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Interoperability requirements for automated manufacturing systems in construction

Author

Listed:
  • Andrej Tibaut

    (University of Maribor)

  • Danijel Rebolj

    (University of Maribor)

  • Matjaž Nekrep Perc

    (University of Maribor)

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.

Suggested Citation

  • Andrej Tibaut & Danijel Rebolj & Matjaž Nekrep Perc, 2016. "Interoperability requirements for automated manufacturing systems in construction," Journal of Intelligent Manufacturing, Springer, vol. 27(1), pages 251-262, February.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:1:d:10.1007_s10845-013-0862-7
    DOI: 10.1007/s10845-013-0862-7
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    Citations

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    Cited by:

    1. Robert Guamán Rivera & Rodrigo García Alvarado & Alejandro Martínez-Rocamora & Fernando Auat Cheein, 2020. "A Comprehensive Performance Evaluation of Different Mobile Manipulators Used as Displaceable 3D Printers of Building Elements for the Construction Industry," Sustainability, MDPI, vol. 12(11), pages 1-17, May.
    2. Wurong Fu, 2021. "Macroscopic numerical model of reinforced concrete shear walls based on material properties," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1401-1410, June.
    3. Austin D. McClymonds & Somayeh Asadi & Robert M. Leicht, 2024. "Proposing a Computational Modeling Framework for Generating Masonry Wall Units, Enhancing the Information Within a BIM," SN Operations Research Forum, Springer, vol. 5(2), pages 1-21, June.
    4. Madeleine Hoeft & Marianne Pieper & Kent Eriksson & Hans-Joachim Bargstädt, 2021. "Toward Life Cycle Sustainability in Infrastructure: The Role of Automation and Robotics in PPP Projects," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
    5. Jiaxing Wang & Sibin Gao & Zhejun Tang & Dapeng Tan & Bin Cao & Jing Fan, 2023. "A context-aware recommendation system for improving manufacturing process modeling," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1347-1368, March.
    6. Omid Davtalab & Ali Kazemian & Xiao Yuan & Behrokh Khoshnevis, 2022. "Automated inspection in robotic additive manufacturing using deep learning for layer deformation detection," Journal of Intelligent Manufacturing, Springer, vol. 33(3), pages 771-784, March.
    7. Finn G. Feldmann, 2022. "Towards Lean Automation in Construction—Exploring Barriers to Implementing Automation in Prefabrication," Sustainability, MDPI, vol. 14(19), pages 1-22, October.

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