A multi-objective hot-rolling scheduling problem in the compact strip production

DOI10.1016/j.apm.2019.04.006zbMath1481.90184OpenAlexW2940015176MaRDI QIDQ1984951

Ling Wang, Liang Gao, Quan-ke Pan

Publication date: 7 April 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2019.04.006

zbMATH Keywords

schedulingheuristicmulti-objective evolutionary algorithmcompact strip productionhot-rolling

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• MOEA/D

Cites Work

• A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process
• An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling
• Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling
• A multiple traveling salesman problem model for hot rolling scheduling in Shanghai Baoshan Iron \& Steel Complex
• The hot strip mill production scheduling problem: A tabu search approach
• A mathematical model and two-stage heuristic for hot rolling scheduling in compact strip production
• Stochastic project scheduling with hierarchical alternatives
• The hot-rolling batch scheduling method based on the prize collecting vehicle routing problem
• Integrated Charge Batching and Casting Width Selection at Baosteel
• Production scheduling optimization algorithm for the hot rolling processes
• A review of planning and scheduling systems and methods for integrated steel production

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