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A Multi-agent Approach for Processing Industrial Enterprise Data

Title 

A Multi-agent Approach for Processing Industrial Enterprise Data

Authors

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

Year

2017

Workshop, Volumen, pages

Proceedings of the 23rd ICE/ITMC International Conference on Engineering, Technology and Innovation

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 companiy’s data. The DCF collects, transforms and stores data from both Internet of Things (IoT) devices in the factory shopfloor and company enterprises via two types of hub; Legacy Systems Hub (LSH) and IoT Hub. Since the C2NET, targets the small and medium size 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 excel files in the LSH. This technique adopts the concept of multi-agent systems for processing the data as tables in the excel files in the LSH. The multi-agent approach allows the LSH to process any excel file regardless of the full 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.

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