Abstract
Production control of manufacturing systems involves decisions such as part release, routing, machine scheduling, set up times etc. with the objective of producing customers’ demands in a timely and economic fashion. A special class, namely flexible manufacturing systems (FMS) has increased in popularity due to its quicker response to market changes, reduction in work-in-process and high levels of productivity [1]. The objective of scheduling is to find a way to assign and sequence the use of shared resources (labor, material, equipment), such that production constraints are satisfied and production costs are minimized.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
S.B. Gershwin, Manufacturing Systems Engineering, Englewood Cliffs, New Jersey, Prentice Hall, 1994.
Y.P. Gupta, G.W. Evans, M.C. Gupta, “A review of multi-criterion approaches to FMS scheduling problems”, International Journal of Production Economics, vol. 22, pp. 13–31, 1991.
F.A.Rodammer, K. Preston White, JR, “A Recent Survey of Production Scheduling”, IEEE Transactions on Systems, Man and Cybernetics, vol. 18, no. 6, pp. 841–851, 1988.
J.R. Jackson, “Jobshop-like Queuing Systems”, Management Science, Vol. 10, No. 1, pp. 131–142, Oct. 1963.
Y.P. Gupta, M.C. Gupta, C.R. Bector, “A review of scheduling rules in flexible manufacturing systems”, Int. J. Comput.Integ. Manuf, vol. 2, no. 6, pp. 356–377, 1991.
A, Sharifnia, “Stability and Performance of Distributed Production Control Methods based on Continuous-Flow Models”, IEEE Transactions on Automatic Control, vol. 39, no. 4, pp. 725–737, 1994.
J.R. Perkins, P.R. Kumar, “Stable,Distributed, Real-Time Scheduling of Manufacturing Systems”, IEEE Transaction on Automatic Control, vol. 35, no. 3, pp. 289–298, 1990.
Y.C. Ho, “Perturbation Analysis of Discrete Event Systems,” Proc. ist ORSA/TIMS Conf. FMS, Ann Arbor, Michigan, USA, 1984.
K.A. Fox, “MRP-II providing a natural hub for computer integrated manufacturing system”, Ind. Eng., pp. 44–50, 1984.
R.J. Schonberger, “Just-In-Time Production Systems: Replacing Complexity with Simplicity in Manufacturing Management”, Ind. Eng., pp. 52–63, 1984.
F.R. Jacobs, “The OPT scheduling system: A Review of A New Production Scheduling System”, Product. Inventory Management, vol. 24, pp. 47–51, 1983.
M.Dolinska, C.B. Besant, “Dynamic Control of Flexible Manufacturing Systems,” The International Journal of Advanced Manufacturng Technology, vol. 10, pp. 131–138, 1995.
L. Davis, “Job Shop Scheduling with genetic Algorithms”, in Proc. Int. Conf. Genetic Algorithms and Their Applications, Carnegie-Mellon University, Pittsburg, PA, July 24–26, 1985.
A. Kusiak, “Designing Expert Systems for Scheduling of Automated Manufacturing,” Ind. Eng. pp. 42–46, 1987.
S.B. Gershwin, R.R. Hildebrant, R. Suri and S.K. Mitter, “A Control Perspective on Recent Trends in Manufacturing Systems,” IEEE Contr. Syst. Mag., pp. 3–15, 1986.
J. Hertz, A. Krogh and R.G. Palmer, Introduction to the Theory of Neural Computation, Addison-Wesley Publ. Co., 1991.
G. Rovithakis and M. Christodoulou, “Adaptive Control of Unknown Plants Using Dynamical Neural Networks”, IEEE Transactions on Systems, Man and Cybernetics, vol. 24 no. 3, March 1994.
G.A. Rovithakis and M. A. Christodoulou, “Direct Adaptive Regulation of Unknown Nonlinear Dynamical Systems via Dynamic Neural Networks”, IEEE Transactions on Systems Man and Cybernetics, vol. 25, no. 12, pp. 1578–1594, 1995.
G.A. Rovithakis and M. A. Christodoulou, “Neural Adaptive Regulation of Unknown Nonlinear Dynamical Systems”, IEEE Transactions on Systems Man and Cybernetics,To appear.
E.B. Kosmatopoulos, M.M. Polycarpou, M.A. Christodoulou and P.A. Ioannou, “Higher-Order Neural Network Structures for Identification of Dynamical Systems”, IEEE Trans. Neural Networks, vol. 6, no. 2, pp. 422–431, 1995.
J.K. Hale, Ordinary Differential Equations, New York, NY, WilleyInterScience, 1969.
P.A. Ioannou and J. Sun, Robust Adaptive Control, Upper Saddle River, NJ, Prentice Hall, 1996.
N. Rouche, P. Habets, and M. Laloy, Stability Theory by Lyapunov Direct Method, New York; Springer-Verlag, 1977.
G.Rovithakis, V.Gaganis, S.Perrakis and M.Christodoulou, “A Recurrent Neural Network Model to Describe Manufacturing Cell Dynamics”, 35 th IEEE Conference on Decision and Control, Kobe Japan, 1997.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag London Limited
About this chapter
Cite this chapter
Kárný, M., Warwick, K., Kůrková, V. (1998). Discrete Event Complex Systems: Scheduling with Neural Networks. In: Kárný, M., Warwick, K., Kůrková, V. (eds) Dealing with Complexity. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1523-6_11
Download citation
DOI: https://doi.org/10.1007/978-1-4471-1523-6_11
Publisher Name: Springer, London
Print ISBN: 978-3-540-76160-0
Online ISBN: 978-1-4471-1523-6
eBook Packages: Springer Book Archive