. Emelianov,

Iulia Aleksandrovna Radionova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University, finished her postgraduate studies at Ulyanovsk State Technical University; Lead Programming Engineer at FRPC JSC ‘RPA ‘Mars’; an author of articles in the field of automated workflow systems, intelligent technical documentation storages. [e-mail: julia-owl@mail.ru]I. Radionova,

Aleksandr Leonidovich Savkin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk High Education Military Communications Academy and the Marshal Budjonny Military Academy of Signal Corps; finished his postgraduate studies at the same Academy; Head of the Department of Scientific-and-Technical Activity Providing of Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’; an author papers, textbooks in the field of development and modeling of communication control systems. [e-mail: mars@mv.ru]A. Savkin

The Statistical Approach to the Assessment of Suppliers for the Large Instrument Making Enterprise 000_10.pdf

The main components of statistical acceptance inspection such as plans, types, levels, operative characteristics, risks of suppliers and customers, acceptance and reject levels of defectiveness, and also dependency between all the parameters on the basis of the mathematical statistics theory are considered. The use of acceptance statistical control of the purchasing products and components parcel, one-, two-, and three-stage control plans, methods for controlled sampling frame volume calculation, the main problems arising in case of applying the specified methods are also considered. The authors define the terms of the supplier dynamic characteristic and supplier confidence level. The authors also propose the method for constructing the supplier dynamic characteristic on the basis of capture and analysis of statistical data of incoming inspection over the previous periods. The data include the supplier parameters values, the forming quality index of the supplier, the degree of merit for the products parcel as whole and individual products. The dependency of the controlled sampling frames on the supplier dynamic characteristics is considered.

Statistical control, supplier assessment, dynamic characteristic.

2016_ 4

Sections: Information systems

Subjects: Information systems.


Ruslan Gabdullovich Ziganshin, Federal Research-and-Production Center Open Joint-Stock Company 'Research-and-Production Association 'Mars', Candidate of Military Sciences; graduated from the Military Communications Academy named after S. Budenny; finished his post-graduate studies at the same academy; lead engineer at Federal Research-and-Production Center 'Research-and-Production Association 'Mars'; specializes in the field of operation and maintenance of communications equipment and C2 systems; author of publications in the field of reliability theory and technical diagnostics. [e-mail: zuganshin-ruslan@yandex.ru]R. Ziganshin,

Vladimir Viktorovich Kalnikov, Federal Research-and-Production Center Open Joint-Stock Company 'Research-and-Production Association 'Mars', Candidate of Engineering, Associate Professor; graduated from the Faculty of Radio-Engineering of Kiev Higher Military Communications Engineering College named after M. Kalinin; chief specialist at Federal Research-and-Production Center 'Research-and-Production Association 'Mars'; specializes in the field of multi-channel electricity and fiber-optic communications; author of articles, text-books, inventions in the field of design of digital and fiber-optic transmission systems. [e-mail: kvvik@bk.ru]V. Kalnikov,

Alexander Leonidovich Savkin, Federal Research-and-Production Center Open Joint-Stock Company 'Research-and-Production Association 'Mars', Candidate of Military Sciences, Associate Professor; graduated from Ulyanovsk Higher Military Command Communications College, the Military Communications Academy named after S. Budenny; finished his post-graduate studies at the same academy; chief specialist at Federal Research-and-Production Center 'Research-and-Production Association 'Mars'; author of papers, text-books, articles in the field of development and modeling of C3 systems. [e-mail: mars@mv.ru]A. Savkin

Modeling for Forecasting of Radioelectronic-product Technical State 26_6.pdf

The article deals with an approach to forecasting of technical state of radioelectronic products on basis of a method of static modeling. It also cites basic ideas of the mathematical support for the considered modeling method, and analyses ways of developing modeling algorithms to forecast technical state of radioelectronic products from the point of view of their efficiency in computer implementation.

Forecasting of technical state, radioelectronic product, method of static modeling, tasks of static modeling, modeling algorithm, ways of developing modeling algorithms.

2011_ 4

Sections: Mathematical modeling, calculus of approximations and software systems

Subjects: Mathematical modeling.


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