A multi-agent approach for processing industrial enterprise data

Wael M. Mohammed, Borja Ramis Ferrer, José L. Martínez, Raquel Sanchis, Beatriz Andres, Carlos Agostinho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The C2NET project aims to provide cloud-based platform for the supply chain interactions. The architecture of such platform includes a Data Collection Framework (DCF) for managing the collection of the company's data. The DCF collects, transforms and stores data from both Internet of Things (IoT) devices in the factory shopfloor and company enterprises data via two types of hub; Legacy system hub (LSH) and IoT hub. Since the C2NET, targets the Small and Medium-sized Enterprises (SMEs), the enterprise data, or legacy data as called in the C2NET project, can be provided via excel files. Thus, this research work highlights a technique for processing the excel files in the LSHs. This technique adopts the concept of Multi-Agent Systems for processing the data as table in the excel files in the LSH. The multi-agent approach allows the LSH to process any excel file regardless the complexity in the data structure or in the file table. Furthermore, the presented approach enhances the processing of the excel files in different aspects, such as the size of the excel file or the required processing power.

Original languageEnglish
Title of host publication2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
EditorsJoão Pedro Mendonca, Ricardo Jardim-Gonçalves, João Martins, Alain Zarli, Maria Marques, Marc Pallot
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1209-1215
Number of pages7
ISBN (Electronic)9781538607749
DOIs
Publication statusPublished - 2 Feb 2018
Event23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 - Madeira Island, Portugal
Duration: 27 Jun 201729 Jun 2017

Publication series

NameInternational ICE Conference on Engineering Technology and Innovation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-January
ISSN (Print)2334-315X

Conference

Conference23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017
CountryPortugal
CityMadeira Island
Period27/06/1729/06/17

Fingerprint

Legacy systems
Processing
Industry
Multi agent systems
Supply chains
Industrial plants
Data structures
Internet of things

Keywords

  • Cloud Based
  • Data Collection
  • Enterprise
  • Multi-Agent Systems
  • supply Chain

Cite this

Mohammed, W. M., Ferrer, B. R., Martínez, J. L., Sanchis, R., Andres, B., & Agostinho, C. (2018). A multi-agent approach for processing industrial enterprise data. In J. P. Mendonca, R. Jardim-Gonçalves, J. Martins, A. Zarli, M. Marques, & M. Pallot (Eds.), 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings (pp. 1209-1215). (International ICE Conference on Engineering Technology and Innovation; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICE.2017.8280018
Mohammed, Wael M. ; Ferrer, Borja Ramis ; Martínez, José L. ; Sanchis, Raquel ; Andres, Beatriz ; Agostinho, Carlos. / A multi-agent approach for processing industrial enterprise data. 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. editor / João Pedro Mendonca ; Ricardo Jardim-Gonçalves ; João Martins ; Alain Zarli ; Maria Marques ; Marc Pallot. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1209-1215 (International ICE Conference on Engineering Technology and Innovation).
@inproceedings{de5ef1d328fa48c18fa7831735eab401,
title = "A multi-agent approach for processing industrial enterprise data",
abstract = "The C2NET project aims to provide cloud-based platform for the supply chain interactions. The architecture of such platform includes a Data Collection Framework (DCF) for managing the collection of the company's data. The DCF collects, transforms and stores data from both Internet of Things (IoT) devices in the factory shopfloor and company enterprises data via two types of hub; Legacy system hub (LSH) and IoT hub. Since the C2NET, targets the Small and Medium-sized Enterprises (SMEs), the enterprise data, or legacy data as called in the C2NET project, can be provided via excel files. Thus, this research work highlights a technique for processing the excel files in the LSHs. This technique adopts the concept of Multi-Agent Systems for processing the data as table in the excel files in the LSH. The multi-agent approach allows the LSH to process any excel file regardless the complexity in the data structure or in the file table. Furthermore, the presented approach enhances the processing of the excel files in different aspects, such as the size of the excel file or the required processing power.",
keywords = "Cloud Based, Data Collection, Enterprise, Multi-Agent Systems, supply Chain",
author = "Mohammed, {Wael M.} and Ferrer, {Borja Ramis} and Mart{\'i}nez, {Jos{\'e} L.} and Raquel Sanchis and Beatriz Andres and Carlos Agostinho",
note = "info:eu-repo/grantAgreement/EC/H2020/636909/EU#",
year = "2018",
month = "2",
day = "2",
doi = "10.1109/ICE.2017.8280018",
language = "English",
series = "International ICE Conference on Engineering Technology and Innovation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1209--1215",
editor = "Mendonca, {Jo{\~a}o Pedro} and Ricardo Jardim-Gon{\cc}alves and Jo{\~a}o Martins and Alain Zarli and Maria Marques and Marc Pallot",
booktitle = "2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings",
address = "United States",

}

Mohammed, WM, Ferrer, BR, Martínez, JL, Sanchis, R, Andres, B & Agostinho, C 2018, A multi-agent approach for processing industrial enterprise data. in JP Mendonca, R Jardim-Gonçalves, J Martins, A Zarli, M Marques & M Pallot (eds), 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. International ICE Conference on Engineering Technology and Innovation, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1209-1215, 23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017, Madeira Island, Portugal, 27/06/17. https://doi.org/10.1109/ICE.2017.8280018

A multi-agent approach for processing industrial enterprise data. / Mohammed, Wael M.; Ferrer, Borja Ramis; Martínez, José L.; Sanchis, Raquel; Andres, Beatriz; Agostinho, Carlos.

2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. ed. / João Pedro Mendonca; Ricardo Jardim-Gonçalves; João Martins; Alain Zarli; Maria Marques; Marc Pallot. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1209-1215 (International ICE Conference on Engineering Technology and Innovation; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A multi-agent approach for processing industrial enterprise data

AU - Mohammed, Wael M.

AU - Ferrer, Borja Ramis

AU - Martínez, José L.

AU - Sanchis, Raquel

AU - Andres, Beatriz

AU - Agostinho, Carlos

N1 - info:eu-repo/grantAgreement/EC/H2020/636909/EU#

PY - 2018/2/2

Y1 - 2018/2/2

N2 - The C2NET project aims to provide cloud-based platform for the supply chain interactions. The architecture of such platform includes a Data Collection Framework (DCF) for managing the collection of the company's data. The DCF collects, transforms and stores data from both Internet of Things (IoT) devices in the factory shopfloor and company enterprises data via two types of hub; Legacy system hub (LSH) and IoT hub. Since the C2NET, targets the Small and Medium-sized Enterprises (SMEs), the enterprise data, or legacy data as called in the C2NET project, can be provided via excel files. Thus, this research work highlights a technique for processing the excel files in the LSHs. This technique adopts the concept of Multi-Agent Systems for processing the data as table in the excel files in the LSH. The multi-agent approach allows the LSH to process any excel file regardless the complexity in the data structure or in the file table. Furthermore, the presented approach enhances the processing of the excel files in different aspects, such as the size of the excel file or the required processing power.

AB - The C2NET project aims to provide cloud-based platform for the supply chain interactions. The architecture of such platform includes a Data Collection Framework (DCF) for managing the collection of the company's data. The DCF collects, transforms and stores data from both Internet of Things (IoT) devices in the factory shopfloor and company enterprises data via two types of hub; Legacy system hub (LSH) and IoT hub. Since the C2NET, targets the Small and Medium-sized Enterprises (SMEs), the enterprise data, or legacy data as called in the C2NET project, can be provided via excel files. Thus, this research work highlights a technique for processing the excel files in the LSHs. This technique adopts the concept of Multi-Agent Systems for processing the data as table in the excel files in the LSH. The multi-agent approach allows the LSH to process any excel file regardless the complexity in the data structure or in the file table. Furthermore, the presented approach enhances the processing of the excel files in different aspects, such as the size of the excel file or the required processing power.

KW - Cloud Based

KW - Data Collection

KW - Enterprise

KW - Multi-Agent Systems

KW - supply Chain

UR - http://www.scopus.com/inward/record.url?scp=85047492606&partnerID=8YFLogxK

U2 - 10.1109/ICE.2017.8280018

DO - 10.1109/ICE.2017.8280018

M3 - Conference contribution

T3 - International ICE Conference on Engineering Technology and Innovation

SP - 1209

EP - 1215

BT - 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings

A2 - Mendonca, João Pedro

A2 - Jardim-Gonçalves, Ricardo

A2 - Martins, João

A2 - Zarli, Alain

A2 - Marques, Maria

A2 - Pallot, Marc

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Mohammed WM, Ferrer BR, Martínez JL, Sanchis R, Andres B, Agostinho C. A multi-agent approach for processing industrial enterprise data. In Mendonca JP, Jardim-Gonçalves R, Martins J, Zarli A, Marques M, Pallot M, editors, 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1209-1215. (International ICE Conference on Engineering Technology and Innovation). https://doi.org/10.1109/ICE.2017.8280018