Title :
Multi-objective Optimization Model and Algorithm for Hot Rolling Lot Planning
Author :
Ning, Shu-shi ; Wang, Wei
Author_Institution :
Res. Center of Inf. & Control, Dalian Univ. of Technol.
Abstract :
A multi-objective combinatorial optimization model is formulated for hot rolling lot planning problem in the production scheduling of iron and steel enterprises and a new modified multi-objective genetic local search algorithm is designed to solve the model. The model can solve the problem more precisely than previous methods. The algorithm can provide the schedulers with more than one solution in order to help schedulers make further decisions. Simulation experiment using production data shows that the model and algorithm are effective
Keywords :
combinatorial mathematics; genetic algorithms; hot rolling; lot sizing; production planning; search problems; steel industry; hot rolling lot planning; iron enterprises; multiobjective combinatorial optimization model; multiobjective genetic local search; production scheduling; steel enterprises; Algorithm design and analysis; Genetics; Iron; Production planning; Scheduling algorithm; Slabs; Steel; Strips; Traveling salesman problems; Vehicles; hot rolling lot plan; multi-objective combinatorial optimization; multi-objective genetic local search;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1714522
