TY - JOUR
T1 - Big data for Design Options Repository
T2 - Towards a DFMA approach for offsite construction
AU - Gbadamosi, Abdul Quayyum
AU - Oyedele, Lukumon
AU - Mahamadu, Abdul Majeed
AU - Kusimo, Habeeb
AU - Bilal, Muhammad
AU - Davila Delgado, Juan Manuel
AU - Muhammed-Yakubu, Naimah
N1 - Funding Information:
The authors will like to acknowledge the funding support for this study by the Engineering and Physical Sciences Research Council (EPSRC), grant number EP/S031480/1 . The authors will also like to appreciate effort of Adekansola Labo-Popoola and Sofiat Abioye for facilitating the focus group discussion.
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - A persistent barrier to the adoption of offsite construction is the lack of information for assessing prefabrication alternatives and the choices of suppliers. This study integrates three aspects of offsite construction, including BIM, DFMA and big data, to propose a Big data Design Options Repository (BIG-DOR). The proposed BIG-DOR system will connect BIM clients to manufacturers/supplier's information such as prefab component cost and production lead times. In this study, we propose a framework for integrating BIG-DOR into the process of offsite construction delivery. The design of the BIG-DOR system architecture, as well as the key components such as the DFMA option-based 3D objects classifier, is presented. The contribution to the knowledge of this study is the successful integration of BIM, big data, DFMA and offsite construction in a single framework and the development of a design alternatives assessment system for offsite construction adoption using this framework.
AB - A persistent barrier to the adoption of offsite construction is the lack of information for assessing prefabrication alternatives and the choices of suppliers. This study integrates three aspects of offsite construction, including BIM, DFMA and big data, to propose a Big data Design Options Repository (BIG-DOR). The proposed BIG-DOR system will connect BIM clients to manufacturers/supplier's information such as prefab component cost and production lead times. In this study, we propose a framework for integrating BIG-DOR into the process of offsite construction delivery. The design of the BIG-DOR system architecture, as well as the key components such as the DFMA option-based 3D objects classifier, is presented. The contribution to the knowledge of this study is the successful integration of BIM, big data, DFMA and offsite construction in a single framework and the development of a design alternatives assessment system for offsite construction adoption using this framework.
KW - Big data
KW - Big-DOR
KW - BIM
KW - DFMA
KW - Offsite construction
UR - http://www.scopus.com/inward/record.url?scp=85091934082&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2020.103388
DO - 10.1016/j.autcon.2020.103388
M3 - Article
AN - SCOPUS:85091934082
SN - 0926-5805
VL - 120
JO - Automation in Construction
JF - Automation in Construction
M1 - 103388
ER -