DocumentCode :
1592528
Title :
A Dynamic Scheduling Algorithm for Complex Product with Batching Machines
Author :
Xie, Zhiqiang ; Wang, Yue ; Yu, Qinmglian ; Yang, Jing
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Volume :
2
fYear :
2010
Firstpage :
440
Lastpage :
444
Abstract :
At present, scheduling research with batching machines mainly solves scheduling problem without constraint among operations. There is no effective scheduling method for complex product with batching machines. To that end, a new algorithm is proposed to solve dynamic scheduling problem for complex product with batching machines. And the maximum lot-size of the batching machines is two. First, based on the feature of the structure of the processing tree which is provided with complex product, the algorithm adopts Priority strategy, Short-time strategy and Long-path strategy to schedule operations. Second, when the operations belong to batching machine, the algorithm adopts Long-path strategy, Critical-time waiting strategy and Short-time of precursor strategy to schedule operations. Theoretical analysis and examples show that the algorithm can solve dynamic scheduling problem for complex product with batching machines and the maximum lot-size of the batching machines is two. In addition, the complexity is not more than quadratic polynomial.
Keywords :
batch production systems; scheduling; batching machines; complex product; dynamic scheduling; long-path strategy; priority strategy; short-time strategy; Assembly; Computational modeling; Computer science; Computer simulation; Dynamic scheduling; Educational institutions; Heuristic algorithms; Processor scheduling; Production; Scheduling algorithm; complex products; critical-time; scheduling; structure of processing tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2010. ICCMS '10. Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4244-5642-0
Electronic_ISBN :
978-1-4244-5643-7
Type :
conf
DOI :
10.1109/ICCMS.2010.87
Filename :
5421129
Link To Document :
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