Implementation of reliable net-centric management of IoT industrial workshop for small-scale production

Chernorutsky, Igor; Kotlyarov, Vsevolod; Shyamasundar, R. K.; Tolstoles, Alexey; Voinov, Nikita

doi:10.1088/1757-899x/497/1/012040

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The prevailing trend in modern production organization involves shifting towards sophisticated digital, intelligent production technologies, and robotic systems. Embedded within this trend is the defining direction for the future of material goods and service production, which revolves around employing production networks featuring networkcentric control [1]. Examples of modern production sites are complexes of multifunctional computer numerical control (CNC) machines, 3D printers, and robots, which are integrated into a network to create conditions for effective planning and optimal implementation of parallel technological processes [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Simulation Modeling of Single and High-Volume Machine-Building Productions

Savelyeva,

Nikonova,

Zhetessova

et al. 2024

Designs

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The authors of this article analyze the existing methods and models of technological preparation of machine-building industries. The structure of a three-level simulation model with network-centric control, the structures of individual elements of the simulation model, and the process of simulation modeling are described. The criteria for choosing a rational option for the processing technological route have been determined. During this research, a simulation program was implemented in C++. It allows you to select the optimal scenario for the operation of a production site based on two criteria: time and cost. The volume of implementation is about 2 × 103 lines of code. A diagram of the modeling algorithm for the implemented program and a description of the classes and their interactions are given in the article. The developed simulation model was tested at a machine-building enterprise using the example of the “Pusher” part, manufactured under single-unit production conditions. The technological equipment used for the manufacture of this part was formed in the form of input data of the simulation model. The results of simulation modeling for the selected part are described. For each variant of the technological processing route, the values of variable costs and the duration of the production cycle were determined.

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Section: Introductionmentioning

confidence: 99%

Implementation of Simulation Modeling of Single and High-Volume Machine-Building Productions

Savelyeva,

Nikonova,

Zhetessova

et al. 2024

Designs

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show abstract

“…The current direction of organizing modern production is the transition to advanced digital, intelligent production technologies and robotic systems. Within this direction, the defining trend of the future material production of goods and services is the use of production networks with networkcentric control [1]. Examples of modern production sites are complexes of multifunctional computer numerical control (CNC) machines, 3D printers and robots, which are integrated into a network to create conditions for effective planning and optimal implementation of parallel technological processes [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Simulation Modeling of Single and High‐Volume Machine‐Building Productions

Nikonova,

Savelyeva,

Zhetessova

et al. 2023

Preprint

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The authors of the article analyze the existing methods and models of technological preparation of machine-building industries. The structure of a three-level simulation model with network-centric control, the structures of individual elements of the simulation model and the process of simulation modeling are described. The criteria for choosing a rational option for the processing technological route have been determined. During the research, a simulation program was implemented in C++. It allows you to select the optimal scenario for the operation of a production site based on two criteria: time and cost. The volume of implementation is about 2x103 lines of code. A diagram of the modeling algorithm for the implemented program, a description of the classes and their interactions are given in the article. The developed simulation model was tested at a machine-building enterprise using the example of the “Pusher” part, manufactured under single-unit production condi-tions. The technological equipment used for the manufacture of this part was formed in the form of input data of the simulation model. The results of simulation modeling for the selected part are described. For each variant of the technological processing route, the values of variable costs and the duration of the production cycle were determined.

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“…Delgado-Clavero et al [24] introduces an IIOT data management platform, which promotes the semantics of monitoring industrial IoT devices. Chernorutsky et al [25] constructed and proved an abstract network set theory model of multi-stage process developing over time. Rúbio et al [26] describes the latest technologies related to IoT devices and network physical systems, and introduces application cases related to predictive maintenance.…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Distributed Simulation of Industrial Automation Production Line Management

Wang¹,

Zhang²,

Zhang³

et al. 2022

Int. j. simul. model.

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The IoT maximizes the information and intelligence of large-scale producers, and greatly improves the supervision quality and efficiency of production lines. Existing research fails to use modern logistics simulation for distributed simulation, verification and analysis of industrial automated production line management (IAPLM). Thus, this paper studies the distributed simulation of IoT-based IAPLM. The time domain, component information and other elements are introduced into the distributed Petri network model to realize the optimization of the logic model of the industrial automation production line. The key points of distributed simulation design of IAPLM are introduced in detail, and the timing design of the production process, the mapping of logical model to distributed simulation platform, the structured processing of models, and the construction of simulation strategies for production equipment control are completed. Experimental results verify the effectiveness of the proposed model.

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Implementation of reliable net-centric management of IoT industrial workshop for small-scale production

Cited by 3 publications

References 5 publications

Implementation of Simulation Modeling of Single and High-Volume Machine-Building Productions

Implementation of Simulation Modeling of Single and High-Volume Machine-Building Productions

Implementation of Simulation Modeling of Single and High‐Volume Machine‐Building Productions

IoT-Based Distributed Simulation of Industrial Automation Production Line Management

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