Standard

Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization. / Medvedev, S. N.; Aksyonova, O. P.; Aksyonova, E. K.
Lecture Notes in Electrical Engineering: Book Series. ed. / A.A. Radionov ; V.R. Gasiyarov. Vol. 986 Springer, 2023. p. 57-64 Chapter 6 (Advances in Automation IV; Vol. 986).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Medvedev, SN, Aksyonova, OP & Aksyonova, EK 2023, Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization. in AA Radionov & VR Gasiyarov (eds), Lecture Notes in Electrical Engineering: Book Series. vol. 986, Chapter 6, Advances in Automation IV, vol. 986, Springer, pp. 57-64. https://doi.org/10.1007/978-3-031-22311-2_6

APA

Medvedev, S. N., Aksyonova, O. P., & Aksyonova, E. K. (2023). Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization. In A. A. Radionov , & V. R. Gasiyarov (Eds.), Lecture Notes in Electrical Engineering: Book Series (Vol. 986, pp. 57-64). [Chapter 6] (Advances in Automation IV; Vol. 986). Springer. https://doi.org/10.1007/978-3-031-22311-2_6

Vancouver

Medvedev SN, Aksyonova OP, Aksyonova EK. Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization. In Radionov AA, Gasiyarov VR, editors, Lecture Notes in Electrical Engineering: Book Series. Vol. 986. Springer. 2023. p. 57-64. Chapter 6. (Advances in Automation IV). doi: 10.1007/978-3-031-22311-2_6

Author

Medvedev, S. N. ; Aksyonova, O. P. ; Aksyonova, E. K. / Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization. Lecture Notes in Electrical Engineering: Book Series. editor / A.A. Radionov ; V.R. Gasiyarov. Vol. 986 Springer, 2023. pp. 57-64 (Advances in Automation IV).

BibTeX

@inproceedings{9ac3c5f807ed4ec9abaf43df4c23d811,
title = "Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization",
abstract = "The article provides a comparison of enterprise management information systems. Their functionality is analyzed with the definition of the pros and cons when used in an industrial enterprise, and the presence of a simulation module in them is checked, which allows for preliminary modeling of production processes to determine the ability of the enterprise to fulfill its obligations under existing orders. The information system developed by the authors is described, which includes three different, but interconnected modules, namely, a module for determining the optimal order distribution plan, a simulation module for “running” the model and comparing data with the optimal result obtained in the module for determining the optimal plan, as well as an analysis module, accounting and moving parts. In this system, when modeling processes, the distribution of enterprise orders is carried out by modeling the process of manufacturing item items using a new approach of “order distribution”. This approach is based on the Kanban method, which differs from the standard method in that it is extended by the use of intelligent agents that collect, analyze, distribute, and store enterprise orders.",
author = "Medvedev, {S. N.} and Aksyonova, {O. P.} and Aksyonova, {E. K.}",
note = "This work is supported by Act 211 Government of the Russian Federation, contract No. 02.A03.21.0006. The study was carried out with the financial support of the Russian Federal Property Fund in the framework of the scientific project No. 18–37-00183.",
year = "2023",
month = jan,
day = "20",
doi = "10.1007/978-3-031-22311-2_6",
language = "English",
isbn = "978-303122310-5",
volume = "986",
series = "Advances in Automation IV",
publisher = "Springer",
pages = "57--64",
editor = "{Radionov }, A.A. and V.R. Gasiyarov",
booktitle = "Lecture Notes in Electrical Engineering",
address = "Germany",

}

RIS

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T1 - Using an Information System for Distributing Orders at an Industrial Enterprise for Efficient Capacity Utilization

AU - Medvedev, S. N.

AU - Aksyonova, O. P.

AU - Aksyonova, E. K.

N1 - This work is supported by Act 211 Government of the Russian Federation, contract No. 02.A03.21.0006. The study was carried out with the financial support of the Russian Federal Property Fund in the framework of the scientific project No. 18–37-00183.

PY - 2023/1/20

Y1 - 2023/1/20

N2 - The article provides a comparison of enterprise management information systems. Their functionality is analyzed with the definition of the pros and cons when used in an industrial enterprise, and the presence of a simulation module in them is checked, which allows for preliminary modeling of production processes to determine the ability of the enterprise to fulfill its obligations under existing orders. The information system developed by the authors is described, which includes three different, but interconnected modules, namely, a module for determining the optimal order distribution plan, a simulation module for “running” the model and comparing data with the optimal result obtained in the module for determining the optimal plan, as well as an analysis module, accounting and moving parts. In this system, when modeling processes, the distribution of enterprise orders is carried out by modeling the process of manufacturing item items using a new approach of “order distribution”. This approach is based on the Kanban method, which differs from the standard method in that it is extended by the use of intelligent agents that collect, analyze, distribute, and store enterprise orders.

AB - The article provides a comparison of enterprise management information systems. Their functionality is analyzed with the definition of the pros and cons when used in an industrial enterprise, and the presence of a simulation module in them is checked, which allows for preliminary modeling of production processes to determine the ability of the enterprise to fulfill its obligations under existing orders. The information system developed by the authors is described, which includes three different, but interconnected modules, namely, a module for determining the optimal order distribution plan, a simulation module for “running” the model and comparing data with the optimal result obtained in the module for determining the optimal plan, as well as an analysis module, accounting and moving parts. In this system, when modeling processes, the distribution of enterprise orders is carried out by modeling the process of manufacturing item items using a new approach of “order distribution”. This approach is based on the Kanban method, which differs from the standard method in that it is extended by the use of intelligent agents that collect, analyze, distribute, and store enterprise orders.

UR - http://www.scopus.com/inward/record.url?scp=85149623689&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-22311-2_6

DO - 10.1007/978-3-031-22311-2_6

M3 - Conference contribution

SN - 978-303122310-5

VL - 986

T3 - Advances in Automation IV

SP - 57

EP - 64

BT - Lecture Notes in Electrical Engineering

A2 - Radionov , A.A.

A2 - Gasiyarov, V.R.

PB - Springer

ER -

ID: 36238244