Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review
S Wang, P **a, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …
application of concrete and its components are the most critical. Particularly, the production …
[HTML][HTML] Production scheduling in modular construction: Metaheuristics and future directions
Modular construction (MC) is an increasingly important construction technique. However, it
also requires the use of sophisticated scheduling algorithms. A comprehensive literature …
also requires the use of sophisticated scheduling algorithms. A comprehensive literature …
A deep reinforcement learning based algorithm for a distributed precast concrete production scheduling
Y Du, J Li - International Journal of Production Economics, 2024 - Elsevier
The environmental-friendly production demands higher manufacturing efficiency and lower
energy cost; therefore, time-of-use electricity price constraint and distributed production have …
energy cost; therefore, time-of-use electricity price constraint and distributed production have …
Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review
Artificial intelligence (AI) has garnered significant attention within the modular construction
industry, emerging as a prominent frontier development trend. A comprehensive and …
industry, emerging as a prominent frontier development trend. A comprehensive and …
[HTML][HTML] Knowledge management for off-site construction
Off-site construction (OSC) is expected to boost productivity, shorten construction time, and
reduce labour and material wastage. Despite these benefits, most OSC projects have not …
reduce labour and material wastage. Despite these benefits, most OSC projects have not …
Precast production scheduling in off-site construction: Mainstream contents and optimization perspective
Precast production scheduling (PPS) is a key factor that enables efficient off-site construction
(OSC) and has received considerable attention from researchers. However, there is still a …
(OSC) and has received considerable attention from researchers. However, there is still a …
Flowshop scheduling optimization for multi-shift precast production with on-time delivery
With the increasing popularity of prefabricated construction around the world, precast plants
face increasingly complex production scenarios. Because it is important for precast …
face increasingly complex production scenarios. Because it is important for precast …
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Abstract Machine scheduling aims to optimally assign jobs to a single or a group of
machines while meeting manufacturing rules as well as job specifications. Optimizing the …
machines while meeting manufacturing rules as well as job specifications. Optimizing the …
[HTML][HTML] Comprehensive Utilization of Industry By-Products in Precast Concrete: A Critical Review from the Perspective of Physicochemical Characteristics of Solid …
Y Shao, Z Zhang, X Liu, L Zhu, C Han, S Li, W Du - Materials, 2024 - mdpi.com
Solid wastes have been widely used as a cement substitute in precast concrete. On the one
hand, solid waste can effectively ameliorate a series of problems caused by steam curing …
hand, solid waste can effectively ameliorate a series of problems caused by steam curing …
Identifying critical risk factors and management activities for effective offsite construction projects during construction phase
Off-site construction (OSC) has been drawing attention as a solution to the internal and
external problems that the construction industry is facing. This study identified and analyzed …
external problems that the construction industry is facing. This study identified and analyzed …