TY - JOUR
T1 - Optimal procurement strategy for off-site prefabricated components considering construction schedule and cost
AU - Chen, Gang
AU - Huang, Jizhuo
AU - Wang, Jun
AU - Wei, Jiangang
AU - Shou, Wenchi
AU - Cao, Zhenyuan
AU - Pan, Wenping
AU - Zhou, Jun
N1 - Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2023/3
Y1 - 2023/3
N2 - The implementation of prefabricated buildings is hindered by the high construction cost. To address this problem, it is important to determine the efficient leverage of the supply capacity of local factories to assure just-in-time delivery to the construction site, as well as to accurately model the various types of cost to achieve a near-optimal procurement strategy. This paper describes a mathematical model to optimize the procurement of prefabricated components. A genetic algorithm is applied to efficiently obtain the minimum total cost that includes installation cost, business management cost and loan interest cost. Finally, a number of numerical experiments are conducted, showing that the procurement strategy generated from the proposed mathematical model is better than the traditional procurement strategy in terms of construction duration reductions and total cost savings. The component procurement method proposed in this paper improves the scientific management ability of decision-makers, and provides purchasing framework for other prefabricated structural forms.
AB - The implementation of prefabricated buildings is hindered by the high construction cost. To address this problem, it is important to determine the efficient leverage of the supply capacity of local factories to assure just-in-time delivery to the construction site, as well as to accurately model the various types of cost to achieve a near-optimal procurement strategy. This paper describes a mathematical model to optimize the procurement of prefabricated components. A genetic algorithm is applied to efficiently obtain the minimum total cost that includes installation cost, business management cost and loan interest cost. Finally, a number of numerical experiments are conducted, showing that the procurement strategy generated from the proposed mathematical model is better than the traditional procurement strategy in terms of construction duration reductions and total cost savings. The component procurement method proposed in this paper improves the scientific management ability of decision-makers, and provides purchasing framework for other prefabricated structural forms.
KW - Genetic algorithm
KW - Procurement optimization
KW - Prefabricated building
KW - Cost optimization
UR - https://hdl.handle.net/1959.7/uws:69378
UR - http://www.scopus.com/inward/record.url?scp=85145240036&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104726
DO - 10.1016/j.autcon.2022.104726
M3 - Article
SN - 0926-5805
VL - 147
JO - Automation in Construction
JF - Automation in Construction
M1 - 104726
ER -