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

Department of Distributed Systems and Informatic Devices (RAU/RAU8)

AIUT
Institute of Innovative Technologies EMAG

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

5 Citations (Scopus)

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.

Original language	English
Title of host publication	Computational Science – ICCS 2021 - 21st International Conference, Proceedings
Editors	Maciej Paszynski, Dieter Kranzlmüller, Dieter Kranzlmüller, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M.A. Sloot, Peter M.A. Sloot, Peter M.A. Sloot
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	458-470
Number of pages	13
ISBN (Print)	9783030779696
DOIs	https://doi.org/10.1007/978-3-030-77970-2_35
Publication status	Published - 2021
Event	21st International Conference on Computational Science, ICCS 2021 - Virtual, Online Duration: 16 Jun 2021 → 18 Jun 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12745 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Computational Science, ICCS 2021
City	Virtual, Online
Period	16/06/21 → 18/06/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

AI-driven analytics
Autonomous guided vehicles (AGV)
Data clustering
Pattern searching

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

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

Cite this

Cupek, R., Drewniak, M., & Steclik, T. (2021). Data Preprocessing, Aggregation and Clustering for Agile Manufacturing Based on Automated Guided Vehicles. In M. Paszynski, D. Kranzlmüller, D. Kranzlmüller, V. V. Krzhizhanovskaya, J. J. Dongarra, P. M. A. Sloot, P. M. A. Sloot, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2021 - 21st International Conference, Proceedings (pp. 458-470). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 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. editor / 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. pp. 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. in M Paszynski, D Kranzlmüller, D Kranzlmüller, VV Krzhizhanovskaya, JJ Dongarra, PMA Sloot, PMA Sloot & PMA Sloot (eds), 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), vol. 12745 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 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. ed. / 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. p. 458-470 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12745 LNCS).

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

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. In Paszynski M, Kranzlmüller D, Kranzlmüller D, Krzhizhanovskaya VV, Dongarra JJ, Sloot PMA, Sloot PMA, Sloot PMA, editors, Computational Science – ICCS 2021 - 21st International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this