Addressing Waste During The Design Phase: A Matrix Model For The Interactions Between Robotic System And Lean Principle

Cardenas Castaneda, Jennifer Alejandra, Mudireddy, Vedasree, Martinez Rodriguez, Pablo and Ahmad, Rafiq (2022) Addressing Waste During The Design Phase: A Matrix Model For The Interactions Between Robotic System And Lean Principle. In: Proceedings of the 30th Annual Conference of the International Group for Lean Construction (IGLC30): Enabling Lean with Information Technology. International Group for Lean Construction, Edmonton, Canada, pp. 1020-1029.

[img]
Preview
Text
Castaneda et al. 2022 - Addressing Waste During the Design Phase_ A Matrix Model for the Interactions Between Robotic Systems and Lean Principles.pdf - Published Version

Download (367kB) | Preview
Official URL: https://doi.org/10.24928/2022/0211

Abstract

This paper aims to provide a visual model with design parameters that are specific tomanufacturing to reduce waste in the design stage of a construction project. Moreconstruction companies are interested in reducing waste and increasing efficiency.However, one of the main barriers that prevent the construction industry from adoptingmore technological solutions for its projects is not being clear about the direct benefitsthat would be obtained. This paper proposes using design parameters applied in a user-friendly visual model to choose the benefit to obtain for designing a construction project.These benefits are displayed as key performance indicator (KPI) options for theconstruction project. An analysis was carried out in a matrix to obtain the most relevantdesign parameters for a robotic cell in offsite construction from a manufacturing (notarchitectural or visual/aesthetic) point of view. Additionally, the visual model is designedusing a data visualization structure. The limit of the investigation involves not having thevisual tool validated in a case of a real construction company. Additionally, the visualtool is only a guide that is not quantified.

Item Type: Book Section
Additional Information: 30th Annual Conference of the International Group for Lean Construction, IGLC; Edmonton, Canada; 25-31 Jul 2022
Uncontrolled Keywords: Key Performance Indicator, Design parameters, Construction industry, Lean, Industry 4.0.
Subjects: H300 Mechanical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Related URLs:
Depositing User: John Coen
Date Deposited: 11 Aug 2022 09:39
Last Modified: 11 Aug 2022 15:01
URI: http://nrl.northumbria.ac.uk/id/eprint/49822

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics