DocumentCode :
2760125
Title :
Study on the Job Shop Fuzzy Dynamic Scheduling Based on Virtual Pre-scheduling
Author :
Li, Fuming ; Zhu, Yunlong ; Yin, Chaowan ; Song, Xiaoyu
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
7348
Lastpage :
7352
Abstract :
Dynamic job shop scheduling is a frequently occurring and highly relevant problem in practical fuzzy manufacture environment. Previous research suggested that periodic rescheduling improves classical measures of efficiency; however, this strategy had the undesirable effect of compromising stability and this lack of stability could render even the most efficient rescheduling strategy useless on the shop floor. In this research, the concept of the virtual scheduling pool was proposed and the heuristic virtual dynamic scheduling algorithm was also presented on the basis of this concept. This algorithm allows efficiency and stability to be balanced in a way that is appropriate for each situation. The contradistinctive simulations between the algorithm presented in this paper and the one based on the strategy of the temporal decomposition show that the algorithm presented is effective and feasible as well as the scheduling strategy of the former excels of the later in performance measures as a whole
Keywords :
dynamic scheduling; fuzzy set theory; job shop scheduling; fuzzy manufacture; heuristic virtual dynamic scheduling; job shop fuzzy dynamic scheduling; virtual prescheduling; Chaos; Dynamic scheduling; Educational institutions; Fuzzy control; Heuristic algorithms; Intelligent control; Job shop scheduling; Manufacturing automation; Scheduling algorithm; Stability; Job Shop; fuzzy dynamic scheduling; virtual pre-scheduling; virtual scheduling pool;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714513
Filename :
1714513
Link To Document :
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