Demand and Supply Chain Simulation in Telecommunication Industry by Multi-Rate Expert Systems
In modern telecommunications industry, demand &
supply chain management (DSCM) needs reliable design and
versatile tools to control the material flow. The objective for efficient
DSCM is reducing inventory, lead times and related costs in order to
assure reliable and on-time deliveries from manufacturing units
towards customers. In this paper the multi-rate expert system based
methodology for developing simulation tools that would enable
optimal DSCM for multi region, high volume and high complexity
manufacturing environment was proposed.
[1] Supply Chain Management Research Center. [Online]. Available:
http://www.cio.com/research/scm/edit/012202_scm.html
[2] M. Koch, B. Kleinjohann, A. Schmidt, P. Scheideler, A. Saskevic, E.
M├╝nch, A. Gambuzza, O. Oberschelp, and T. Hestermeyer, "Neurofuzzy
approaches for self-optimizing concepts and structures of
mechatronic systems," in Proc. Int. Conf. Computing, Communications
and Control Technologies, Austin, TX, USA, 2004, pp. 263-268.
[3] L. Fausett, Fundamentals of Neural Networks: Architectures,
Algorithms, and Applications. Englewood Cliffs, NJ: Prentice-Hall,
1994.
[4] S. J. Russell and P. Norvig, Artificial Intelligence - a Modern Approach.
Upper Saddle River, NJ: Prentice-Hall, 1995.
[5] L.A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, no. 3, pp.
338-353, June 1965.
[6] F. Klawonn and E. P. Klement, "Mathematical analysis of fuzzy
classifiers," in Advances in Intelligent Data Analysis Reasoning about
Data, X. Liu, P. Cohen, M. Berthold, Eds. Berlin: Springer, 1997, pp.
359-370.
[7] M. Koch and O. Oberschelp, "Simulation of self optimizing
mechatronical systems with expert system knowledge," in Proc. 5th
Asian Control Conf., Melbourne, Australia, 2004, pp. 1437-1445.
[8] M. Wooldridge and N. R. Jennings, "Intelligent agents: theory and
practice," The Knowledge Engineering Review, vol. 10, no. 2, pp. 115-
152, June 1995.
[1] Supply Chain Management Research Center. [Online]. Available:
http://www.cio.com/research/scm/edit/012202_scm.html
[2] M. Koch, B. Kleinjohann, A. Schmidt, P. Scheideler, A. Saskevic, E.
M├╝nch, A. Gambuzza, O. Oberschelp, and T. Hestermeyer, "Neurofuzzy
approaches for self-optimizing concepts and structures of
mechatronic systems," in Proc. Int. Conf. Computing, Communications
and Control Technologies, Austin, TX, USA, 2004, pp. 263-268.
[3] L. Fausett, Fundamentals of Neural Networks: Architectures,
Algorithms, and Applications. Englewood Cliffs, NJ: Prentice-Hall,
1994.
[4] S. J. Russell and P. Norvig, Artificial Intelligence - a Modern Approach.
Upper Saddle River, NJ: Prentice-Hall, 1995.
[5] L.A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, no. 3, pp.
338-353, June 1965.
[6] F. Klawonn and E. P. Klement, "Mathematical analysis of fuzzy
classifiers," in Advances in Intelligent Data Analysis Reasoning about
Data, X. Liu, P. Cohen, M. Berthold, Eds. Berlin: Springer, 1997, pp.
359-370.
[7] M. Koch and O. Oberschelp, "Simulation of self optimizing
mechatronical systems with expert system knowledge," in Proc. 5th
Asian Control Conf., Melbourne, Australia, 2004, pp. 1437-1445.
[8] M. Wooldridge and N. R. Jennings, "Intelligent agents: theory and
practice," The Knowledge Engineering Review, vol. 10, no. 2, pp. 115-
152, June 1995.
@article{"International Journal of Business, Human and Social Sciences:56556", author = "Andrus Pedai and Igor Astrov", title = "Demand and Supply Chain Simulation in Telecommunication Industry by Multi-Rate Expert Systems", abstract = "In modern telecommunications industry, demand &
supply chain management (DSCM) needs reliable design and
versatile tools to control the material flow. The objective for efficient
DSCM is reducing inventory, lead times and related costs in order to
assure reliable and on-time deliveries from manufacturing units
towards customers. In this paper the multi-rate expert system based
methodology for developing simulation tools that would enable
optimal DSCM for multi region, high volume and high complexity
manufacturing environment was proposed.", keywords = "Demand & supply chain management, expert
systems, inventory control, multi-rate control, performance metrics.", volume = "2", number = "5", pages = "526-3", }