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.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

7390

Lastpage

7394

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714522

Filename

1714522