Optimization of Scheduling Problem for Auto Mixed Model Assembly Line

Author

Sun Hu ; Xu Linwei

Author_Institution

Sch. of Logistics Eng., Wuhan Univ. of Technol., Wuhan

fYear

2009

fDate

23-24 May 2009

Firstpage

1

Lastpage

3

Abstract

The scheduling of the mixed model assembly line is an important problem in JIT production. The multistage scheduling model of a autovehicle mixed model assembly line is established. The goal of the model is to maintain the consumption of the parts of components at various working procedures in the production line uniform as much as possible. And the goal is solved by Lingo optimization software. The contrastive analysis indicates that the result obtained by this model surpasses many algorithms, such as goal follows algorithms, genetic algorithm, simulation annealing algorithm, and so on.

Keywords

assembling; automobile manufacture; genetic algorithms; just-in-time; scheduling; simulated annealing; JIT production; Lingo optimization software; autovehicle mixed model assembly line; genetic algorithm; goal follows algorithms; multistage scheduling model; simulation annealing algorithm; Algorithm design and analysis; Assembly; Genetic algorithms; Job shop scheduling; Logistics; Mathematical model; Optimal scheduling; Optimized production technology; Scheduling algorithm; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-3893-8

Electronic_ISBN

978-1-4244-3894-5

Type

conf

DOI

10.1109/IWISA.2009.5072993

Filename

5072993