Use of simulation modeling in flexible production management

Zakharchenko Vitaliy
Doctor of Economics, Professor, Professor of the Department of International Management and Innovation, National University «Odesa Polytechnic», Odesa, Ukraine, E-mail:v.i.zaharchenko@op.edu.ua, ORCID: https://orcid.org/ 0000-0003-2903-2471

Shvahirev Maksym
PhD student of the Department of International Management and Innovation, National University «Odesa Polytechnic», Odesa, Ukraine, E-mail:max.shvagirev99@gmail.com, ORCID: https://orcid.org/0000-0002-7452-5091

Cite this article:

Zakharchenko V., Shvahirev M. (2025) Use of simulation modeling in flexible production management. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Vykorystannja imitacijnogo modeljuvannja v upravlinni gnuchkymy vyrobnyctvamy.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odesa National Economic University (ISSN 2313-4569), Odesa National Economics University, Odesa, No. 2 (327), pp.73-79.

Abstract

The purpose of the study is to substantiate the possibility of using simulation modeling tools for complex production processes in mechanical engineering. To achieve the goal, the authors used the following methods: systemic approach; analysis and synthesis, generalization and systematization. Due to the complexity and diversity of production processes at machine-building enterprises, it is proposed to consider the analysis and further optimization using simulation modeling tools. A simulation model is a formalized description of a production system through its elements and dependencies between them, the procedure for calculating indicators that characterize these elements and dependencies is presented in the form of an algorithm that is implemented on a PC using special programs. As a result of the study, a simulation model was built of a machining shop for body parts for the production of metal-cutting machine tools has been built, where a flexible production system operates, consisting of eight cutting centers, a transport system for inter-operational movements, a warehouse of blanks, a warehouse of finished products, and computing machines. The practical significance of the proposed model makes it possible to explore variants of situations encountered in practice and to make substantiated statistical predictions. Its use is also necessary in economic recessions. Accounting for downtime, equipment repairs, and optimizing production output (without economic and mathematical modeling) are also necessary in these conditions. When using a simulation model, various optimization options are possible: determining the optimal size of a batch of parts, determining the optimal sequence of options. As a result of using this approach, the given rules made it possible to simulate the movement of parts in the production process, determine the downtime of machine tools in the production process, including due to equipment repairs. One of the most important properties of simulation models is the ability to reproduce the action and consequences of the influence of random factors, for example, machine failure, failure to deliver raw materials on time, the appearance of urgent orders, etc.

Keywords

modeling, production, imitation, model, optimization, system, programming, technology.

JEL classification:D240; L230; M110;DOI: https://doi.org/10.32680/2409-9260-2025-2-327-73-79

UD classification:334.716:330.44:621:658.5

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