Computing and Communication Quality of Service for Distributed Time-Scaled Simulation in Heterarchical Manufacturing Control

A. Sharma and V. Prabhu

References

  1. [1] N.A. Duffe & V.V. Prabhu, Real-time distributed schedulingof heterarchical manufacturing systems, Journal of Manufac-turing Systems, 13(2), 1994, 94–107.
  2. [2] J.J. Solberg & R.L. Kashyap, ERC research in intelligentmanufacturing systems, Proc. IEEE, 81(1), 1993, 25–41. doi:10.1109/JPROC.1993.752024
  3. [3] H.V.D. Parunak, Applications of distributed artificial intelli-gence in industry, in G.M.P. O’Hare & N.R. Jennings (Eds.),Foundations of distributed artificial intelligence (New York:Wiley Inter-Science, 1994).
  4. [4] D. Veeramani, K.-J. Wang, & J. Rojas, Modeling and simu-lation of auction-based shop-floor control using parallel com-puting, IIE Trans., 30(9), 1998, 773–783. doi:10.1023/A:1007539914862
  5. [5] P. Dewan & S. Joshi, Distributed control of manufacturingsystems with due date constraints, Proc. 6th Industrial Engi-neering Research Conf., Banff, Canada, 1998.
  6. [6] A.D. Baker, A survey of factory control algorithms that canbe implemented in a multi-agent heterarchy: Dispatching,scheduling, and pull, Journal of Manufacturing Systems, 17(4),1998, 297–230.
  7. [7] P. Rogers & R.J. Gordon, Simulation for real-time decisionmaking in manufacturing systems, in G.W. Evans, M. Mol-laghemi, E.C. Rusell, & W.E. Biles (Eds.), Proc. 1993 WinterSimulation Conf., Los Angeles, CA, 1993, 866–874. doi:10.1109/WSC.1993.718331
  8. [8] C.M. Harmonosky, Implementation issues using simulation forreal-time scheduling, control and monitoring, in O. Balci, R.P.Sadowski, & R.E. Nance (Eds.), Proc. 1990 Winter SimulationConf., New Orleans, LA, 1990, 595–598. doi:10.1109/WSC.1990.129582
  9. [9] S.B. Joshi & J.S. Smith, Intelligent control of manufacturingsystems, in A. Kusiak (Ed.), Intelligent design and manufac-turing (New York: John Wiley & Sons, 1992).
  10. [10] M.E. Johnson, L. Thompson, & R. Fontaine, An integratedsimulation and shop-floor control system, Manufacturing Re-view, 5, 1992, 158–165.
  11. [11] V.V. Prabhu & N.A. Duffe, Distributed simulation approachfor enabling cooperation between entities in heterarchical man-ufacturing systems, SPIE Proc., 2596, 1995, 234–242. doi:10.1117/12.227223
  12. [12] M.J. Moreno, R.A. Wysk, J. Hong, & V.V. Prabhu, A hy-brid shop floor control system for food manufacturing, IIETransactions, 33(3), 2001, 193–202. doi:10.1023/A:1007647331282
  13. [13] J. Hong, V.V. Prabhu, & R.A. Wysk, Real-time batch sequenc-ing using arrival time control algorithm, International Journalof Production Research, 39(17), November 2001, 3863–3880. doi:10.1080/00207540110071778
  14. [14] D.A. Patterson, D.E. Culler, & T.E. Anderson, A case for NOW(Network of workstations), Proc. 14th Annual ACM Symp. onPrinciples of Distributed Computing, Ottawa, Ontario, CA,1995, 17.
  15. [15] S. Nagar, A. Banerjee, A. Sivasubramaniam, & C.R. Das, Acloser look at coscheduling approaches for a network of work-stations, Proc. 11 Annual ACM Symp. on Parallel Algorithmsand Architectures, Saint-Malo, France, 1999, 96–105. doi:10.1145/305619.305630
  16. [16] M. Calzarossa & G. Serazzi, Workload characterization: Asurvey, Proc. IEEE, 81(8), 1993, 1136–1150. doi:10.1109/5.236191
  17. [17] V.V. Prabhu, S. Cho, & P. Koomsap, High performance com-puting and communication for real-time feedback in distributedmanufacturing control systems, CIRP Journal of Manufactur-ing Systems, 29(1), 1999, 79–83.
  18. [18] V.V. Prabhu, Distributed real-time manufacturing systemsscheduling, master’s thesis, University of Wisconsin-Madison,Madison, WI, 1991.
  19. [19] D. Jefferson & H. Sowizral, Fast concurrent simulation usingthe time warp mechanism, Part I: Local control, Rand NoteN-1906AF, The Rand Corporation, Santa Monica, CA, 1982.
  20. [20] R. Righter & J.C. Walrand, Distributed simulation of discreteevent systems, Proc. IEEE, 77(1), 1989, 99–113. doi:10.1109/5.21073
  21. [21] R.M. Fujimoto, Parallel discrete event simulation, Comm.ACM, 33(10), 1990, 31–53. doi:10.1145/84537.84545
  22. [22] R.M. Fujimoto, Parallel discrete event simulation: Will the fieldsurvive? ORSA Journal on Computing, 5(3), 1993, 213–230.
  23. [23] V.V. Prabhu, Stability and fault adaptation in distributedcontrol of heterarchical manufacturing job shops, IEEE Trans.on Robotics and Automation, 19(1), 2003, 142–147. doi:10.1109/TRA.2002.807552
  24. [24] T.E. Morton & D.W. Pentico, Heuristic scheduling systems(with applications to production systems and project manage-ment) (New York: John Wiley & Sons, 1993).
  25. [25] D.C. Montgomery, Design and analysis of experiments, 4th ed.(New York: John Wiley, 1997).

Important Links:

Go Back