DocumentCode
3540606
Title
Self-organization for scheduling in agile manufacturing
Author
Madureira, Ana ; Pereira, Ivo ; Sousa, Nelson
Author_Institution
Sch. of Eng., Comput. Sci. Dept., Univ. of Porto, Porto, Portugal
fYear
2011
fDate
1-2 Sept. 2011
Firstpage
38
Lastpage
43
Abstract
Agility refers to the manufacturing system ability to rapidly adapt to market and environmental changes in efficient and cost-effective ways. This paper addresses the development of self-organization methods to enhance the operations of a scheduling system, by integrating scheduling system, configuration and optimization into a single autonomic process requiring minimal manual intervention to increase productivity and effectiveness while minimizing complexity for users. We intend to conceptualize real manufacturing systems as interacting autonomous entities in order to build future Decision Support Systems (DSS) for Scheduling in agile manufacturing environments.
Keywords
agile manufacturing; decision support systems; learning (artificial intelligence); multi-agent systems; scheduling; agile manufacturing scheduling; autonomic process; decision support system; machine learning; manufacturing system; multiagent system; self-organization method; swarm intelligence; Dynamic scheduling; Job shop scheduling; Optimization; Processor scheduling; Schedules; Agile Manufacturing; Machine Learning Techniques; Multi-Agent System; Self-configuration; Swarm Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Cybernetic Intelligent Systems (CIS), 2011 IEEE 10th International Conference on
Conference_Location
London
Print_ISBN
978-1-4673-0687-4
Type
conf
DOI
10.1109/CIS.2011.6169132
Filename
6169132
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