International Journal of Information Technology & Computer Science ( IJITCS )
An investigation in traditional approach to manufacturing system control based on centralized or hierarchical control structures presents good characteristics in terms of productivity due to its inherent optimization capabilities. However, it does not possess the dynamic and adaptive response to change which is currently the key to competitiveness in global market. Agent-based manufacturing system control fits into this gap left by the traditional approach and it is potentially beneficial due to the need for automated decision-making, reaction to disturbances and the parallel computation. This paper reviews the negotiation protocol in agent based manufacturing systems control and also explore negotiation mechanisms. While there are other interesting artificial intelligence techniques that have already been employed in manufacturing system controls for more than two decades, however, recent developments in multi-agent technique will bring new and interesting possibilities.
:Manufacturing system control; Multi-agent system; Negotiation protocol; generative functions; reactive functions
- J. L. Martinez Lastra and A. W. Colombo, “Engineering framework for agent-based manufacturing control,” Engineering Applications of Artificial Intelligence, vol. 19, no. 6, pp. 625–640, Sep. 2006.
- M. J. W. N.R. Jennings, “Applications of intelligent agents,” Agent Technology: Foundations, Applications, and Markets, Springer, pp. 3–28, 1998.
- V. M. Evershein, W., and R. Neitsel, “Intelligent Manufacturing Systems 11,” Expert Systems For Flexible Manufacturing. Elsevier Science Publishing Company lnc., New York, NY, 1988.
- A. V. Krothapalli, N. K. C., Deshmukh, “Design of Negotiation Protocols for Multi-Agent Manufacturing Systems,” Int. J. of Production Research, vol. 37, no. 7, pp. 1601–1624, 1999.
- G. D. Putnik, P. Gonçalves, a. Sluga, and M. M. Cunha, “Virtual environments for dynamically reconfigurable Concurrent/Collaborative Engineering ‘virtual’ teams,” CIRP Annals - Manufacturing Technology, vol. 57, no. 1, pp. 171–174, Jan. 2008.
- C. H. Dornfeld, D., Wright, P.K., Wang, F.C., Sheng, P., Stori, J., Sundararajan, V., Krishnan, N., Chu, “Multi-Agent Process Planning for a Networked Machine Service,” Technical Paper – Society of Manufacturing Engineers, pp. MS99–175, 1999.
- V. C. Teredesai, T., Ramesh, “Multi-Agent Mixed Initiative System for Real-Time Scheduling,” Proceedings of the IEEE Int. Conf. on Systems, Man and Cybernetics 1, pp. 439–444, 1998.
- C. Sousa, P., Ramos, “A Dynamic Scheduling Holon for Manufacturing Orders,” J. of Intelligent Manufacturing, vol. 9, pp. 107–112.
- Z. Lim, M. K., Zhang, “An Integrated Agent-Based Approach for Responsive Control of Manufacturing Resources,” The 27th Int. Conf. on Computers and Industrial Engineering, p. 55.
- J. Lin, Y. J., Solberg, “Integrated Shop Floor Control Using Autonomous Agents,” IIE Transactions, vol. 24, no. 3, pp. 57–71, 1992.
- N. K. Vedel-Smith and T. A. Lenau, “Casting traceability with direct part marking using reconfigurable pin-type tooling based on paraffin–graphite actuators,” Journal of Manufacturing Systems, vol. 31, no. 2, pp. 113–120, Apr. 2012.
- N. R. Faratin, P., Sierra, C., Jennings, “Negotiation decision functions for autonomous agents,” Robotics and Autonomous Systems, vol. 24, pp. 159 – 182, 1998.
- T. Meccanica, “Production planning in reconfigurable enterprises and reconfigurable production systems 1,” vol. 1, no. 2, pp. 2–5.