DocumentCode :
2118429
Title :
The Research of Hybrid Scheduling Model in AS/RS Based on Multi-agent System and Petri Net
Author :
Wei, Yang ; Xiaohong, Qiu ; Haigang, Wang
Author_Institution :
Mech. & Electr. Eng. Coll., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
Volume :
2
fYear :
2010
fDate :
7-8 Aug. 2010
Firstpage :
120
Lastpage :
124
Abstract :
This paper studies the problem of loading/unloading scheduling in AR/SR (Automated Storage/Retrieval System) and establishes a hybrid scheduling model which takes advantage of pure centralized and distributed structure. The scheduling model based on multi-Agent and Petri Net is proposed, and the structure of the physical layer, control layer and management layer of the model is detailed described. The distributed sub Agent in the bottom level uses AHP (analytic hierarchy process) to assign weights to the scheduling rules and also uses Genetic Algorithm and Petri Net to optimize the rules. The centralized main Agent in the upper level mainly uses improved Hungarian Algorithm to assign tasks. Loading/unloading scheduling in AR/SR is controlled by making use of collaborative communication of the Agents. JADE is used as the development platform to resolve tasks in/output decision problems of AS/RS. It shows that the hybrid scheduling model is effective according to the simulation example.
Keywords :
Petri nets; genetic algorithms; information retrieval; multi-agent systems; scheduling; AHP; Petri net; analytic hierarchy process; automated storage; genetic algorithm; hybrid scheduling model research; multiagent system; retrieval system; unloading scheduling; Buffer storage; Indexes; Job shop scheduling; Load modeling; Loading; Physical layer; AS/RS; Petri Net; multi-Agent system; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
Type :
conf
DOI :
10.1109/ISME.2010.115
Filename :
5573864
Link To Document :
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