[HTML][HTML] A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

A Villalonga, E Negri, G Biscardo, F Castano… - Annual Reviews in …, 2021 - Elsevier
Nowadays, one important challenge in cyber-physical production systems is updating
dynamic production schedules through an automated decision-making performed while the …

A critical review of planning and scheduling in steel-making and continuous casting in the steel industry

M Lee, K Moon, K Lee, J Hong… - Journal of the Operational …, 2024 - Taylor & Francis
Steel-making and continuous casting (SCC) processes are considered the main bottlenecks
in the steel industry. We consider planning and scheduling problems in SCC processes and …

[HTML][HTML] How key-enabling technologies' regimes influence sociotechnical transitions: The impact of artificial intelligence on decarbonization in the steel industry

N John, JH Wesseling, E Worrell, M Hekkert - Journal of Cleaner …, 2022 - Elsevier
Abstract Key Enabling Technologies (KETs) are pervasive groups of technologies expected
to enable innovation. They have been promoted as technologies with tremendous potential …

An improved multi-objective firefly algorithm for energy-efficient hybrid flowshop rescheduling problem

Z Wang, L Shen, X Li, L Gao - Journal of Cleaner Production, 2023 - Elsevier
Hybrid flowshop scheduling problem is a hot research topic, and is widely applied for
production shop or line in chemical industry, metallurgical industry, semiconductor …

An improved artificial bee colony algorithm for real-world hybrid flowshop rescheduling in steelmaking-refining-continuous casting process

K Peng, QK Pan, L Gao, B Zhang, X Pang - Computers & Industrial …, 2018 - Elsevier
Realistic production systems usually encounter various of unexpected disruptions, which
may invalidate the original schedules, and thus rescheduling becomes essential. This paper …

Energy-efficient steelmaking-continuous casting scheduling problem with temperature constraints and its solution using a multi-objective hybrid genetic algorithm with …

Z Xu, Z Zheng, X Gao - Applied Soft Computing, 2020 - Elsevier
With the increasing energy price and the urgent demand of manufacturing enterprises for
energy conservation, energy-efficient scheduling (EES) technology has been widely …

A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots

B Zhang, Q Pan, L Meng, X Zhang… - International Journal of …, 2023 - Taylor & Francis
Lot streaming is the most widely used technique to facilitate the overlap of successive
operations. Considering the consistent sublots and machine breakdown, this study …

Towards sustainable production with resource efficiency: An empirical study of steelmaking continuous casting scheduling

TY Hong, CA Chen, CF Chien - Resources, Conservation and Recycling, 2024 - Elsevier
Traditional heavy industries that are energy-intensive have much potential for energy saving
and carbon emission reduction. Focusing on the production scheduling of steelmaking …

Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants

J Long, Z Zheng, X Gao, PM Pardalos - Applied Soft Computing, 2018 - Elsevier
This paper studies a new realistic hybrid flow shop (HFS) scheduling problem with stage
skipping and adjustable processing time in steelmaking-continuous casting (SCC) …

Operation optimization of the steel manufacturing process: A brief review

Z Xu, Z Zheng, X Gao - International Journal of Minerals, Metallurgy and …, 2021 - Springer
Against the realistic background of excess production capacity, product structure imbalance,
and high material and energy consumption in steel enterprises, the implementation of …