TY - JOUR
T1 - Automated Generation of Horizontal Precast Slab Stacking Plans
AU - Yi, Wen
AU - Wang, Huiwen
AU - Zhen, Lu
AU - Liu, Yannick
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 72201229 and 72361137006) and the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. 25211722). All authors contributed equally and are co-first author.
Publisher Copyright:
© 2023 American Society of Civil Engineers.
PY - 2023/12/1
Y1 - 2023/12/1
N2 - Prefabrication is a promising construction method that helps to improve overall productivity, reduce the environmental impact, and improve on-site safety and security. To accelerate the use of prefabrication, we investigate the problem of stacking precast slabs, one of the most common prefabricated components, through mathematical programming methodology. A mixed-integer nonlinear programming model is proposed that incorporates many practical factors, including stack stability, reshuffling work, and dunnage positions. The model aims to minimize the reshuffling of slabs and reduce the area occupied by stacks, which are two crucial objectives considered during slab stacking and transportation. Through extensive experiments, the proposed method is proven to average a 16.56% improvement in optimality compared with the commonly used heuristic stacking method and is thus considered an effective tool for generating stacking plans.
AB - Prefabrication is a promising construction method that helps to improve overall productivity, reduce the environmental impact, and improve on-site safety and security. To accelerate the use of prefabrication, we investigate the problem of stacking precast slabs, one of the most common prefabricated components, through mathematical programming methodology. A mixed-integer nonlinear programming model is proposed that incorporates many practical factors, including stack stability, reshuffling work, and dunnage positions. The model aims to minimize the reshuffling of slabs and reduce the area occupied by stacks, which are two crucial objectives considered during slab stacking and transportation. Through extensive experiments, the proposed method is proven to average a 16.56% improvement in optimality compared with the commonly used heuristic stacking method and is thus considered an effective tool for generating stacking plans.
KW - Construction technology
KW - Precast slab stacking
KW - Prefabrication
UR - http://www.scopus.com/inward/record.url?scp=85173611241&partnerID=8YFLogxK
U2 - 10.1061/JCEMD4.COENG-13424
DO - 10.1061/JCEMD4.COENG-13424
M3 - Journal article
AN - SCOPUS:85173611241
SN - 0733-9364
VL - 149
JO - Journal of Construction Engineering and Management
JF - Journal of Construction Engineering and Management
IS - 12
M1 - 04023121
ER -