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EXPORT DATE: 26 April 2024

@CONFERENCE{Cisterna2022,
author={Cisterna, Diego and Lauble, Svenja and Haghsheno, Shervin and Wolber, Jan },
editor={ },
title={Synergies Between Lean Construction and Artificial Intelligence: AI Driven Continuous Improvement Process}, 
journal={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, 
booktitle={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, 
year={2022},
pages={199-210},
url={http://www.iglc.net/papers/details/1957},
doi={10.24928/2022/0122},
affiliation={ Research Fellow. Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in  Construction, 76131 Karlsruhe, Germany. Phone +49 (0)721 608 45476, diego.cisterna@kit.edu,  orcid.org/0000-0003-4282-1141  ; 2 Research Fellow. Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in  Construction, 76131 Karlsruhe, Germany. Phone +49 (0)721 608 41513, svenja.lauble@kit.edu,  orcid.org/0000-0002-0376-1791  ; 3 Professor. Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in  Construction, 76131 Karlsruhe, Germany. Phone +49 (0)721 608 42646, shervin.haghsheno@kit.edu,  orcid.org/0000-0002-0602-6370 ; Research Fellow. Karlsruhe Institute of Technology (KIT), Institute of Technology and Management in  Construction, 76131 Karlsruhe, Germany. Phone +49 (0)721 608 41513, jan.wolber@kit.edu, orcid.org/ 0000-0002-7374-1585  },
abstract={Both, Lean Construction (LC) techniques and Artificial Intelligence (AI) methods strive for the continuous improvement of production systems in projects and organizations. A combined implementation of both approaches is an ongoing research area. Therefore, the question arises as to whether the added value generated by implementing both approaches jointly is greater than the added value generated by implementing them independently and what is the significance of people in their combined use. This paper explores theoretically the potential of synergies between LC and AI in the AEC sector with exemplary use cases as well as their resulting effects. Humans play a crucial role as interface between a combined use of both of them. As a result, a framework containing LC, AI and people is formed as basis for further combined developments. Therefore, change management, an area in which Lean has spent several years developing, can help both approaches gain traction. With the results, targeted applications can be developed, and practice can be supported. },
author_keywords={Lean construction, artificial intelligence, continuous improvement, integration, cultural  change },
address={Edmonton, Canada },
issn={2309-0979 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}