Estimating performance indexes of a baggage handling system using metamodels

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2009, Pages

  Khosravi, Abbas ^a   Nahavandi, Saeid ^a   Creighton, Doug ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BAGGAGE HANDLING SYSTEM; COMPLEX SYSTEMS; DISCRETE-EVENT SIMULATION MODEL; LOGGING DATA; META MODEL; PERFORMANCE INDICES; PERFORMANCE MEASURE; REAL TIME DECISIONS; SIMULATION MODEL; TRAVEL TIME; UNDERLYING SYSTEMS;

BACKPROPAGATION; BAGGAGE HANDLING; DISCRETE EVENT SIMULATION; MATERIALS HANDLING EQUIPMENT; NEURAL NETWORKS; STOCHASTIC MODELS;

SIMULATORS;

EID: 67650314329     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2009.4939626     Document Type: Conference Paper

References (16)

1. IATA's Passenger Forecast 2007-2011, www.iata.org
2. T. Chen, "A Fuzzy Back Propagation Network For Output Time Prediction In A Wafer Fab", Journal of Applied Soft Computing 2/3F, 2003, pp. 211-222.
3. V. T. Le, D. Creighton, S. Nahavandi, "Simulation-based Input Loading Condition Optimisation of Airport Baggage Handling Systems", Proceedings of the IEEE Intelligent Transportation Systems Conference, USA, 2007, pp. 574-579.
4. M. Johnstone, D. Creighton, S. Nahavandi, "Enabling Industrial Scale Simulation / Emulation Models", Proceedings of the Winter Simulation Conference, US, 2007, pp. 1028-034.
5. Y. Kuo, T. Yang, B. A. Peters, I. Chang, "Simulation Metamodel Development Using Uniform Design And Neural Networks For Automated Material Handling Systems In Semiconductor Wafer Fabrication", Simulation Modelling Practice and Theory, Vol. 15, 2007, pp. 1002-1015.
6. D. J. Fonseca, D.O. Navaresse, G. P. Moynihan, "Simulation Metamodeling Through Artificial Neural Networks", Engineering Applications of Artificial Intelligence, Vol. 16, 2003, pp. 177-183.
7. S. Durieux, H.Pierreval, "Regression metamodeling for the design of automated manufacturing system composed of parallel machines sharing a material handling resource", International Journal of Production Economics, Vol. 89, No. 1, 2004, pp. 21-30.
8. F. Altiparmak, B. Dengiz, A. A. Bulgak, "Buffer Allocation And Performance Modeling In Asynchronous Assembly System Operations: An Artificial Neural Network Metamodeling Approach", Applied Soft Computing, Vol. 7, No. 3, 2007, pp. 946-956.
9. J. J. P. C. Kleijnen, "Kriging Metamodeling in Simulation: A Review", European Journal of Operational Research, Vol. 192, No. 3, 2009, pp. 707-716.
10. T. Chen, Y.-C. Lin, "A hybrid and intelligent system for predicting lot output time in a semiconductor fabrication factory", Lecture Notes in Artificial Intelligence, Vol. 4259, 2006, pp. 757-766.
11. G. Yildiz, O. Eski, "An Artificial Neural Network Based Simulation Metamodeling Approach for Dual Resource Constrained Assembly Line", ICANN 2006, Part II, LNCS 4132, 2006, pp. 1002-1011.
12. T. Yang, H. C. Lin, M. Chen, "Metamodeling Approach In Solving The Machine Parameters Optimization Problem Using Neural Network And Genetic Algorithms:A Case Study", Robotics and Computer-Integrated Manufacturing, Vol. 22, 2006, pp. 322-331.
13. R. D. Hurrion, "An Example of Simulation Optimisation Using a Neural Network Metamodel: Finding the Optimum Number of Kanbans in a Manufacturing System", Journal of the Operational Research Society, Vol. 48, No. 11, 1997, pp. 1105-1112.
14. W. Hu, L. Enying, G.Y. Li, Z.H. Zhong, "Development of metamodeling based optimization system for high nonlinear engineering problems", Advances in Engineering Software, Vol. 39, 2008, pp. 629-645.
15. K. Hornik, M. Stinchcombe, H. White, "Multilayer Feedforward Networks are Universal Approximators", Neural Networks, Vol. 2, 1989, pp. 359-366.
16. K. Funahashi, "On The Approximate Realization Of Continuous Mappings By Neural Networks", Neural Networks, Vol. 2, 1989, pp. 183-192.