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Exploring the Fusion of Knowledge Graphs into Cognitive Modular Production
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.ORCID iD: 0000-0003-4288-9904
Jönköping University, School of Engineering, JTH, Construction Engineering and Lighting Science.ORCID iD: 0000-0001-7349-8557
Project Management Program, Department of Civil and Environmental Engineering, Northwestern University, Evanston, 60208-3109, IL, United States.
2023 (English)In: Buildings, E-ISSN 2075-5309, Vol. 13, no 9, article id 2306Article in journal (Refereed) Published
Abstract [en]

Modular production has been recognized as a pivotal approach for enhancing productivity and cost reduction within the industrialized building industry. In the pursuit of further optimization of production processes, the concept of cognitive modular production (CMP) has been proposed, aiming to integrate digital twins (DTs), artificial intelligence (AI), and Internet of Things (IoT) technologies into modular production systems. This fusion would imbue these systems with perception and decision-making capabilities, enabling autonomous operations. However, the efficacy of this approach critically hinges upon the ability to comprehend the production process and its variations, as well as the utilization of IoT and cognitive functionalities. Knowledge graphs (KGs) represent a type of graph database that organizes data into interconnected nodes (entities) and edges (relationships), thereby providing a visual and intuitive representation of intricate systems. This study seeks to investigate the potential fusion of KGs into CMP to bolster decision-making processes on the production line. Empirical data were collected through a computerized self-administered questionnaire (CSAQ) survey, with a specific emphasis on exploring the potential benefits of incorporating KGs into CMP. The quantitative analysis findings underscore the effectiveness of integrating KGs into CMP, particularly through the utilization of visual representations that depict the relationships between diverse components and subprocesses within a virtual environment. This fusion facilitates the real-time monitoring and control of the physical production process. By harnessing the power of KGs, CMP can attain a comprehensive understanding of the manufacturing process, thereby supporting interoperability and decision-making capabilities within modular production systems in the industrialized building industry.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 13, no 9, article id 2306
Keywords [en]
cognitive modular production, digital twin, knowledge graph, modular production
National Category
Construction Management
Identifiers
URN: urn:nbn:se:hj:diva-62627DOI: 10.3390/buildings13092306ISI: 001077080500001Scopus ID: 2-s2.0-85172808593Local ID: GOA;intsam;908655OAI: oai:DiVA.org:hj-62627DiVA, id: diva2:1803684
Funder
Vinnova, 2022-01714Available from: 2023-10-10 Created: 2023-10-10 Last updated: 2024-01-17Bibliographically approved

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Yitmen, IbrahimSadri, Habib

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