Title :
A genetic approach for solving a hybrid flow shop scheduling problem
Author :
Mahdavi, I. ; Mojarad, M.S. ; Javadi, B. ; Tajdin, A.
Author_Institution :
Dept. of Ind. Eng., Mazandaran Univ. of Sci. & Technol., Babol, Iran
Abstract :
In this paper, we address the problem of scheduling n jobs in an s-stage hybrid flowshop with batch production at the last stage with the objective of minimizing a given criterion which consists of three parts: the total weighted earliness, the total weighted tardiness and the total weighted waiting time. The batch production under our study is referred to as serial batches. To solve the problem we proposed an efficient GA approach.
Keywords :
batch production systems; flow shop scheduling; genetic algorithms; batch production; genetic algorithm; hybrid flow shop scheduling; total weighted earliness; total weighted tardiness; total weighted waiting time; Costs; Genetic algorithms; Industrial engineering; Iron; Java; Job production systems; Job shop scheduling; Mass production; Processor scheduling; Steel; Batch production; Genetic Algorithm; hybrid flowshop;
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4738063
