Artificial intelligence for production, operations and logistics management in modular construction industry: A systematic literature review

Q Liu, Y Ma, L Chen, W Pedrycz, MJ Skibniewski… - Information …, 2024 - Elsevier
Artificial intelligence (AI) has garnered significant attention within the modular construction
industry, emerging as a prominent frontier development trend. A comprehensive and …

[HTML][HTML] Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction

L Farahzadi, M Kioumarsi - Journal of Cleaner Production, 2023 - Elsevier
The construction sector is one of the main contributors to carbon dioxide (CO 2) emission
and causes of global warming. CO 2 mitigation solutions are vital. New technologies can …

A hierarchical integration scheduling method for flexible job shop with green lot splitting

Q Gong, J Li, Z Jiang, Y Wang - Engineering Applications of Artificial …, 2024 - Elsevier
The integration of green scheduling and lot splitting scheduling is indispensable for
ensuring the coordinated optimization of economic and environmental benefits in flexible job …

Bio-recovery of municipal plastic waste management based on an integrated decision-making framework

MM Shahsavar, M Akrami, Z Kian, M Gheibi… - Journal of Industrial and …, 2022 - Elsevier
Recent years have seen a rapid development in industrialization and urbanization with a
huge growth in the population throughout the world. In this regard, an efficient and robust …

Precast production scheduling in off-site construction: Mainstream contents and optimization perspective

L Wang, Y Zhao, X Yin - Journal of Cleaner Production, 2023 - Elsevier
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 …

The prediction analysis of compressive strength and electrical resistivity of environmentally friendly concrete incorporating natural zeolite using artificial neural network

AA Shahmansouri, M Yazdani, M Hosseini… - … and Building Materials, 2022 - Elsevier
To decrease the environmental and climatic effects of rising concrete consumption, more
environmentally friendly concretes are required. One approach to achieve this goal is using …

An integrated queueing-inventory-routing problem in a green dual-channel supply chain considering pricing and delivery period: A case study of construction material …

S Abbaspour, A Aghsami, F Jolai… - Journal of …, 2022 - academic.oup.com
The current paper presented a stochastic integrated queueing-inventory-routing problem
into a green dual-channel supply chain considering an online retailer with a vehicle-routing …

[HTML][HTML] Design of a distribution network in a multi-product, multi-period green supply chain system under demand uncertainty

A Boskabadi, M Mirmozaffari, R Yazdani… - Sustainable operations …, 2022 - Elsevier
This paper proposes a novel fuzzy mathematical model for a distribution network design
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …

Develo** an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects

Z Gharib, M Yazdani, A Bozorgi-Amiri… - Journal of …, 2022 - academic.oup.com
Construction material delivery to post-disaster reconstruction projects is challenging
because of the resource and time limitations that follow a large-scale disaster. There is …

[HTML][HTML] Drivers towards adopting modular integrated construction for affordable sustainable housing: A total interpretive structural modelling (TISM) method

A Khan, R Yu, T Liu, H Guan, E Oh - Buildings, 2022 - mdpi.com
This study features the development of a framework to identify drivers towards increasing
adoption of modular integrated construction (MiC) methods for affordable sustainable …