Legacy systems interactions with the supply chain through the C2NET cloud-based platform

Khurshid Ali Qureshi, Wael M. Mohammed, Borja Ramis Ferrer, Jose L.Martinez Lastra, Carlos Agostinho

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

2 Citations (Scopus)

Abstract

Enterprise Resource Planning (ERP) represents the highest level of the manufacturing systems according to ISA-95 standard. It includes supply chain management, and customer-manufacturer-supplier interactions, essential to a successful business relationship in the frame of Industry 4.0. Many research efforts are being put in place to follows the latest ICT advances, combining them with manufacturing systems technologies. In this manner, the C2NET factories of future project (c2net-project.eu) has been put in place to provide a cloud-based collaborative network for supply chain interactions. This research paper focuses on providing a solution for retrieving ERP data via a Legacy System Hub, which is powered by the previous PlantCockpit project (www.tut.fi/plantcockpit-os/) outcomes. This solution allows the C2NET users to transfer the ERP data from the company side to the C2NET platform via the Data Collection Framework (DCF). Thus, the contribution of this research work is a generic solution that enables the interaction between systems owned by different organizations involved in the same supply chain. As C2NET targets the Small and Medium-sized Enterprises (SMEs), three data adapters are developed for MS Excel, SQL and RESTful data sources. The result of this research enhances the users experience in terms of interface and it might help in the C2NET databases for controlling and monitoring the instance changes in the ERP data on the company side.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 15th International Conference on Industrial Informatics, INDIN 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages725-731
Number of pages7
ISBN (Electronic)9781538608371
DOIs
Publication statusPublished - 10 Nov 2017
Event15th IEEE International Conference on Industrial Informatics, INDIN 2017 - Emden, Emden, Germany
Duration: 24 Jul 201726 Jul 2017

Conference

Conference15th IEEE International Conference on Industrial Informatics, INDIN 2017
CountryGermany
CityEmden
Period24/07/1726/07/17

Keywords

  • data collection
  • Enterprises
  • Industry 4.0
  • SME
  • supply chain

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