Technical Papers
Sep 22, 2023

Automated Generation of Horizontal Precast Slab Stacking Plans

Publication: Journal of Construction Engineering and Management
Volume 149, Issue 12

Abstract

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.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

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.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 149Issue 12December 2023

History

Received: Dec 6, 2022
Accepted: Jul 11, 2023
Published online: Sep 22, 2023
Published in print: Dec 1, 2023
Discussion open until: Feb 22, 2024

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Assistant Professor, Dept. of Building and Real Estate, The Hong Kong Polytechnic Univ., Hung Hom, Hong Kong SAR 999077, China. Email: [email protected]
Ph.D. Candidate, Dept. of Building and Real Estate, The Hong Kong Polytechnic Univ., Hung Hom, Hong Kong SAR 999077, China (corresponding author). ORCID: https://orcid.org/0000-0002-1038-4349. Email: [email protected]
Professor, School of Management, Shanghai Univ., Shang Da Rd. 99, Shanghai 200444, China. Email: [email protected]
Yannick Liu [email protected]
Assistant Professor, Faculty of Business, The Hong Kong Polytechnic Univ., Hung Hom, Hong Kong SAR 999077, China. Email: [email protected]

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