DocumentCode
536155
Title
Study on Modeling of Job Shop Scheduling with Multi-resource Constraints
Author
Yaqin, Zhou ; Beizhi, Li ; Jianguo, Yang ; Qingxia, Wang
Author_Institution
Sch. of Mech. Eng., Donghua Univ., Shanghai, China
Volume
2
fYear
2010
fDate
23-24 Oct. 2010
Firstpage
313
Lastpage
317
Abstract
A model of job shop scheduling with multi-resource constraints is studied in this paper, which fully considers the dynamic condition, flexible process plan, non-cutting time of the process, the availability of resource(machine/fixture) and the batch size of job based on practical production condition. IDEF0 and object-oriented technology are used to build the complicated model. The functional model of the job shop scheduling system is built with IDEF0. Different object classes are defined with object-oriented technology. An association model of these classes is built, and the information model of the scheduling system is formed. Then an immune algorithm based on the biological immunity mechanism is used to solve this problem. Finally an illustrative example is tested on the software programmed. The results show that the model and the immune algorithm proposed can solve the complex job shop scheduling problem with multi-resource constraints effectively.
Keywords
artificial immune systems; batch processing (computers); biology; job shop scheduling; object-oriented methods; resource allocation; IDEFO technology; batch size; biological immunity mechanism; different object class; flexible process plan; information model; job shop scheduling; multiresource constraint; noncutting process time; object oriented technology; practical production condition; software program; Biological system modeling; Dynamic scheduling; Job shop scheduling; Object oriented modeling; Optimal scheduling; job shop scheduling; modeling; multi-resource constraints; object-oriented technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location
Sanya
Print_ISBN
978-1-4244-8432-4
Type
conf
DOI
10.1109/AICI.2010.188
Filename
5657093
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