DocumentCode :
2836891
Title :
A simulation-based performance comparison between multi-model assembly lines and assembly cells in a just-in-time environment
Author :
Gong, Jun ; Liu, Wenxin ; Liu, Xilin ; Cui, Tianxiang
Author_Institution :
Key Lab. of Integrated Autom. of Process Ind. of MOE, Northeastern Univ., Shenyang, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
1305
Lastpage :
1309
Abstract :
In many manufacturing plants assembly lines(AL) are converted to assembly cells(AC) for satisfying the increasing market demand for shorter product delivery lead times, customization, and just-in-time(JIT) manufacturing in particular. Previous research is focused to compare two kinds of systems with some goals, such as average batch flow time and utilization rates. This research compares a multi-model assembly line (MMAL) and AC with the usage rate of all parts fed into the assembly system as constant as possible in a (JIT) environment, which is called the level-scheduling problem. Firstly, the level scheduling models in each manufacturing system are proposed for computing the performance values. Then, simulation experiments are conducted to compare the performance of MMAL and AC configurations. Operating environments vary by the ratio of product types (models) to product batches. The results indicate that AC is better than MMAL with the larger ratio. The conclusions highlight guidelines for practicing managers on the most appropriate system under a given set of operating conditions.
Keywords :
assembling; batch production systems; cellular manufacturing; industrial plants; just-in-time; scheduling; JIT; assembly cells; just-in-time environment; level scheduling problem; manufacturing plants; mean usage parts; multimodel assembly lines; Assembly systems; Costs; Delay; Flow production systems; Guidelines; Job shop scheduling; Manufacturing automation; Manufacturing systems; Production systems; Throughput; Assembly Cells; Just-In-Time; Level Scheduling; Mean Usage Parts; Multi-model Assembly Lines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498178
Filename :
5498178
Link To Document :
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