DocumentCode
1862574
Title
Intelligent-agent based approach for assembly automation
Author
Merdan, Munir ; Koppensteiner, Gottfried ; Zoitl, Alois ; Hegny, Ingo
Author_Institution
Autom. & Control Inst. (ACIN), Vienna Univ. of Technol., Vienna
fYear
2008
fDate
25-27 June 2008
Firstpage
13
Lastpage
19
Abstract
The assembly process used by most manufacturers today is based on disconnected ordering, scheduling as well as execution processes, and lacks on agility needed for enterprise-wide integration. This paper presents a knowledge-based multi-agent framework to enhance the agility in assembly systems. Agents with specialized expertise and high level of autonomy cooperate together to accomplish individual, as well as system objectives. In order to increase system flexibility and adaptability negotiation mechanisms for task allocation have been applied. An ontology is used to support ldquounderstandingrdquo between agents during the communication, as well as to define the domain entities and relations between them. This research demonstrates the feasibility of our approach and its efficiency in dynamic situations.
Keywords
assembling; knowledge based systems; multi-agent systems; ontologies (artificial intelligence); resource allocation; scheduling; assembly automation; disconnected ordering; enterprise-wide integration; intelligent agent; knowledge-based multi-agent framework; negotiation mechanism; ontology; scheduling; system adaptability; system flexibility; task allocation; Assembly systems; Automatic control; Control systems; Costs; Job shop scheduling; Manufacturing automation; Manufacturing industries; Manufacturing processes; Ontologies; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing in Industrial Applications, 2008. SMCia '08. IEEE Conference on
Conference_Location
Muroran
Print_ISBN
978-1-4244-3782-5
Electronic_ISBN
978-4-9904-2590-6
Type
conf
DOI
10.1109/SMCIA.2008.5045928
Filename
5045928
Link To Document