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EXPORT DATE: 29 April 2024

@CONFERENCE{Castaneda2022,
author={Castaneda, Jennifer Alejandra Cardenas  and Mudireddy, Vedasree  and Martinez, Pablo  and Ahmad, Rafiq  },
editor={ },
title={Addressing Waste During the Design Phase: A Matrix Model for the Interactions Between Robotic Systems and Lean Principles}, 
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={1020-1029},
url={http://www.iglc.net/papers/details/2027},
doi={10.24928/2022/0211},
affiliation={Researcher Graduate Student, Laboratory of Intelligent Manufacturing Design and Automation,  University of Alberta, Edmonton Canada, jacarden@ualberta.ca ; Researcher Graduate Student, Laboratory of Intelligent Manufacturing Design and Automation,  University of Alberta, Edmonton Canada, mudiredd@ualberta.ca ; Senior Lecturer, Department of Mechanical and Construction Engineering, Northumbria University,  Newcastle Upon Tyne, United Kingdom, pablo.rodriguez@northumbria.ac.uk, orcid.org/0000-0003- 3397-9617 ; Associate Professor, Laboratory of Intelligent Manufacturing Design and Automation, University of  Alberta, Edmonton Canada, rafiq.ahmad@ualberta.ca  },
abstract={This paper aims to provide a visual model with design parameters that are specific to manufacturing to reduce waste in the design stage of a construction project. More construction companies are interested in reducing waste and increasing efficiency. However, one of the main barriers that prevent the construction industry from adopting more technological solutions for its projects is not being clear about the direct benefits that would be obtained. This paper proposes using design parameters applied in a userfriendly visual model to choose the benefit to obtain for designing a construction project. These benefits are displayed as key performance indicator (KPI) options for the construction project. An analysis was carried out in a matrix to obtain the most relevant design parameters for a robotic cell in offsite construction from a manufacturing (not architectural or visual/aesthetic) point of view. Additionally, the visual model is designed using a data visualization structure. The limit of the investigation involves not having the visual tool validated in a case of a real construction company. Additionally, the visual tool is only a guide that is not quantified. },
author_keywords={Key Performance Indicator, Design parameters, Construction industry, Lean, Industry  4.0 },
address={Edmonton, Canada },
issn={2309-0979 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}