- Research Article
- 10.1016/j.rineng.2026.110226
Optimisation of resource efficiency in steelmaking: An innovative scheduling approach for scrap steel and oxygen utilisation
- Jun 01, 2026
- Results in Engineering
- Kai Zhang + 4 more +4
• This study addresses resource-related scheduling challenges in steel manufacturing. • Fluctuations in oxygen consumption and scrap steel usage are the main focus. • An improved multi-objective algorithm is proposed to solve the problem. • Experiments on actual production data produce feasible and effective schedules. • Oxygen fluctuation is reduced by 19.8% and scrap additions are increased by 3.1%. In steel plants, oxygen and scrap steel are both indispensable resources in the steelmaking process. The consumption of oxygen and the addition of scrap steel are critical for ensuring production stability and achieving energy efficiency and emission reduction goals. Given the sequential and stage-based nature of steelmaking operations, this study models the scheduling process as a hybrid flow shop problem considering oxygen consumption and scrap additions (HFSP-OCSA). To support decision-making under varying production conditions and conflicting objectives, an improved multi-objective genetic algorithm (IMGA) is designed to solve HFSP-OCSA and provide a diverse set of production schemes. The IMGA integrates a problem-specific heuristic decoding method for determining the sequence and timing of steel charges across multiple stages. It also adopts an enhanced diversity preservation strategy based on penalised angular distance to improve the convergence and distribution of the Pareto front. An adaptive dual-population neighbourhood search mechanism is incorporated to further refine solution quality. The algorithm is evaluated using real data from an industrial steel plant in China. Comprehensive experimental results show that the proposed IMGA achieves up to a 19.8% reduction in oxygen consumption fluctuations, 3.1% increase in scrap additions, and a reduction of over 3,300 t in CO₂ emissions, along with direct economic savings of approximately $8.8K under the market conditions in August 2025. These results confirm the effectiveness of IMGA in improving scheduling efficiency and resource utilisation in converter steelmaking.
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