A multi-agent approach for processing industrial enterprise data

Wael M. Mohammed; Borja Ramis Ferrer; Jose L. Martinez; Raquel Sanchis; Beatriz Andres; Carlos Agostinho

doi:10.1109/ICE.2017.8280018

A multi-agent approach for processing industrial enterprise data

Wael M. Mohammed
, Borja Ramis Ferrer
, Jose L. Martinez
, Raquel Sanchis
, Beatriz Andres
, Carlos Agostinho

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

11 Citations (Scopus)

41 Downloads (Pure)

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 language	English
Title of host publication	2017 International Conference on Engineering, Technology and Innovation
Subtitle of host publication	Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
Publisher	IEEE
Pages	1209-1215
Number of pages	7
ISBN (Electronic)	9781538607749
DOIs	https://doi.org/10.1109/ICE.2017.8280018
Publication status	Published - 2 Feb 2018
Publication type	A4 Article in conference proceedings
Event	International Conference on Engineering, Technology and Innovation - Duration: 1 Jan 1900 → …

Conference

Conference	International Conference on Engineering, Technology and Innovation
Period	1/01/00 → …

Keywords

Cloud Based
Data Collection
Enterprise
Multi-Agent Systems
supply Chain

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Computer Science Applications
Software
Engineering (miscellaneous)
Computer Networks and Communications

Access to Document

10.1109/ICE.2017.8280018

A Multi-agent Approach 2017
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 349 KB

http://urn.fi/URN:NBN:fi:tuni-202012098657

Cite this

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. In 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). IEEE. https://doi.org/10.1109/ICE.2017.8280018

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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.",

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

A multi-agent approach for processing industrial enterprise data. / Mohammed, Wael M.; Ferrer, Borja Ramis; Martinez, Jose L. et al.
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. p. 1209-1215.

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

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Mohammed WM, Ferrer BR, Martinez JL, Sanchis R, Andres B, Agostinho C. A multi-agent approach for processing industrial enterprise data. In 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. p. 1209-1215 doi: 10.1109/ICE.2017.8280018

A multi-agent approach for processing industrial enterprise data

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Keywords

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