Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles

Rafal Cupek; Marek Drewniak; Tomasz Steclik

doi:10.1007/978-3-030-77970-2_35

Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles

Rafal Cupek
, Marek Drewniak
, Tomasz Steclik

Katedra Systemów Rozproszonych i Urządzeń Informatyki (RAU/RAU8)

AIUT
Institute of Innovative Technologies EMAG

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

5 Cytowania z bazy Scopus

Abstrakt

Automated Guided Vehicles (AGVs) have become an indispensable component of Flexible Manufacturing Systems. AGVs are also a huge source of information that can be utilised by the data mining algorithms that support the new generation of manufacturing. This paper focuses on data preprocessing, aggregation and clustering in the new generation of manufacturing systems that use the agile manufacturing paradigm and utilise AGVs. The proposed methodology can be used as the initial step for production optimisation, predictive maintenance activities, production technology verification or as a source of models for the simulation tools that are used in virtual factories.

Język oryginału	angielski
Tytuł publikacji goszczącej	Computational Science – ICCS 2021 - 21st International Conference, Proceedings
Redaktorzy	Maciej Paszynski, Dieter Kranzlmüller, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot, Peter M.A. Sloot, Peter M.A. Sloot
Wydawca	Springer Science and Business Media Deutschland GmbH
Strony	458-470
Liczba stron	13
ISBN (drukowany)	9783030779696
Identyfikatory DOI	https://doi.org/10.1007/978-3-030-77970-2_35
Status publikacji	Opublikowano - 2021
Wydarzenie	21st International Conference on Computational Science, ICCS 2021 - Virtual, Online Czas trwania: 16 cze 2021 → 18 cze 2021

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	12745 LNCS
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	21st International Conference on Computational Science, ICCS 2021
Miejscowość	Virtual, Online
Okres	16/06/21 → 18/06/21

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 9 Przemysł, innowacje i infrastruktura

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-030-77970-2_35

Inne pliki i linki

Link do publikacji w Scopus

Cytuj to

Cupek, R., Drewniak, M., & Steclik, T. (2021). Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. W M. Paszynski, D. Kranzlmüller, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, P. M. A. Sloot, P. M. A. Sloot, & P. M. A. Sloot (Red.), Computational Science – ICCS 2021 - 21st International Conference, Proceedings (str. 458-470). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 12745 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-77970-2_35

Cupek, Rafal ; Drewniak, Marek ; Steclik, Tomasz. / Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. Computational Science – ICCS 2021 - 21st International Conference, Proceedings. redaktor / Maciej Paszynski ; Dieter Kranzlmüller ; Dieter Kranzlmüller ; Valeria V. Krzhizhanovskaya ; Jack J. Dongarra ; Peter M.A. Sloot ; Peter M.A. Sloot ; Peter M.A. Sloot. Springer Science and Business Media Deutschland GmbH, 2021. str. 458-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{dd93c59d1c4b42459e805a45be357c82,

title = "Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles",

abstract = "Automated Guided Vehicles (AGVs) have become an indispensable component of Flexible Manufacturing Systems. AGVs are also a huge source of information that can be utilised by the data mining algorithms that support the new generation of manufacturing. This paper focuses on data preprocessing, aggregation and clustering in the new generation of manufacturing systems that use the agile manufacturing paradigm and utilise AGVs. The proposed methodology can be used as the initial step for production optimisation, predictive maintenance activities, production technology verification or as a source of models for the simulation tools that are used in virtual factories.",

keywords = "AI-driven analytics, Autonomous guided vehicles (AGV), Data clustering, Pattern searching",

author = "Rafal Cupek and Marek Drewniak and Tomasz Steclik",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 21st International Conference on Computational Science, ICCS 2021 ; Conference date: 16-06-2021 Through 18-06-2021",

year = "2021",

doi = "10.1007/978-3-030-77970-2\_35",

language = "English",

isbn = "9783030779696",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "458--470",

editor = "Maciej Paszynski and Dieter Kranzlm{\"u}ller and Dieter Kranzlm{\"u}ller and Krzhizhanovskaya, \{Valeria V.\} and Dongarra, \{Jack J.\} and Sloot, \{Peter M.A.\} and Sloot, \{Peter M.A.\} and Sloot, \{Peter M.A.\}",

booktitle = "Computational Science – ICCS 2021 - 21st International Conference, Proceedings",

address = "Germany",

}

Cupek, R, Drewniak, M & Steclik, T 2021, Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. w M Paszynski, D Kranzlmüller, D Kranzlmüller, VV Krzhizhanovskaya, JJ Dongarra, PMA Sloot, PMA Sloot & PMA Sloot (red), Computational Science – ICCS 2021 - 21st International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), tom 12745 LNCS, Springer Science and Business Media Deutschland GmbH, str. 458-470, 21st International Conference on Computational Science, ICCS 2021, Virtual, Online, 16/06/21. https://doi.org/10.1007/978-3-030-77970-2_35

Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. / Cupek, Rafal; Drewniak, Marek; Steclik, Tomasz.
Computational Science – ICCS 2021 - 21st International Conference, Proceedings. red. / Maciej Paszynski; Dieter Kranzlmüller; Dieter Kranzlmüller; Valeria V. Krzhizhanovskaya; Jack J. Dongarra; Peter M.A. Sloot; Peter M.A. Sloot; Peter M.A. Sloot. Springer Science and Business Media Deutschland GmbH, 2021. str. 458-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 12745 LNCS).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles

AU - Cupek, Rafal

AU - Drewniak, Marek

AU - Steclik, Tomasz

PY - 2021

Y1 - 2021

N2 - Automated Guided Vehicles (AGVs) have become an indispensable component of Flexible Manufacturing Systems. AGVs are also a huge source of information that can be utilised by the data mining algorithms that support the new generation of manufacturing. This paper focuses on data preprocessing, aggregation and clustering in the new generation of manufacturing systems that use the agile manufacturing paradigm and utilise AGVs. The proposed methodology can be used as the initial step for production optimisation, predictive maintenance activities, production technology verification or as a source of models for the simulation tools that are used in virtual factories.

AB - Automated Guided Vehicles (AGVs) have become an indispensable component of Flexible Manufacturing Systems. AGVs are also a huge source of information that can be utilised by the data mining algorithms that support the new generation of manufacturing. This paper focuses on data preprocessing, aggregation and clustering in the new generation of manufacturing systems that use the agile manufacturing paradigm and utilise AGVs. The proposed methodology can be used as the initial step for production optimisation, predictive maintenance activities, production technology verification or as a source of models for the simulation tools that are used in virtual factories.

KW - AI-driven analytics

KW - Autonomous guided vehicles (AGV)

KW - Data clustering

KW - Pattern searching

UR - https://www.scopus.com/pages/publications/85111456315

U2 - 10.1007/978-3-030-77970-2_35

DO - 10.1007/978-3-030-77970-2_35

M3 - Conference contribution

AN - SCOPUS:85111456315

SN - 9783030779696

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 458

EP - 470

BT - Computational Science – ICCS 2021 - 21st International Conference, Proceedings

A2 - Paszynski, Maciej

A2 - Kranzlmüller, Dieter

A2 - Krzhizhanovskaya, Valeria V.

A2 - Dongarra, Jack J.

A2 - Sloot, Peter M.A.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 21st International Conference on Computational Science, ICCS 2021

Y2 - 16 June 2021 through 18 June 2021

ER -

Cupek R, Drewniak M, Steclik T. Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. W Paszynski M, Kranzlmüller D, Kranzlmüller D, Krzhizhanovskaya VV, Dongarra JJ, Sloot PMA, Sloot PMA, Sloot PMA, redaktorzy, Computational Science – ICCS 2021 - 21st International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. str. 458-470. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-77970-2_35

Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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