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Geographic Information Science and Technology as Key Approach to unveil the Potential of Industry 4.0 - How Location and Time Can Support Smart Manufacturing

Topics: Decision Support Systems; Industrial Automation and Robotics; Intelligent Design and Manufacturing; Performance Evaluation and Optimization; Production Planning, Scheduling and Control; Resources and Knowledge Management in Industry

Authors: Stefan Schabus 1 and Johannes Scholz 2

Affiliations: 1 University of Salzburg, Austria ; 2 Graz University of Technology, Austria

ISBN: 978-989-758-123-6

ISSN: 2184-2809

Keyword(s): Geographic Information Science, Smart Manufacturing, Industry 4.0, Space and Time.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Industrial Automation and Robotics ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Intelligent Design and Manufacturing ; Knowledge-Based Systems ; Performance Evaluation and Optimization ; Production Planning, Scheduling and Control ; Resources and Knowledge Management in Industry ; Symbolic Systems

Abstract: Productivity of manufacturing processes in Europe is a key issue. Therefore, smart manufacturing and Industry 4.0 are terms that subsume innovative ways to digitally support manufacturing. Due to the fact, that geography is currently making the step from outdoor to indoor space, the approach presented here utilizes Geographical Information Science applied to smart manufacturing. The objective of the paper is to model an indoor space of a production environment and to apply Geographic Information Science methods. In detail, movement data and quality measurements are visualized and analysed using spatial-temporal analysis techniques to compare movement and transport behaviours. Artificial neural network algorithms can support the structured analysis of (spatial) Big Data stored in manufacturing companies. In this article, the basis for a) GIS-based visualization and b) data analysis with self-learning algorithms, are the location and time when and where manufacturing processes happen. T he results show that Geographic Information Science and Technology can substantially contribute to smart manufacturing, based on two examples: data analysis with Self Organizing Maps for human visual exploration of historically recorded data and an indoor navigation ontology for the modelling of indoor production environments and autonomous routing of production assets. (More)

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Paper citation in several formats:
Schabus, S. and Scholz, J. (2015). Geographic Information Science and Technology as Key Approach to unveil the Potential of Industry 4.0 - How Location and Time Can Support Smart Manufacturing.In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, ISSN 2184-2809, pages 463-470. DOI: 10.5220/0005510804630470

@conference{icinco15,
author={Stefan Schabus. and Johannes Scholz.},
title={Geographic Information Science and Technology as Key Approach to unveil the Potential of Industry 4.0 - How Location and Time Can Support Smart Manufacturing},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={463-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005510804630470},
isbn={978-989-758-123-6},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Geographic Information Science and Technology as Key Approach to unveil the Potential of Industry 4.0 - How Location and Time Can Support Smart Manufacturing
SN - 978-989-758-123-6
AU - Schabus, S.
AU - Scholz, J.
PY - 2015
SP - 463
EP - 470
DO - 10.5220/0005510804630470

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