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Journal of Intelligent Manufacturing

Erschienen in:

10.01.2014

Interoperability requirements for automated manufacturing systems in construction

verfasst von: Andrej Tibaut, Danijel Rebolj, Matjaž Nekrep Perc

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 1/2016

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Abstract

Multi-disciplinary software interoperability in the Architecture, Engineering, Construction and Operations industry is becoming a new and widely adopted business culture. Technical advances in interoperability architectures, frameworks, methods and standards during the last decade resulted in higher maturity of product and process models. Mature models, in effect, enable data exchange by an increasing number of software applications in the industry. This establishes trust in data exchange and results in the lower cost impact of inefficient interoperability. The negative cost impact increases with advancing life-cycle phase, from planning and design phase to construction phase and to operation and maintenance phase. Interoperability in the planning and design phase is most mature and well published, while interoperability in the construction phase and for automated manufacturing is less researched. This paper reviews state-of-the art automated manufacturing systems in construction and researches interoperability requirements for automated construction in context of the entire building lifecycle. Our research is based on experimental free-form clay building, designed with embedded simple HVAC components, and manufactured with additive layer technology. Conclusions provide valuable results for interoperability research and practice in construction projects with automated manufacturing systems in place.

Vorheriger Artikel A survey of multi-factory scheduling

Nächster Artikel Facilitating knowledge sharing and reuse in building and construction domain: an ontology-based approach

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Titel: Interoperability requirements for automated manufacturing systems in construction
verfasst von: Andrej Tibaut
Danijel Rebolj
Matjaž Nekrep Perc
Publikationsdatum: 10.01.2014
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 1/2016
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-013-0862-7

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