<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In this article, it is described how the reconfigurable inter-operational buffers system built on the Digital Twin platform. Interoperating production buffers are now widely used in production. Their effect on the production system can be seen in decreasing downtime. From a cost-based point of view, the interoperating production buffers may generate a gain from the reduction in the volume of work-in-process, with which we increase production performance. This ratio depends on the average number of products that the buffers contain. The average number of pieces in the buffer is limited by the capacity of the buffer. The impact of turbulence in production is seen precisely on the average content of inter-operational production buffers. If we want to maintain work-in-process on optimal values, it is necessary to calculate and maintain the optimal capacity of each interoperating production buffer on the line. In the context of Smart Factory, it is currently possible that the current capacity of the interoperating production buffers is maintained according to the current state of production. In the subject system, real production facilities communicate with each other through the IoT as autonomous agents, which are decided on the basis of a formula to calculate the optimal capacity of the buffers, the prediction of faults and negotiation, thus actively maintaining the optimal capacity of intermediate operating production buffers for Smart Factory support.</p></abstract>

In this article, it is described how the reconfigurable inter-operational buffers system built on the Digital Twin platform. Interoperating production buffers are now widely used in production. Their effect on the production system can be seen in decreasing downtime. From a cost-based point of view, the interoperating production buffers may generate a gain from the reduction in the volume of work-in-process, with which we increase production performance. This ratio depends on the average number of products that the buffers contain. The average number of pieces in the buffer is limited by the capacity of the buffer. The impact of turbulence in production is seen precisely on the average content of inter-operational production buffers. If we want to maintain work-in-process on optimal values, it is necessary to calculate and maintain the optimal capacity of each interoperating production buffer on the line. In the context of Smart Factory, it is currently possible that the current capacity of the interoperating production buffers is maintained according to the current state of production. In the subject system, real production facilities communicate with each other through the IoT as autonomous agents, which are decided on the basis of a formula to calculate the optimal capacity of the buffers, the prediction of faults and negotiation, thus actively maintaining the optimal capacity of intermediate operating production buffers for Smart Factory support.

Concept of Reconfigurability in Interoperation Manufacturing Buffers for Smart Factory

Faculty of Mechanical Engineering, Department of Industrial Engineering

Conference Quality Production Improvement – CQPI

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

In this article, it is described how the reconfigurable inter-operational buffers system built on the Digital Twin platform. Interoperating production buffers...

Concept of Reconfigurability in Interoperation Manufacturing Buffers for Smart Factory

Published Online: Oct 08, 2019

Page range: 575 - 582

Received: Apr 09, 2019

Accepted: May 15, 2019

DOI: https://doi.org/10.2478/cqpi-2019-0077

Keywords
Smart Factory, Smart Manufacturing, interoperating production buffers, agent control, reconfigurability

© 2019 Patrik Grznár et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Concept of Reconfigurability in Interoperation Manufacturing Buffers for Smart Factory

Published Online: Oct 08, 2019

Page range: 575 - 582

Received: Apr 09, 2019

Accepted: May 15, 2019

DOI: https://doi.org/10.2478/cqpi-2019-0077

KeywordsSmart Factory, Smart Manufacturing, interoperating production buffers, agent control, reconfigurability

© 2019 Patrik Grznár et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Smart Factory, Smart Manufacturing, interoperating production buffers, agent control, reconfigurability