Methodology of Realization for Supervisor and Simulator Dedicated to a Semiconductor Research and Production Factory
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Methodology of Realization for Supervisor and Simulator Dedicated to a Semiconductor Research and Production Factory

Authors: Hanane Ondella, Pierre Ladet, David Ferrand, Pat Sloan

Abstract:

In the micro and nano-technology industry, the «clean-rooms» dedicated to manufacturing chip, are equipped with the most sophisticated equipment-tools. There use a large number of resources in according to strict specifications for an optimum working and result. The distribution of «utilities» to the production is assured by teams who use a supervision tool. The studies show the interest to control the various parameters of production or/and distribution, in real time, through a reliable and effective supervision tool. This document looks at a large part of the functions that the supervisor must assure, with complementary functionalities to help the diagnosis and simulation that prove very useful in our case where the supervised installations are complexed and in constant evolution.

Keywords: Control-Command, evolution, non regression, performances, real time, simulation, supervision.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077319

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1213

References:


[1] Pujo P., Kieffer J-P., « Fondements du pilotage des systèmes de production », Lavoisier, Paris, 2002, Ch3-5.
[2] David R., Alla H., « Petri nets and grafcet: tools for modelling discrete event systems », Prentice Hall, Inc., New York, 1992, Ch1,2,4-6.
[3] El-Fattah Y.M., Foulard C., « Learning systems: decision, simulation and control », Springer-Verlag, Berlin, 1978.
[4] Venkatesh K., Ilyas M., «Real-time petri nets for modeling, controlling, and simulation of local area networks in flexible manufacturing systems». Computers ind. Vol. 28, No. 1, pp. 147-162, Elsevier Science Ltd, 1995.
[5] Charbonnier, F., Alla, H., & David, R. The supervised control of discrete event dynamic systems. IEEE Transactions on Control Systems Technology, 7(2), 175-187, 1999.
[6] Golaszewski, C. H., & Ramadge, P. J. (1987). Control of discrete-even tprocesses with forced events. Proceedings of the 28th Conference on Decision and Control (pp. 247-251). Los Angeles, 1987.