A generic production rules-based system for on-line simulation, decision making and discrete process control

International Journal of Production Economics

Volumn 112, Issue 1, 2008, Pages 62-76

  Iassinovski, Serguei ^a   Artiba, Abdelhakim ^b   Fagnart, Christophe ^c  

^a Facultes Universitaires Catholiques de Mons   (Belgium)

^b Institut Supérieur de Mécanique de Paris Supméca   (France)

^c Simpartners SA   (Belgium)

Author keywords

Complex system modelling; Decision making; Manufacturing execution system; On line simulation; Process control

Indexed keywords

DECISION MAKING; PROCESS CONTROL; SOFTWARE PROTOTYPING;

COMPLEX SYSTEM MODELLING; MANUFACTURING EXECUTION SYSTEM; ON LINE SIMULATION;

PRODUCTION ENGINEERING;

EID: 38749149120     PISSN: 09255273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijpe.2006.08.028     Document Type: Article

References (14)

1. Artiba A., Emelyanov V., and Iassinovski S.I. Introduction to Intelligent Simulation: The RAO Language (1998), Kluwer Academic Publishers
2. Artiba, A., Iassinovski, S.I., Raczy, C., 1999. A method of complex discrete systems representation for hybrid decision making applications development. In: Proceedings of the International Conference on Industrial Engineering and Production Management (IEPM'99) Glasgow, July 12-15. vol. 2, 222-231.
3. Cardin, O., Castagna, P., 2006. Utilisation de la simulation proactive: Une aide au pilotage des systèmes de production. In: Proceedings of MOSIM'06, Rabat, Maroc, April 3-5.
4. Emelyanov V., and Iassinovski S. Production simulator of manufacturing systems and processes. Vestnik Mashinostroeniya 5 (1992) 41-44
5. Fan-Tien C., and Chun-Yen T. An object controller for equipment communications in semiconductor manufacturing. Robotics and Computer Integrated Manufacturing 18 (2002) 387-402
6. Iassinovski, S.I., 1997. Rules-based decision making for simulation and scheduling. In: Proceedings of International Conference on Industrial Engineering and Production Management (IEPM'97), Lyon. October 20-24, vol. I, 397-406.
7. Kouiss, K., Najid, N., 2004. Un couplage MES-simulation pour le pilotage d'un système de production. In: Proceedings of MOSIM'04, Nantes, France. September 1-3, pp. 585-592.
8. Lee A., and Chan H. A Development of object-oriented simulator for manufacturing execution systems. Computers and Industrial Engineering 37 (1999) 239-242
9. Morel, G., Panetto, H., Zaremba, M., Mayer, F., 2003. Manufacturing enterprise control and management system engineering: Paradigms and open issues. Annual Reviews in Control, 27, 199-209.
10. Nilsson N.J. Principles of Artificial Intelligence (1980), Tioga Publishing
11. Pujo, P., Pedetti, M., Ounnar, F., 2004. Pilotage proactif des lignes de production kanban par modélisation DEVS et simulation temps réel. In: Proceedings of MOSIM'04, Nantes, France. September 1-3, pp. 593-600.
12. Weygandt, S., 1996. Getting the MES model-methods for system analysis. In: ISA Transactions, vol. 35, 95-103.
13. Yemelyanov, V.V., Yasinovskii, S.I., Kryuchkov, M.Yu., 1996. A dynamic optimal method for cutting out material using a genetic algorithm. In: Proceedings of First International Conference on Evolutionary Computation and Its Applications (EvCA'96), June 24-27. Moscow, Russia, pp. 212-221.
14. Young, S.L., 1995. Technology-the enabler for tomorrow's agile enterprise. In: ISA Transactions, vol. 34, 335-341.