Title :
Research on bottleneck resources focused flow path design
Author :
Liu, Qiong ; Zhou, Gang
Author_Institution :
State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
The current flow path design models might lead to complicated scheduling and unbalanced bottleneck resources in some cells. A bottleneck resources focused flow path model is proposed in this paper. The number of the ultimate cells and the average load of the bottleneck resources are considered in the model. The proposed model can dynamically form high efficient virtual production cells, balance the average load of the bottleneck resources in cells and help to reduce the complexity of scheduling later on. Genetic algorithm is designed to solve the proposed model. The validity of the model and algorithm are verified by corresponding case studies.
Keywords :
genetic algorithms; production control; scheduling; virtual manufacturing; bottleneck resources; cells; flow path design; genetic algorithm; virtual manufacturing cell; Algorithm design and analysis; Automatic control; Design automation; Genetic algorithms; Job shop scheduling; Manufacturing automation; Manufacturing processes; Optimized production technology; Production systems; Virtual manufacturing; Bottleneck resources; Flow path design; Genetic algorithm; Theory of Constraints; Virtual manufacturing cell;
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
DOI :
10.1109/ICCA.2009.5410502