BIM-enabled design for manufacture and assembly

Conference Paper (2020)
Authors

Tan Tan (University College London)

Grant Mills (University College London)

E Papadonikolaki (University College London)

Weisheng Lu (The University of Hong Kong)

Ke Chen (Huazhong University of Science and Technology)

Affiliation
External organisation
More Info
expand_more
Publication Year
2020
Language
English
Affiliation
External organisation
Pages (from-to)
314-323
ISBN (electronic)
9783798331556

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.

No files available

Metadata only record. There are no files for this record.