Machine learning and deep learning based predictive quality in manufacturing: a systematic review

H Tercan, T Meisen - Journal of Intelligent Manufacturing, 2022 - Springer
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

[HTML][HTML] Application of automation for in-line quality inspection, a zero-defect manufacturing approach

V Azamfirei, F Psarommatis, Y Lagrosen - Journal of Manufacturing …, 2023 - Elsevier
Contemporary manufacturing must prioritise the sustainability of its manufacturing processes
and systems. Zero Defect Manufacturing (ZDM) focusses on minimising waste of any kind …

Top ten intelligent algorithms towards smart manufacturing

M Zhang, F Tao, Y Zuo, F Xiang, L Wang… - Journal of Manufacturing …, 2023 - Elsevier
Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …

Deep-learning-based visual data analytics for smart construction management

A Pal, SH Hsieh - Automation in Construction, 2021 - Elsevier
Visual data captured at construction sites is a rich source of information for the day-to-day
operation of construction projects. The development of deep-learning-based methods has …

Artificial intelligence and robotics for prefabricated and modular construction: A systematic literature review

M Pan, Y Yang, Z Zheng, W Pan - Journal of construction …, 2022 - ascelibrary.org
Prefabrication and modularization have attracted much attention in building construction,
and they are becoming increasingly important for the betterment of society. To fully benefit …

Computer vision applications in offsite construction

F Alsakka, S Assaf, I El-Chami, M Al-Hussein - Automation in Construction, 2023 - Elsevier
The field of computer vision has undergone rapid growth in recent years, yet the use of
computer vision in offsite construction remains an under-researched area of study. Given the …

A vision-based approach for automatic progress tracking of floor paneling in offsite construction facilities

P Martinez, B Barkokebas, F Hamzeh… - Automation in …, 2021 - Elsevier
Offsite construction is an approach focused on moving construction tasks from traditional
jobsites to manufacturing facilities. Improved productivity of construction tasks is paramount …

Deep learning for automatic vision-based recognition of industrial surface defects: a survey

M Prunella, RM Scardigno, D Buongiorno… - IEEE …, 2023 - ieeexplore.ieee.org
Automatic vision-based inspection systems have played a key role in product quality
assessment for decades through the segmentation, detection, and classification of defects …

The impact of industry 4.0 concepts and technologies on different phases of construction project lifecycle: a literature review

J Menegon, LCP da Silva Filho - Iranian Journal of Science and …, 2023 - Springer
With the advent of the fourth Industrial Revolution, sensors, machines, tools, and intelligent
systems became connected and can interact with each other along the production chain …

A cyber-physical system approach to zero-defect manufacturing in light-gauge steel frame assemblies

P Martinez, M Al-Hussein, R Ahmad - Procedia Computer Science, 2022 - Elsevier
Recent advances in manufacturing research have set the stage for the industrial integration
of zero-defect manufacturing strategies, aiming towards a more sustainable production …