DocumentCode :
2960528
Title :
A GA-based approach to optimize single-product flow-line configurations of RMS
Author :
Dou, Jianping ; Dai, Xianzhong ; Ma, Xudong ; Meng, Zhengda
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing
fYear :
2008
fDate :
5-8 Aug. 2008
Firstpage :
654
Lastpage :
659
Abstract :
Generating economical single-product flow-line configurations as candidates for a given demand period is a key optimization problem for reconfigurable manufacturing systems (RMS) at both initial design and reconfiguration stages. The optimization problem addresses the questions of selecting number of workstations, number and type of machines as well as assigned operations for each workstation. Given an operation precedence graph for a product and machine options for each operation, the objective is to minimize the capital costs of the configurations subject to constraints on space, initial investment, production functionality and capacity. A genetic algorithm (GA) based approach is presented to identify a set of economical configurations for the complicated constrained optimization problem. To overcome the complexity of search space, a novel procedure is introduced to guide GA to search within a refined feasible solution space which only includes the optimal configurations associated with feasible operation sequences. A case study illustrates the effectiveness and efficiency of the GA based approach.
Keywords :
genetic algorithms; manufacturing systems; production control; constrained optimization problem; economical configurations; feasible operation sequences; genetic algorithm; initial investment; machine options; operation precedence graph; production functionality; reconfigurable manufacturing system; search space; single-product flow-line configuration; Cost function; Design automation; Design optimization; Flexible manufacturing systems; Genetic algorithms; Manufacturing automation; Manufacturing systems; Mechatronics; Production; Workstations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4244-2631-7
Electronic_ISBN :
978-1-4244-2632-4
Type :
conf
DOI :
10.1109/ICMA.2008.4798834
Filename :
4798834
Link To Document :
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