Breaking Down the Model of an Enterprise’s Production System into Individual Agents

The model of an enterprise’s production system is broken down into its constituents so as to isolate individual components and simplify the description of production processes and their interaction. This approach reduces the system to self-sufficient elements. A common element is the automatic section, which contains organizationally related units of equipment. Description of each unit within the section by a specific model fundamentally simplifies the modeling of its operation as an autonomous system or an agent. Thus, in parallel computation, the individual processes are related by production events—for instance, completion of a product batch within the agent. This approach facilitates the development of mathematical models and shortens the wait for modeling results. In combination with inverse modeling, it permits implementation of the just in time principle.

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Publication Details

Journal
Russian Engineering Research
Published
2025-05-01
DOI
https://doi.org/10.3103/s1068798x2570073x
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Breaking Down the Model of an Enterprise’s Production System into Individual Agents

Petr M. Kuznetsov, Л. Л. Хорошко, Yu. G. Sledkov
1 links
Russian Engineering Research
Scheduling and Optimization Algorithms
article

Breaking Down the Model of an Enterprise’s Production System into Individual Agents

Petr M. Kuznetsov, Л. Л. Хорошко, Yu. G. Sledkov
article en

Abstract

The model of an enterprise’s production system is broken down into its constituents so as to isolate individual components and simplify the description of production processes and their interaction. This approach reduces the system to self-sufficient elements. A common element is the automatic section, which contains organizationally related units of equipment. Description of each unit within the section by a specific model fundamentally simplifies the modeling of its operation as an autonomous system or an agent. Thus, in parallel computation, the individual processes are related by production events—for instance, completion of a product batch within the agent. This approach facilitates the development of mathematical models and shortens the wait for modeling results. In combination with inverse modeling, it permits implementation of the just in time principle.

Russian Engineering ResearchVol. 45(5)
Moscow Aviation Institute (RU)
Openalex Percentile: Top 79%
Scheduling and Optimization Algorithms
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