Multiagent Based Dynamic Resource Control for Decentralized Multi-Project Using Combinatorial Exchange

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Abstract:

Decentralized multi-project environment is very common in modern times, and the dynamic resource control problem for this project environment has attracted more attention. Traditional optimization method for multi-project based on the centralization in decision making does not suit for solving this problem any more. In this paper, we analyze the distributed decision making process for the dynamic resource control in the decentralized multi-project environment, and present a multi-agent system model for this problem. Using combinatorial exchange based on market, we design a negotiation mechanism to cope with the time disruptions in the stage of project execution. Computational results show that the combinatorial exchange mechanism could solve the problem effectively and has a powerful controllability for the different weights of the multiple projects.

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Periodical:

Advanced Materials Research (Volumes 532-533)

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566-570

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Online since:

June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Confessore, S. Giordani and S. Rismondo. A market-based multi-agent system model for decentralized multi-project scheduling. Annals of Operations Research, 2007, 150: 115-135.

DOI: 10.1007/s10479-006-0158-9

Google Scholar

[2] J. Homberger. A (μ, λ)-coordination mechanism for agent-based multi-project scheduling. OR Spectrum, (2009).

Google Scholar

[3] T. Sandholm. eMediator: A next generation electronic commerce server. Computational Intelligence, 2002, 18(4): 656-676.

DOI: 10.1111/1467-8640.t01-1-00209

Google Scholar

[4] Y.H. Lee, S.R.T. Kumara and K. Chatterjee. Multiagent based dynamic resource scheduling for distributed multiple projects using a market mechanism. Journal of Intelligent Manufactuing, 2003, 14: 471-484.

Google Scholar

[5] S.H. Wu and D. Kotak. Agent-based collaborative project management system for distributed manufacturing. IEEE International Conference on Systems, Man and Cybernetics, 2003: 1223-1228.

DOI: 10.1109/icsmc.2003.1244578

Google Scholar

[6] J.S.K. Lau, G.Q. Huang, K.L. Mak and L. Liang. Agent-based modeling of supply chains for distributed scheduling. IEEE Trans on Systems, Man and Cybernetics, 2006, 36(5): 847-861.

DOI: 10.1109/tsmca.2005.854231

Google Scholar