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A multi-agent approach for processing industrial enterprise data

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2017 International Conference on Engineering, Technology and Innovation
Subtitle of host publicationEngineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
PublisherIEEE
Pages1209-1215
Number of pages7
ISBN (Electronic)9781538607749
DOIs
Publication statusPublished - 2 Feb 2018
Publication typeA4 Article in a conference publication
EventInternational Conference on Engineering, Technology and Innovation -
Duration: 1 Jan 1900 → …

Conference

ConferenceInternational Conference on Engineering, Technology and Innovation
Period1/01/00 → …

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

Publication forum classification

Field of science, Statistics Finland