BIM-enabled design for manufacture and assembly

Tan Tan*, Grant Mills, Eleni Papadonikolaki, Weisheng Lu, Ke Chen

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

Design for Manufacture and Assembly (DfMA) has been introduced into the construction industry to enhance production efficiency. DfMA is a design approach and evaluation system for improving manufacturability and assemblability. This paper outlines the past and ongoing Artificial Intelligence (AI) development in manufacturing-oriented DfMA, and provides a literature review of the concept and the use of DfMA in the construction. The applications, challenges and barriers of design optimization through DfMA and BIM-enabled DfMA are summarized. This desk study shows that studies related to construction-oriented DfMA are still in infancy. At present, articles about DfMA are focused on optimizing design and engineering for manufacturability and assemblability, but rarely describe its digital enablement. This study makes up for the lack of literature review in the evaluation of DfMA with concluding a preliminary application framework, and proposes a future-oriented study and new direction for BIM-enabled DfMA.

Original languageEnglish
Title of host publicationEG-ICE 2020 Workshop on Intelligent Computing in Engineering, Proceedings
EditorsLucian-Constantin Ungureanu, Timo Hartmann
PublisherUniversitatsverlag der TU Berlin
Pages314-323
Number of pages10
ISBN (Electronic)9783798331556
Publication statusPublished - 2020
Externally publishedYes
Event27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020 - Virtual, Online, Germany
Duration: 1 Jul 20204 Jul 2020

Conference

Conference27th EG-ICE International Workshop on Intelligent Computing in Engineering 2020
Country/TerritoryGermany
CityVirtual, Online
Period1/07/204/07/20

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