DocumentCode :
2020745
Title :
Workshop Material Handling System Lean Planning Based on Genetic Algorithm
Author :
Xiaohong, Lu ; Zhenyuan, Jia ; Fuji, Wang ; Wei, Liu
Author_Institution :
Key Lab. for Precision & Non-traditional Machining Technol. of Minist. of Educ., Dalian Univ. of Technol., Dalian
Volume :
1
fYear :
2008
fDate :
17-18 Oct. 2008
Firstpage :
261
Lastpage :
264
Abstract :
There exists severe wastes in the material handling system of the heavy weight parts machining workshop, which mainly includes the waste of work areas´ latency time and the waste of the material handling device´s moving distance that caused by frequent circular and reverse routes. To eliminate the waste, a new heavy weight parts machining workshop material lean scheduling method is advanced. The initial universal response scheduling scheme of the heavy weight parts handling system based on genetic algorithm resolves the shortest response route problem when the material handling equipment responds to the requests from all the work areas at the beginning of a workday, which is being restricted to working procedures and the requests of as few as possible blank line. The simulation result shows that the designed new scheduling method is superior to the traditional ones evidently.
Keywords :
genetic algorithms; lean production; machining; materials handling equipment; scheduling; genetic algorithm; lean planning; machining workshop; material lean scheduling method; universal response scheduling scheme; workshop material handling system; genetic algoritm; heavy weight parts; lean production; material handling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
Type :
conf
DOI :
10.1109/ISCID.2008.80
Filename :
4725604
Link To Document :
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