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ISPRS Int. J. Geo-Inf. 2017, 6(9), 281; doi:10.3390/ijgi6090281

Mapping Parallels between Outdoor Urban Environments and Indoor Manufacturing Environments

1
Infineon Technologies Austria AG, A-9500 Villach, Austria
2
Research Group Geoinformation, Institute of Geodesy, Graz University of Technology, A-8010 Graz, Austria
3
Department for E-Governance and Administration, Danube University Krems, A-3500 Krems, Austria
*
Author to whom correspondence should be addressed.
Received: 11 July 2017 / Revised: 24 August 2017 / Accepted: 4 September 2017 / Published: 6 September 2017
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Abstract

The concepts of “Smart Cities” and “Smart Manufacturing” are different data-driven domains, although both rely on intelligent information technology and data analysis. With the application of linked data and affordance-based approaches, both domains converge, paving the way for new and innovative viewpoints regarding the comparison of urban tasks with indoor manufacturing tasks. The present study builds on the work, who state that cities are scaled versions of each other, by extending this thesis towards indoor manufacturing environments. Based on their structure and complexity, these environments are considered to form ecosystems of their own, comparable to “small cities”. This conceptual idea is demonstrated by examining the process of human problem-solving in transportation situations from both perspectives (i.e., city-level and manufacturing-level). In particular, the authors model tasks of human operators that are used to support transportation processes in indoor manufacturing environments based on affordances and spatial-temporal data. This paper introduces the fundamentals of the transformation process of outdoor tasks and process planning activities to indoor environments, particularly to semiconductor manufacturing environments. The idea is to examine the mapping of outdoor tasks and applications to indoor environments, and vice-versa, based on an example focusing on the autonomous transportation of production assets in a manufacturing environment. The approach is based on a spatial graph database, populated with an indoor navigation ontology and instances of indoor and outdoor objects. The results indicate that human problem-solving strategies can be applied to indoor manufacturing environments to support decision-making in autonomous transportation tasks. View Full-Text
Keywords: indoor manufacturing; linked data; urban versus manufacturing; smart manufacturing; smart transportation indoor manufacturing; linked data; urban versus manufacturing; smart manufacturing; smart transportation
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MDPI and ACS Style

Schabus, S.; Scholz, J.; Lampoltshammer, T.J. Mapping Parallels between Outdoor Urban Environments and Indoor Manufacturing Environments. ISPRS Int. J. Geo-Inf. 2017, 6, 281.

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