TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

A multi-agent approach for processing industrial enterprise data

Tutkimustuotosvertaisarvioitu

Standard

A multi-agent approach for processing industrial enterprise data. / Mohammed, Wael M.; Ferrer, Borja Ramis; Martinez, Jose 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. IEEE, 2018. s. 1209-1215.

Tutkimustuotosvertaisarvioitu

Harvard

Mohammed, WM, Ferrer, BR, Martinez, JL, Sanchis, R, Andres, B & Agostinho, C 2018, A multi-agent approach for processing industrial enterprise data. julkaisussa 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. IEEE, Sivut 1209-1215, INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION, 1/01/00. https://doi.org/10.1109/ICE.2017.8280018

APA

Mohammed, W. M., Ferrer, B. R., Martinez, J. L., Sanchis, R., Andres, B., & Agostinho, C. (2018). A multi-agent approach for processing industrial enterprise data. teoksessa 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings (Sivut 1209-1215). IEEE. https://doi.org/10.1109/ICE.2017.8280018

Vancouver

Mohammed WM, Ferrer BR, Martinez JL, Sanchis R, Andres B, Agostinho C. A multi-agent approach for processing industrial enterprise data. julkaisussa 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings. IEEE. 2018. s. 1209-1215 https://doi.org/10.1109/ICE.2017.8280018

Author

Mohammed, Wael M. ; Ferrer, Borja Ramis ; Martinez, Jose 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. IEEE, 2018. Sivut 1209-1215

Bibtex - Lataa

@inproceedings{6d67c1f836b144ea873987b0a3a21503,
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 Martinez, {Jose L.} and Raquel Sanchis and Beatriz Andres and Carlos Agostinho",
year = "2018",
month = "2",
day = "2",
doi = "10.1109/ICE.2017.8280018",
language = "English",
pages = "1209--1215",
booktitle = "2017 International Conference on Engineering, Technology and Innovation",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

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

AU - Mohammed, Wael M.

AU - Ferrer, Borja Ramis

AU - Martinez, Jose L.

AU - Sanchis, Raquel

AU - Andres, Beatriz

AU - Agostinho, Carlos

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

U2 - 10.1109/ICE.2017.8280018

DO - 10.1109/ICE.2017.8280018

M3 - Conference contribution

SP - 1209

EP - 1215

BT - 2017 International Conference on Engineering, Technology and Innovation

PB - IEEE

ER -