DocumentCode
3300554
Title
Scheduling Hybrid Flow Shop Containing Multi-Functional Machines
Author
Hu, Yanhai ; Ma, Dengzhe ; Ye, Feifan
Author_Institution
Ningbo Univ.
Volume
1
fYear
2006
fDate
Nov. 2006
Firstpage
425
Lastpage
428
Abstract
Multi-functional machine (MFM) is often used in the current manufacturing system. In traditional way, the MFM was treated as single-functional machine (SFM), so the functions of the MFM might be wasted. When the multiple functions of an MFM are utilized to process jobs at several stages in a flow shop, the hybrid flow shop scheduling problem under the environment of MFM (HFSP-MEM) will be induced. A modified genetic algorithm (MGA), which is able to solve the HFSP-MEM directly, is proposed. A case that there is the same processing time of jobs on parallel machines for HFSP-MEM is studied. The criterion for the scheduling is to minimize the makespan of jobs. The MGA is applied to 11 instances from medium scale to large scale. The results show that the makespan will be shortened, if the multiple functions of MFMs are utilized
Keywords
flow shop scheduling; genetic algorithms; single machine scheduling; genetic algorithm; hybrid flow shop scheduling; multifunctional machines; parallel machine; single-functional machine; Computer integrated manufacturing; Genetic algorithms; Job shop scheduling; Large-scale systems; Magnetic force microscopy; Manufacturing systems; Milling machines; Parallel machines; Turing machines; Turning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2006 International Conference on
Conference_Location
Guangzhou
Print_ISBN
1-4244-0605-6
Electronic_ISBN
1-4244-0605-6
Type
conf
DOI
10.1109/ICCIAS.2006.294168
Filename
4072121
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