Title :
Multi-agent modeling on scheduling of multi-variety and multi-process job-shop
Author :
Hu, Luo-ke ; Xiang, De-Hai ; Chen, Yong
Author_Institution :
Dept. of Ind. Eng., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
A new method for modeling and analyzing scheduling of multi-variety and multi-process job-shop based on multi-agent was proposed to effectively solve the dynamic and complex scheduling of multi-variety and multi-process job-shop problem. A physical and mathematic scheduling model of multi-variety and multi-process job-shop based on multi-agent was established. The analyzing scheduling system obtained the target function based on six kinds of agents such as planning agents, searching agents, negotiating agents, deciding agents, logistics agents and database agents. A system was designed to realize the analyzing scheduling of multi-variety and multi-process job-shop with Java programming language. The scheduling of the job-shop in a certain national automobile liner production enterprise was taken as an example. Results proved the validity and reliability of this multi-agent model and scheduling system.
Keywords :
Java; job shop scheduling; multi-agent systems; production engineering computing; Java programming language; database agents; deciding agents; logistics agents; mathematic scheduling model; multi-agent model reliability; multiprocess job-shop scheduling; multivariety job-shop scheduling; national automobile liner production enterprise; negotiating agents; physical scheduling model; planning agents; searching agents; job-shop; multi-agent modeling; multi-variety and multi-process; scheduling;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6483-8
DOI :
10.1109/ICIEEM.2010.5646556