Implementation of a novel data-driven approach to optimise UK offsite housing delivery

Ashayeri, I; Goulding, J; Heesom, D; Arif, M; Moore, N; Obi, L; Ahmed, N; Saini, M

Abstract

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 steelframe 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.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IOP Conference Series: Earth and Environmental Science
• Acceptance Date: Jul 1, 2022
• Publication Date: Aug 28, 2022
• Deposit Date: Feb 14, 2023
• Publicly Available Date: Feb 14, 2023
• Journal: IOP Science
• Print ISSN: 1755-1307
• Electronic ISSN: 1755-1315
• Publisher: IOP Publishing
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1088/1755-1315/1101/4/042029
• Publisher URL: https://doi.org/10.1088/1755-1315%2F1101%2F4%2F042029