Simulation Modeling Features of Various Machine-Building Enterprise Types

Долгов, В. А.; Nikishechkin, Petr A.; Ivashin, Sergey; Dolgov, Nikita

doi:10.1051/matecconf/202134603079

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…Making up the distribution law of a random variable to describe each event is a labor-intensive process, therefore, an approach to setting the distribution law using statistical sampling is relevant. Consider simulation modeling systems that allow modeling of production processes and ways to take into account probabilistic factors that arise during the operation of the system [10][11][12].…”

Section: Systematization Of Random Events That Occur During the Opera...mentioning

confidence: 99%

Approaches to accounting for random events in the modeling of production processes of production and logistics systems of machine-building enterprises

Akimov,

Nikishechkin

2024

E3S Web Conf.

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The paper considers approaches to the analysis and prediction of the state of production and logistics systems of machine-building enterprises. The main groups of random events that occur during the operation of production and logistics systems and can have a significant impact on the implementation of the production program are systematized. Simulation modeling systems are analyzed: AnyLogic, Plant Simulation, PlantTwin. The functional capabilities of simulation modeling systems for setting random events are considered. A comparison of simulation modeling systems is carried out by the method of setting the distribution of a random variable and by the possibilities of accounting for random events.

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Section: Systematization Of Random Events That Occur During the Opera...mentioning

confidence: 99%

Approaches to accounting for random events in the modeling of production processes of production and logistics systems of machine-building enterprises

Akimov,

Nikishechkin

2024

E3S Web Conf.

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“…Universal models need equipment and have already been manufactured at the enterprise earlier. Most often, universal models are models of a gatefeeding system [1][2][3][4].…”

Section: Typical Operations At the Site Of Wax Model Blocks Productionmentioning

confidence: 99%

Calculation of technological cycles of manufacturing model blocks for the lost-wax casting method, taking into account the stability coefficient of the duration processes

Dolgov

2024

E3S Web Conf.

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The paper considers the technological cycles of obtaining wax models in automatic molds, in manual molds and by the additive method. The cyclograms of the work of the site for obtaining model blocks consisting of wax models are shown. The dependences of the duration of time cycles for the considered methods of obtaining wax models are presented. It is revealed that the production of wax models in automatic molds is the most productive method, however, this method has the longest cycle of technological preparation of production. The production of wax models in manual molds has a cycle duration comparable to the previous method of technological preparation of production, however, the cycle duration of obtaining wax models for this method is longer. The additive method makes it possible to produce products with a minimum duration of the pre-production cycle. The main operations of manufacturing wax models by the methods under consideration are revealed. The influence of the stability coefficient of operations on the work organization of the site for production wax models is analyzed.

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Simulation Modeling Features of Various Machine-Building Enterprise Types

Cited by 2 publications

References 37 publications

Approaches to accounting for random events in the modeling of production processes of production and logistics systems of machine-building enterprises

Approaches to accounting for random events in the modeling of production processes of production and logistics systems of machine-building enterprises

Calculation of technological cycles of manufacturing model blocks for the lost-wax casting method, taking into account the stability coefficient of the duration processes

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