A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process DOI Creative Commons
Kunkun Peng, Chunjiang Zhang, Weiming Shen

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7137 - 7137

Published: Nov. 6, 2024

The iron and steel industry is energy-intensive due to the large volume of produced its high-temperature high-weight characteristics, sensors such as application can be utilized collect production data support process control optimization. Steelmaking-refining-continuous casting (SRCC) a bottleneck in process. SRCC scheduling problems are worldwide NP-hard. not only important for enterprises enhance efficiency, but also play significant role saving energy reducing resource consumption. modeled hybrid flowshop with batch at last stage. In this paper, Discrete Brain Storm Optimization (DBSO) algorithm proposed handle problems. DBSO, population initialization cluster center replacement specially designed intensification abilities. Moreover, perturbation operator devised diversification Furthermore, new individual generation improve abilities simultaneously. Experimental results have demonstrated that DBSO an efficient method solving

Language: Английский

Twin transition in industrial organizations: Conceptualization, implementation framework, and research agenda DOI Creative Commons
Sabrina Tabares, Vinit Parida, Koteshwar Chirumalla

et al.

Technological Forecasting and Social Change, Journal Year: 2025, Volume and Issue: 213, P. 123995 - 123995

Published: Feb. 3, 2025

Language: Английский

Citations

0
Life Cycle Assessment of Tensile Specimens of Stainless Steel Obtained by Additive Manufacturing versus Conventional Manufacturing DOI

Germ醤 Omar Barrionuevo,

Juan Andrade-Garz髇,

Liliana Llatance-Guevara

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1), P. 10004 - 10004

Published: Jan. 1, 2025

Language: Английский

Citations

0
Robust real-time object detection and counting system for casting foundries DOI
Che-Wei Chou,

Yu-Teng Hsu

Applied Soft Computing, Journal Year: 2025, Volume and Issue: 176, P. 113155 - 113155

Published: April 23, 2025

Language: Английский

Citations

0
Sustainable Scheduling of TFT-LCD Cell Production: A Hybrid Dispatching Rule and Two-Phase Genetic Algorithm DOI

Hung-Kai Wang,

Che-Wei Chou, Chien-Han Wang

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: unknown, P. 109412 - 109412

Published: Sept. 1, 2024

Language: Английский

Citations

1
A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process DOI Creative Commons
Kunkun Peng, Chunjiang Zhang, Weiming Shen

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(22), P. 7137 - 7137

Published: Nov. 6, 2024

The iron and steel industry is energy-intensive due to the large volume of produced its high-temperature high-weight characteristics, sensors such as application can be utilized collect production data support process control optimization. Steelmaking-refining-continuous casting (SRCC) a bottleneck in process. SRCC scheduling problems are worldwide NP-hard. not only important for enterprises enhance efficiency, but also play significant role saving energy reducing resource consumption. modeled hybrid flowshop with batch at last stage. In this paper, Discrete Brain Storm Optimization (DBSO) algorithm proposed handle problems. DBSO, population initialization cluster center replacement specially designed intensification abilities. Moreover, perturbation operator devised diversification Furthermore, new individual generation improve abilities simultaneously. Experimental results have demonstrated that DBSO an efficient method solving

Language: Английский

Citations

0