Intelligent Scheduling Algorithm and Application in Modernizing Manufacturing Services

Author

Chen, Yaojun ; Zhang, Liang-Jie ; Wang, Qian

Author_Institution

Kingdee Res., Kingdee Int. Software Group Co., Ltd., Shenzhen, China

fYear

2011

fDate

4-9 July 2011

Firstpage

568

Lastpage

575

Abstract

Abstract-An intelligent scheduling algorithm based on multi-agents and genetic algorithm is proposed to overcome flexible job-shop automation and optimization problems in manufacturing industry. The algorithm is made of a management-agent, a scheduling-agent and machine-agents.Static scheduling is realized by a customized genetic algorithm,while dynamic scheduling is realized by these coordinative agents. Several scenarios are used to illustrate that the proposed system is practical, efficient and advanced.

Keywords

genetic algorithms; job shop scheduling; manufacturing systems; flexible job-shop automation; genetic algorithm; intelligent scheduling algorithm; manufacturing industry; manufacturing services; multiagents algorithm; optimization problems; scheduling-agent; static scheduling; Biological cells; Dynamic scheduling; Genetic algorithms; Job shop scheduling; Manufacturing; Scheduling algorithm; Keywords-multi-agents; flexible job-shop; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Services Computing (SCC), 2011 IEEE International Conference on

Conference_Location

Washington, DC

Print_ISBN

978-1-4577-0863-3

Electronic_ISBN

978-0-7695-4462-5

Type

conf

DOI

10.1109/SCC.2011.123

Filename

6009308