TY - JOUR
T1 - Implementation of a novel data-driven approach to optimise UK offsite housing delivery
AU - Ashayeri, I.
AU - Goulding, Jack
AU - Heesom, David
AU - Arif, Mohammed
AU - Moore, N.
AU - Obi, Lovelin
AU - Ahmed, Niyaz
AU - Saini, M.
N1 - Funding information: This work acknowledges the contribution and support of UK Research and Innovation (Project Reference: 106166).
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Several countries have started to more purposefully apply advanced offsite delivery approaches to meet specific housing shortages. The United Kingdom (UK) is no exception. Whilst the concepts and benefits of Modern Methods of Construction are 'typically' well understood, it is generally accepted that there is a paucity of knowledge on the actual understanding of optimization per se, ergo, the interrelationships between processes, and the wider understanding of 'pooling' [resource management] to promote and maximize synergy - especially to target areas of lag or bottlenecks. In this respect, the research methodological approach adopted in this paper used a single case study to critically evaluate an offsite steel-frame solution for the offsite market to deliver social housing. This approach also evaluated the potential of Generative Design, Discrete Event Simulation, and Digital Twins. Findings of this ongoing research include new opportunities and strategies for these technology-driven solutions, culminating in the development of a new conceptual offsite hub-and-spoke model. These are presented for discussion. This model allows decision-makers to interact with data in order to optimise solutions in line with demand and resource requirements.
AB - Several countries have started to more purposefully apply advanced offsite delivery approaches to meet specific housing shortages. The United Kingdom (UK) is no exception. Whilst the concepts and benefits of Modern Methods of Construction are 'typically' well understood, it is generally accepted that there is a paucity of knowledge on the actual understanding of optimization per se, ergo, the interrelationships between processes, and the wider understanding of 'pooling' [resource management] to promote and maximize synergy - especially to target areas of lag or bottlenecks. In this respect, the research methodological approach adopted in this paper used a single case study to critically evaluate an offsite steel-frame solution for the offsite market to deliver social housing. This approach also evaluated the potential of Generative Design, Discrete Event Simulation, and Digital Twins. Findings of this ongoing research include new opportunities and strategies for these technology-driven solutions, culminating in the development of a new conceptual offsite hub-and-spoke model. These are presented for discussion. This model allows decision-makers to interact with data in order to optimise solutions in line with demand and resource requirements.
UR - http://www.scopus.com/inward/record.url?scp=85144153011&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1101/4/042029
DO - 10.1088/1755-1315/1101/4/042029
M3 - Conference article
AN - SCOPUS:85144153011
SN - 1755-1307
VL - 1101
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 4
M1 - 042029
T2 - International Council for Research and Innovation in Building and Construction World Building Congress 2022, WBC 2022
Y2 - 27 June 2022 through 30 June 2022
ER -