Neural network simulation metamodels and genetic algorithms in analysis and design of manufacturing cells

International Journal of Advanced Manufacturing Technology

Volumn 29, Issue 5, 2006, Pages 541-550

  Vosniakos, George Christopher ^a   Tsifakis, Alexander ^a   Benardos, Panorios ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Artificial neural networks; Discrete event simulation; Genetic algorithms; Manufacturing cells; Metamodels; Operations optimisation

Indexed keywords

CELLULAR MANUFACTURING; COMPUTER SIMULATION; GENETIC ALGORITHMS; METADATA; OPTIMIZATION; STRUCTURAL DESIGN;

CLASSIC GENETIC OPERATORS; DISCRETE EVENT SIMULATION; METAMODELS; OPERATIONS OPTIMIZATION;

NEURAL NETWORKS;

EID: 33745698696     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-005-2535-y     Document Type: Article

References (28)

1. Jula P, Houshyar A, Severance FL, Sawhneyet A (1996) Application of artificial neural networks in interactive simulation. Comput Ind Eng 31(1-2):417-420
2. LeCroy K, Georgiopoulos M (1998) Application of neural networks and simulation modelling in manufacturing system design. Interfaces 28(5):100-114
3. Christodoulou M, Gaganis V (1998) Neural networks in manufacturing cell design. Comput Ind 36(1-2):133-138
4. Sagi SR, Chen FF (1995) A framework for intelligent design of manufacturing cells. J Intell Manuf 6(3):175-190
5. Haouani M, Lefebvre D, Zerhouni N, El Moudni A (2002) Neural networks implementation for modelling and control design of manufacturing systems. J Intell Manuf 11(1):29-40
6. Çakar T, Cil I (2003) Artificial neural networks for design of manufacturing systems and selection of priority rules. Int J Comput Integr Manuf 17(3): 195-211
7. Khoo LP, Loi MY (2002) A Tabu-enhanced GA approach to agile manufacturing. Int J Adv Manuf Technol 20(9):692-700
8. Lee SG, Khoo LP, Yin XF (2000) Optimising an assembly line through simulation augmented by Gas. Int J Adv Manuf Technol 16(3):220-228
9. Zhao ZY, de Souza R (2000) Genetic production line-balancing for the hard disk drive industry. Int J Adv Manuf Technol 16(4):297-302
10. Saitou K, Malpathak S, Qvam H (2002) Robust design of flexible manufacturing systems using coloured Petri net and GA. J Intell Manuf 13(5):339-351
11. Lacksonen T (2001) Empirical comparison of search algorithms for discrete event simulation. Comput Ind Eng 40(1-2):133-148
12. Tiwari MK, Vidyaithi NK (2000) Solving machine loading problems in a flexible manufacturing system using a GA based heuristic approach. Int J Prod Res 38(14):3357-3384
13. Mohanty PP (2003) Evolutionary algorithm to solve an FMS design problem. Int J Manuf Technol Manage 5(3):279-296
14. McHaney R (1999) Integration of the GA and discrete-event computer simulation for decision support. Simulation 72(6):401-411
15. Caskey KR (2001) A manufacturing problem solving environment combining evaluation, search and generalisation methods. Comput Ind 44(2):175-187
16. Paris JL, Tautou-Guillaume L, Pierreval H (2001) Dealing with design options in the optimisation of manufacturing systems: an evolutionary approach. Int J Prod Res 39(6): 1081-1094
17. Holter T, Yao X, Rabelo LC, Jones A, Yih Y (1995) Integration of neural networks and genetic algorithms for an intelligent manufacturing controller. Comput Ind Eng 29(1-4):211-215
18. Mezgár I, Egresits C, Monostori L (1997) Design and real-time reconfiguration of robust manufacturing systems by using design of experiments and artificial neural network. Comput Ind 33(1):61-70
19. Monostori L, Viharos ZJ (2001) Hybrid, AI- and simulation-supported optimisation of process chains and production plants. Ann CIRP 50(1):353-356
20. Chen M-C, Yang T (2002) Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search. Int J Prod Res 40(1):71-92
21. Bateman RE, Bowden RG, Gogg TJ, Harrell CR, Mott JRA (1997) System improvement using simulation, 5th edn. Promodel Corporation, Orem, UT
22. Ahramovits A, Vosniakos GC (2003) Manufacturing system flexibility study using simulation. Proc 6th SMESME Conference, Athens, 1-3 June 2003, pp 303-312
23. Fausett L (1994) Fundamentals of neural networks. Architectures, algorithms and applications. Prentice-Hall, New York
24. The Mathworks Inc (2003a) Matlab. Documentation for ANN toolbox. http://www.mathworks.com
25. Mitchell M (1997) An introduction to genetic algorithms. MIT Press, Boston, MA
26. The Mathworks Inc (2003b) Matlab. Documentation for GA toolbox, http://www.mathworks.com
27. Benardos P, Vosniakos GC (2002) Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments. Robot CIM 18:343-354
28. Sabuncuoglou I, Touhami S (2002) Simulation metamodelling with neural networks : an experimental investigation. Int J Prod Res 40(11):2483-2505