A fuzzy Petri net-based reasoning method for rescheduling

Transactions of the Institute of Measurement and Control

Volumn 33, Issue 3-4, 2011, Pages 435-455

  Qiao, Fei ^a   Wu, Qidi ^a   Li, Li ^a   Wang, Zuntong ^a   Shi, Bin ^a  

^a TONGJI UNIVERSITY   (China)

Author keywords

Fuzzy reasoning; Petri net; Rescheduling; Semiconductor manufacturing

Indexed keywords

DECISION MAKING; FUZZY SYSTEMS; PETRI NETS; SCHEDULING; SEMICONDUCTOR DEVICE MANUFACTURE;

FUZZY PETRI NET MODELS; FUZZY REASONING; METHODOLOGY ADOPTION; OPTIMAL SCHEDULING; REASONING APPROACH; RESCHEDULING; SEMICONDUCTOR MANUFACTURING; WAFER FABRICATIONS;

FUZZY NEURAL NETWORKS;

EID: 79960262631     PISSN: 01423312     EISSN: None     Source Type: Journal    
DOI: 10.1177/0142331208100100     Document Type: Article

References (26)

1. Abumaizar, R.J. and Svestka, J.A. 1997: Rescheducing job shops under random disruption. International Journal of Production Research 35, 2065-82. (Pubitemid 127549712)
2. Akturk, M.S. and Gorgulu, E. 1999: Match-up scheduling under a machine breakdown. European Journal of Operational Research 112, 81-97.
3. Askounis, D., Psarras, J. and Metaxiotis, K.S. 2002: Expert systems in production planning and scheduling: a state-of-the-art survey. Journal of Intelligent Manufacturing 13, 253-60. (Pubitemid 34830273)
4. Bean, J.C., Birge, J.R., Mittenthal, J. and Noon, C.E. 1991: Matchup scheduling with multiple resources, release dates, and disruptions. Operations Research 39, 470-83.
5. Bierwirth, C. and Dirk, CM. 1999: Production scheduling and rescheduling with genetic algorithms. Evolutionary Computation 7, 1-17.
6. Chen, K.J. and Ji, P. 2007: A genetic algorithm for dynamic advanced planning and scheduling (DAPS) with a frozen interval. Expert Systems with Applications 33, 1004-10. (Pubitemid 46497772)
7. Chen, S.M., Ke, J.S. and Chang, J.E 1990: Knowledge representation using fuzzy Petri nets. IEEE Transactions on Knowledge and Data Engineering 2, 311-19.
8. Gao, M., Zhou, M., Huang, X. and Wu, Z. 2003: Fuzzy reasoning Petri nets. IEEE Transactions on Systems, Man, and Cybernetics Part A 33, 314-24.
9. Gao, M., Zhou, M. and Tang, Y. 2004: Intelligent decision making in disassembly process based on fuzzy feasoning Petri nets. IEEE Transactions on Systems, Man, and Cybernetics Part B 34, 2029-34.
10. Gupta, YP, Evans, G.W. and Gupta, M.C. 1991: A review of multi-criterion approaches to FMS scheduling problem. International Journal of Production Economics 22, 13-31.
11. Jia, L.X., Xue, J.Y. and Ru, F. 2003: Fuzzy Petri net based formalized reasoning algorithm with applications. Journal of Xi'an Jiaotong University 37, 1263-66.
12. Konar, A., Chakraborty, U.K. and Wang, P.P. 2005: Supervised learning on a fuzzy Petri net. Information Sciences 172, 397-416. (Pubitemid 40654870)
13. Li, H., Li, Z., Li, L.X. and Hu, B. 2000: A production rescheduling expert simulation system. European Journal of Operational Research 124, 283-93.
14. Li, X. and Lara-Rosano, F. 2000: Adaptive fuzzy Petri nets for dynamic knowledge representation and inference. Expert Systems with Applications 19, 235-41.
15. Mehta, S.V. and Uzsoy, R.M. 1998: Predictable scheduling of a job shop subject to breakdowns. IEEE Transactions on Robotics and Automation 14, 365-78. (Pubitemid 128752007)
16. Olumolade, M.O. and Norrie, D.H. 1996: Reactive scheduling system for cellular manufacturing with failure-prone machines. International Journal of Computer Integrated Manufacturing 9, 131-14.
17. Ouali, M.S., Ait-Kadi, D. and Rezg, N. 1999: Fault diagnosis model based on Petri net with fuzzy colors. Computers & Industrial Engineering 37, 173-76.
18. Qi, X.T., Bard, J.F. and Yu, G. 2006: Disruption management for machine scheduling: the case of SPT schedules. International Journal Production Economics 103, 166-84. (Pubitemid 43866474)
19. Qiao, F., Li, L., Wang, Z.T. and Guo, C.Z. 2007: Improved hybrid rescheduling strategy for semiconductor manufacturing. Computer Integrated Manufacturing System 13, 558-62. (Pubitemid 46771835)
20. Ramasesh, R. 1990: Dynamic job shop scheduling: a survey of simulation research. Omega 18, 43-57.
21. Rangsaritratsamee, R., Ferrell Jr, W.G. and Kurz, M.B. 2004: Dynamic rescheduling that simultaneously considers efficiency and stability. Computers & Industrial Engineering 46, 1-15.
22. Suwa, H. 2007: A new when-to-schedule policy in online scheduling based on cumulative task delays. International Journal Production Economics 110, 175-86. (Pubitemid 47380292)
23. Vieira, G.E., Herrmann, J.W. and Lin, E. 2000a: Analytical models to predict the performance of a single-machine system under periodic and event-driven rescheduling strategies. International Journal of Production Research 38, 1899-915. (Pubitemid 35395497)
24. Vieira, G.E., Herrmann, J.W. and Lin, E. 2000b: Predicting the performance of rescheduling strategies for parallel machine systems. Journal of Manufacturing Systems 19, 256-66.
25. Vieira, G.E., Herrmann, J.W. and Lin, E. 2003: Rescheduling manufacturing systems: a framework of strategies, policies, and methods. Journal of Scheduling 6, 39-62.
26. Wu, S.D., Byeon, E.-S. and Storer, R.H. 1999: A graph-theoretic decomposition of the job shop scheduling problem to achieve scheduling robustness. Operations Research 47, 113-24. (Pubitemid 129700862)