Abstract
Java Agent DEvelopment framework (JADE™) is a leading platform for the development of agent-based systems that are complaint with Foundation for Intelligent Physical Agents specifications. Due to the complexity, concurrency, and dynamic nature of manufacturing, it has been an important application of agent-based systems. Application of multi-agent concept in simulation leads to the agent-based simulation. Modeling the elements of manufacturing system (such as part, machine, and AGV) in reactive agent architecture is a better way of modeling for achieving discrete-event agent-based simulation. This paper focuses on modeling of different agents in manufacturing domain on JADE reactive architecture. Modeling of different agents on a shop floor in JADE reactive architecture led to the development of a simulator known as an agent-based shop floor simulator (ABSFSim). In the modeling process, different agents in the manufacturing domain have been identified by physical and functional decomposition. Internal architecture of individual agents is finalized based on their behavioral requirements. Modeling of the agents is an important development step of ABSFSim. A randomly generated sample manufacturing system has been used for testing and demonstration of ABSFSim. The modeling details provided in this paper are useful for development of agent-based systems in manufacturing domain as well as other discrete systems.
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References
Luck M, McBurney P, Preist C (2003) Agent technology: enabling next generation computing—a roadmap for agent based computing. AgentLink. http://www.agentlink.org/admin/docs/2003/2003-48.pdf. Accessed 02 Nov 2009
Wooldridge M (2001) An introduction to multiagent systems. Wiley, London
Weiss G (ed) (1999) Multiagent systems—a modern approach to distributed artificial intelligence. The MIT Press, Massachusetts
Brooks RA (1991a) Intelligence without reason. Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI-91), Sydney, Australia, pp 569–595
Brooks RA (1991b) Intelligence without representation. Artif Intell 47:139–159
Monostori L, Váncza J, Kumara SRT (2006) Agent-based systems for manufacturing. Ann CIRP 55:697–720
Bordini RH, Dastani M, Dix J, Seghrouchni AEF (eds) (2005) Multi-agent programming languages, platforms and applications. Springer Science + Business Media, Inc., New York
FIPA (2009) Foundation for intelligent physical agents. http://www.fipa.org. Accessed 02 Nov 2009
JADE (2009) Java Agent Development framework. http://jade.tilab.com. Accessed 02 Nov 2009
Komma VR (2009) Agent-based simulation of distributed automated guided vehicle systems. Ph.D. Thesis, Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Wooldridge M, Jennings NR (1995) Intelligent agents: theory and practice. Knowl Eng Rev 10:115–152
Müller J P, Wooldridge M, Jennings N R (eds) (1997) Intelligent agents III. Lecture Notes on Artificial Intelligence (LNAI), Vol. 1193, Springer, Berlin
Parunak HVD (1993) Autonomous agent architectures: a non-technical introduction. Report. Industrial Technology Institute, Ann Arbor, Michigan, USA
Odell J (2002) Objects and agents compared. J Object Technol 1:41–53
Odell J, Parunak HVD, Bauer B (2001) Representing agent interaction protocols in UML. In: Ciancarini P, Wooldridge M (eds) Agent-oriented software engineering. Springer-Verlag, Berlin, pp 121–140
Jennings NR, Wooldridge M (eds) (1998) Agent technology: foundations, applications and markets. Springer, Berlin
Luck M, McBurney P, Shehory O, Willmott S (2005) Agent technology: computing as interaction—a roadmap for agent based computing. Agentlink. http://www.agentlink.org/roadmap/al3rm.pdf. Accessed 02 Nov 2009. ISBN: 0854328459
Shen W, Norrie DH (1999) Agent-based systems for intelligent manufacturing: a state-of-the-art survey. Knowl Inf Syst Int J 1:129–156
Shen W, Hao Q, Yoon HJ, Norrie DH (2006) Applications of agent-based systems in intelligent manufacturing: an updated review. Adv Eng Inform 20:415–431
Vrba P (2003) MAST: manufacturing agent simulation tool. Proceedings of IEEE Conference on Emerging Technologies and Factory Automation, September 2003, Lisbon, Portugal, pp. 282–287
Komma VR, Jain PK, Mehta NK (2007) Agent-based simulation of a shop floor controller using hybrid communication protocols. Int J Simul Model 6:206–217
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Komma, V.R., Jain, P.K. & Mehta, N.K. An approach for agent modeling in manufacturing on JADE™ reactive architecture. Int J Adv Manuf Technol 52, 1079–1090 (2011). https://doi.org/10.1007/s00170-010-2784-2
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DOI: https://doi.org/10.1007/s00170-010-2784-2