Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
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TY - CHAP
T1 - Mass Production Versus Individualisation
AU - Fagan, Des
PY - 2023/12/22
Y1 - 2023/12/22
N2 - Shortages of land, materials and labour have driven up the cost of house building since the 2008 global financial crisis, lowering contractors' profit margins, resulting in less incentive for house builders to build. Consequently, as demand outstrips supply, market conditions favour established volume house builders, resulting in reduced buyer choice and rising concerns that contractors may opt to prioritise higher profit, mass-produced, low variation housing designs. This chapter examines how future technology can be leveraged to inject individualisation into the mass production process of housing, intercepting the default to low variation housing. This is explored through case studies that demonstrate how parametric customer design configurators, machine learning, and modular fabrication methods can be vertically integrated to redress the problem of low variation in volume house building, maintaining profitability in the process through production at scale.
AB - Shortages of land, materials and labour have driven up the cost of house building since the 2008 global financial crisis, lowering contractors' profit margins, resulting in less incentive for house builders to build. Consequently, as demand outstrips supply, market conditions favour established volume house builders, resulting in reduced buyer choice and rising concerns that contractors may opt to prioritise higher profit, mass-produced, low variation housing designs. This chapter examines how future technology can be leveraged to inject individualisation into the mass production process of housing, intercepting the default to low variation housing. This is explored through case studies that demonstrate how parametric customer design configurators, machine learning, and modular fabrication methods can be vertically integrated to redress the problem of low variation in volume house building, maintaining profitability in the process through production at scale.
KW - Housing
KW - Individualisation
KW - Mass Production
KW - Machine Learning
KW - Configurator
KW - User Interface
KW - Design Ideation
KW - Modular
M3 - Chapter (peer-reviewed)
SN - 9781032414676
SN - 1032414685
SN - 9781032414683
BT - Future Home
A2 - Moreno-Rangel, Alejandro
A2 - Conroy Dalton, Ruth
PB - Routledge
CY - London
ER -