Simulation of semiconductor manufacturing supply-chain systems with DEVS, MPC, and KIB

IEEE Transactions on Semiconductor Manufacturing

Volumn 22, Issue 1, 2009, Pages 164-174

  Huang, Dongping ^a,b   Sarjoughian, Hessam S ^a   Wang, Wenlin ^c   Godding, Gary ^d   Rivera, Daniel E ^e   Kempf, Karl G ^d   Mittelmann, Hans ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

^b MICROSOFT   (United States)

^c IT Manufacturing Systems   (United States)

^d INTEL CORPORATION   (United States)

^e Arizona State University   (United States)

Author keywords

Discrete Event System Specification; Hybrid simulation testbed; Knowledge Interchange Broker (KIB); Model composability; Model predictive control; Optimization; Semiconductor manufacturing; Supply chain management

Indexed keywords

CHAINS; ELECTRIC CONDUCTIVITY; FORCE CONTROL; INDUSTRIAL APPLICATIONS; INDUSTRIAL ENGINEERING; INTERCHANGES; INTERSECTIONS; MANUFACTURE; MODEL PREDICTIVE CONTROL; PREDICTIVE CONTROL SYSTEMS; PROCESS MONITORING; PRODUCTION ENGINEERING; REAL TIME SYSTEMS; SEMICONDUCTOR MATERIALS; SPECIFICATIONS; STOCHASTIC MODELS; SUPPLY CHAIN MANAGEMENT; TEST FACILITIES; TESTBEDS;

DISCRETE-EVENT SYSTEM SPECIFICATION; HYBRID SIMULATION TESTBED; KNOWLEDGE INTERCHANGE BROKER (KIB); MODEL COMPOSABILITY; OPTIMIZATION; SEMICONDUCTOR MANUFACTURING;

PROCESS CONTROL;

EID: 59849116706     PISSN: 08946507     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSM.2008.2011680     Document Type: Conference Paper

References (34)

1. Achieving supply chain excellence through technology ASCET, 2003 [Online]. Available: http://www.ascet.com
2. K. Kempf, "Control-oriented approaches to supply chain management in semiconductor manufacturing," in Proc. IEEE Amer. Control Conf., Boston, MA, 2004, pp. 4563-4576.
3. S. D. Wu, M. Erkoc, and S. Karabuk, "Managing capacity in the hightech industry: A review of the literature," Eng. Economists, vol. 50, pp. 125-158, 2005.
4. A. Velosa, "Semiconductor manufacturing: Boom busts, and globalization," The Bridge, Nat. Acad. Engineers, vol. 35, 2005.
5. G. Godding, H. Sarjoughian, and K. Kempf, "Application of combined discrete-event simulation and optimization models in semiconductor enterprise manufacturing systems," in Proc. Winter Simulation Conf., Washington, DC, 2007, pp. 1729-1736.
6. H. Sarjoughian and J. Plummer, "Design and implementation of a bridge between RAP and DEVS", Dept. Computer Science and Engineering, Arizona State Univ., Tempe, AZ, 2002, Internal Rep..
7. G. Godding, H. Sarjoughian, and K. Kempf, "Multi-formalism modeling approach for semiconductor supply/demand networks," in Proc. Winter Simulation Conf., Washington, DC, 2004, pp. 232-239.
8. H. S. Sarjoughian, D. Huang, W. Wang, D. E. Rivera, K. G. Kempf, G. W. Godding, and H. D. Mittelmann, "Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing." in Proc. Winter Simulation Conf., Orlando, FL, 2005, pp. 255-266.
9. H. S. Sarjoughian, "Model composability," in Proc. Winter Simulation Conf., Monterey, CA, 2006, pp. 149-158.
10. D. Huang, H. S. Sarjoughian, G. W. Godding, D. E. Rivera, and K. G. Kempf, "Flexible experimentation and analysis for hybrid DEVS and MPC models," in Proc. Winter Simulation Conf., Monterey, CA, 2006, pp. 1863-1870.
11. B. P. Zeigler, H. Praehofer, and T. G. Kim, Theory of Modeling and Simulation. New York: Academic, 2000.
12. S. Qin, An overview of industrial model predictive conttol technology 1996 [Online]. Available: http://www.che.utexas.edu/~qin/cpcv/cpcv14.html
13. DEVSJAVA ACIMS, 2003 [Online], Available: http://www.acims.arizona.edu/ SOFTWARE
14. Mathworks, MATLAB/SIMULINK 2005 [Online]. Available: http://www. mathworks.com
15. R. J. Vanderbei, "An interior point code for quadratic programming," Optimization Methods Software, vol. 11, pp. 451-484, 1999.
16. R. Singh, H. S. Sarjoughian, and G. W. Godding, "Design of scalable simulation models for semiconductor manufacturing processes," in Proc. Summer Computer Simulation Conf., San Jose, CA, 2004, pp. 235-240.
17. W. Wang, D. E. Rivera, and K. Kempf, "Model predictive control strategies for supply chain management in semiconductor manufacturing," Int. J. Production Economics, vol. 107, pp. 56-77, 2007.
18. W. Wang, "Model predictive control strategies for supply chain management in semiconductor manufacturing," Ph.D., Dept. Chemical and Materials Engineering, Arizona State Univ., 2006.
19. W. Wang and D. E. Rivera, "A model predictive control algorithm for tactical decision-making in semiconductor manufacturing supply chain management." IEEE Trans. Control Syst. Technol., vol. 16, no. 5, pp. 841-855, Sep. 2008.
20. H. S. Sarjoughian, D. Huang, G. W. Godding, D. E. Rivera, W. Wang, K. G. Kempf, and H. D. Mittelmann. Hybrid discrete-event process simulation and model predictive control with knowledge interchange broker, unpublished.
21. G. R. Mayer and H. S. Sarjoughian, "Complexities of simulating a hybrid agent-landscape model using multi-formalism composability," in Proc. Agent Directed Simulation, Spring Simulation Multi-Conf., Norfolk, VA, 2007, pp. 161-168.
22. D. Huang, "Composable modeling and distributed simulation framework for discrete supply-chain systems with predictive control," Ph.D. dissertation, Computer Science and Engineering Dept., School of Computing and Informatics, Arizona State Univ., 2008.
23. M. Semini, H. Fauske, and J. O. Strandhagen, "Applications of discreteevent simulation to support manufacturing logistics decision-making: A survey," in Proc, Winter Simulation Conf., Monterey, CA, 2006, pp. 1946-1953.
24. P. Lendermann. N. Julka, B. Gan, D. Chen, L. McGinnis, and J. McGinnis, "Distributed supply chain simulation as a decision support tool for the semiconductor industry," ACM Trans. Modeling and Computer Simulation, vol. 15, pp. 316-345, 2005.
25. J. W. Fowler and O. Rose, "Grand challenges in modeling and simulation of complex manufacturing systems," Simulation Trans., vol. 80, no. 9, pp. 469-476, 2004.
26. J. D. Schwartz, W. Wang, and D. E. Rivera, "Simulation-based optimization of model predictive control policies for inventory management in supply chains," Automatica, vol. 42, no. 8, pp. 1311-1320, 2006.
27. D. Simchi-Levi, P. Kaminsky, and E. Simchi-Levi, Designing and Managing the Supply Chain. New York: McGraw Hill, 2000.
28. Y.-F. Hung and R. C. Leachman, "A production planning methodology for semiconductor manufacturing based on iterative simulation and linear programming calculations," IEEE Trans. Semicond. Manuf., vol. 9, no. 2, pp. 257-269, May 1996.
29. S. Chopra and P. Meindl, Supply Chain Management: Strategy, Planning, and Operation. Upper Saddle River, NJ: Prentice-Hall, 2001.
30. S. C. Graves and S. P. Willems, "Optimizing strategic safety stock placement in supply chains," Manufacturing Service Operations Manage., vol. 2, pp. 68-83, 2000.
31. Y. Xu and S. Sen, "A distributed computing architecture for simulation and optimization," in Proc. Winter Simulation Conf., Orlando, FL, 2005, pp. 365-373.
32. HLA Framework and Rules. IEEE 1516-2000 IEEE, 2000.
33. J. Gjerdrum, N. Shah, and L. Papageorgiou, "A combined optimization and agent-based approach to supply chain modelling and performance assessment," Production Planning Control, vol. 12, pp. 81-88, 2001.
34. J. Venkateswaran and A. Jones, "Hierarchical production planning using a hybrid system dynamic-discrete event simulation architecture," in Proc. Winter Simulation Conf., Washington, D.C, 2004, pp. 1094-1102.