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

I. Ashayeri, Jack Goulding, David Heesom, Mohammed Arif, Nathan Moore, Lovelin Obi, Niyaz Ahmed, M. Saini

Research output: Contribution to journalConference articlepeer-review

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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 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.

Original languageEnglish
Article number042029
Number of pages11
JournalIOP Conference Series: Earth and Environmental Science
Volume1101
Issue number4
DOIs
Publication statusPublished - 1 Nov 2022
Externally publishedYes
EventInternational Council for Research and Innovation in Building and Construction World Building Congress 2022, WBC 2022 - Melbourne, Australia
Duration: 27 Jun 202230 Jun 2022

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