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SWAP-IT: Scalable and lightweight architecture for production - in the context of - Industry 4.0

This repository contains the integration guide, a supplement for the paper "SWAP-IT: Scalable and lightweight architecture for production - in the context of - Industry 4.0" that was published at the IEEE 18th International Conference on Automation Science and Engineering (CASE). We refer to the paper for a full explanation.

Abstract

In recent years, various abstract and practical architectures have been proposed in the context of Industry 4.0. While these architectures focus on different aspects, their common goal is to facilitate the transformation of a static production into a flexible, resilient, interconnected cyber-physical production system (CPPS). However, reviewing those reveals that a general procedure for applying those architectures is missing. In this paper, we propose a modular,scalable and lightweight architecture utilizing simplified semantic information models. We also present an integration guide that helps factory owners and process engineers to apply the proposed architecture. Furthermore, we also show how the factory operators can make architectural decisions according to their needs. This approach will help speed up the application of the architecture for the realization of a modular and scalable CPPS.

Integration Guide

The integration guide helps to understand and to apply the presented architecture within the paper.

License

The SWAP-IT Integration Guide is released under the CC BY 4.0 license.

Citation

If you want to cite the paper or this integration guide, please include the following reference in any resulting publication:

@INPROCEEDINGS{9926665,
  author={Lünsch, Dennis and Detzner, Peter and Ebner, Andreas and Kerner, Sören},
  booktitle={2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)}, 
  title={SWAP-IT: A Scalable and Lightweight Industry 4.0 Architecture for Cyber-Physical Production Systems}, 
  year={2022},
  volume={},
  number={},
  pages={312-318},
  doi={10.1109/CASE49997.2022.9926665}}