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УДК 004.94
ПРИКЛАДНЫЕ ИНСТРУМЕНТЫ ДЛЯ МОДЕЛИРОВАНИЯ ПРОХОДЯЩИХ
ПРОЦЕССОВ В ПРЕДПРИЯТИЯХ
В. Д. Дмитриев, В. В. Суетин, И. В. Кауц Научный руководитель - В.В. Кукарцев
Сибирский государственный университет науки и технологий имени академика М. Ф. Решетнева Российская Федерация, 660037, г. Красноярск, просп. им. газ. «Красноярский рабочий», 31
E-mail: dotabatiko121@gmail.com
В данной статье особое внимание уделено различным инструментам имитационного моделирования. Каждая программа имеет различные возможности, выбор программы для моделирования зависит от задачи ее использования для пользователя.
Ключевые слова: моделирование, входные данные, реинжиниринг, программные инструменты, параметры
APPLIED TOOLS FOR MODELING ONGOING PROCESSES IN THE ENTERPRISES
V. D. Dmitriev, V. V. Suetin, I. V. Kauts Scientific supervisor - V. V. Kukartsev
Reshetnev Siberian State University of Science and Technology 31, Krasnoyarskii rabochii prospekt, Krasnoyarsk, 660037, Russian Federation E-mail: dotabatiko121@gmail.com
In this article, special attention is paid to various simulation tools. Each program has different capabilities, the choice of a program for modeling depends on the task of its use for the user.
Key words: modeling, input data, reengineering, software tools, parameters
Simulation modeling is a study technique in which the system itself is replaced by a model as close as possible to the given parameters, which describes the processes as they would proceed in reality in order to obtain data about this system. Modeling can be divided into four stages of formation:
1) model organization,
2) model execution,
3) analysis of output data,
4) evaluation of possible alternative routes.
A working simulation model must accurately mimic the processes taking place in the company. This is done by passing through theoretical events in a reduced time mode with a visual display of the production process using animation [1].
BPR (Business Process Reengineering) is faced with the task of achieving at least one or, if possible, all of its goals:
1) improving the quality of service;
2) reduction of time for processing processes;
3) increase in productivity;
4) reduction of downtime;
Секция «Управление современными предприятиями, отраслями, комплексами»
5) reducing the cost of resources for core activities;
6) reducing the cost of maintaining the inventory warehouse.
Mark Youngblood, author of Eating the Chocolate Elephant, lists 32 different ways to achieve these goals. Some of these principles form the basis of industrial systems design. These principles have been applied in manufacturing processes for more than a decade. Some of them are used not only in production, but also in business process reengineering:
Connection of duplicate functions.
Reducing the volume of created products.
Formation based on demand.
Transfer to subcontractors of inefficiently performed functions.
Formation of broadly directed teams.
By changing the inputs in the model being created, and without running the risk of distorting current operations or harming the new system, you can compare or improve various performance measures of the reengineered operation [2].
To date, there are a large number of software tools whose main task is to model business processes. For the most part, these products represent business processes in the form of various geometric shapes. Individual intermediate functions are displayed as a series of arrows and boxes. Some characteristics of various processes or functions can be further applied as process attributes [3]. Also, each program provides for the analysis of various parameters, the extent of which depends on the methodology underlying the program. All tools can be divided into three groups:
Tools based on flow diagrams. These tools are needed to create flow diagrams, to describe the functions being executed and to determine their sequence. Flow diagram models are methodology independent and also easy to learn. But this is also their weakness, since their ease of use stems from the limited ability to model and analyze. An example of this type of modeling is the following programs: Process Charter and Optima [4].
Dynamic modeling tools. The next in terms of functionality are analog simulation programs that have the ability to show the dynamics of the created processes and systems. Models built in such programs may consist of different levels, stacks, threads, converters, and various other logical processes. Programs for this type of models: ithink and PowerSim.
Discrete event simulation tools. One of the most developed and technologically advanced simulation software is discrete-event simulation software. The capabilities of these programs include modeling the flow of objects and the ability to create a full-fledged animation, for a visual assessment of the various parameters set by the user. Examples of such programs are ServiceModel and SIMPROCESS [5, 6].
Based on all of the above, I would like to emphasize that the choice of a program for modeling should always come from the immediate need for certain parameters that the end user wants to track in the built model. Each of the programs has both its pros and cons, so before you start modeling, you need to familiarize yourself in detail with the possibility of each of them.
References
1. Kukartsev V.V., Boyko A.A. Simulation-dynamic model for calculating the purchase of equipment using a bond loan // patent, 2020, No. 20, pp. 3-7
2. Business Studio [Электронный ресурс] URL: https://www.businessstudio.ru/articles /article/primenenie_imitatsionnogo_modelirovaniya_na_prakti/ (дата обращения 12.01.2022)
3. Vuzlit.ru [Электронный ресурс] URL: https://vuzlit.ru/2003691/imitatsionnaya_ model_zhiznennogo_tsikla_proekta (дата обращения 12.01.2022)
4. Kukartsev V. V. et al. Simulation-dynamic model of working time costs calculation for performance of operations on CNC machines //Journal of Physics: Conference Series. - IOP Publishing, 2020. - Т. 1582. - №. 1. - С. 012052.
5. Milov A. V. et al. Use of artificial neural networks to correct non-standard errors of measuring instruments when creating integral joints //Journal of Physics: Conference Series. - IOP Publishing, 2018. - Т. 1118. - №. 1. - С. 012037.
6. Chzhan E. A. et al. Essence and classification of the agribusiness organizations competitive strategies //IOP Conference Series: Earth and Environmental Science. - IOP Publishing, 2019. - Т. 315. - №. 2. - С. 022106.
© Дмитриев В. Д., Суетин В. В., Кауц И. В., 2022
