Modelling and a genetic algorithm solution for the slab stack shuffling problem when implementing steel rolling schedules

International Journal of Production Research

Volumn 40, Issue 7, 2002, Pages 1583-1595

  Tang, Lixin ^a   Liu, Jiyin ^b   Rong, Aiying ^b   Yang, Zihou ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS CASTING; GENETIC ALGORITHMS; HEATING FURNACES; INTEGER PROGRAMMING; ROLLING MILLS;

SLAB STACK SHUFFLING PROBLEM; STEEL ROLLING MILL;

STEELMAKING;

EID: 0037053021     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540110110118424     Document Type: Article

References (10)

1. A scheduling model for LTV steel's Cleveland works twin-strand continuous slab caster
2. How genetic algorithms work: A critical look at implicit parallelism
3. Optimal inter-process steel production scheduling
4. Discrete event sequencing as a traveling salesman problem
5. Primary production scheduling at steelmaking industries
6. A mathematical programming model for scheduling steelmaking-continuous casting production scheduling
7. A multiple traveling salesman problem (MTSP) model for hot rolling scheduling in Shanghai Baoshan Iron and Steel Complex
8. An effective heuristic algorithm to minimise stack shuffles in selecting steel slabs from the slab yard for heating and rolling
9. Steelmaking process scheduling using Lagrangian relaxation