Function blocks enabled dynamic set-up dispatching and execution monitoring

International Journal of Computer Integrated Manufacturing

Volumn 22, Issue 1, 2009, Pages 3-12

  Wang, Lihui ^a   Cai, Ningxu ^a   Feng, Hsi Yung ^b  

^a UNIVERSITY OF WESTERN ONTARIO   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Execution monitoring; Function block; Process planning; Set up dispatching

Indexed keywords

DECISION MAKING; ENGINEERS; INTERNATIONAL TRADE; OUTSOURCING; PROCESS PLANNING; PRODUCTION CONTROL;

EVENT DRIVEN MECHANISMS; EXECUTION MONITORING; FUNCTION BLOCK; MANUFACTURING ENGINEERS; MANUFACTURING PROCESS; PRODUCT DIVERSIFICATION; PRODUCTION PLANNING AND CONTROL; SET-UP DISPATCHING;

MANUFACTURE;

EID: 60849123508     PISSN: 0951192X     EISSN: 13623052     Source Type: Journal    
DOI: 10.1080/09511920801911027     Document Type: Article

References (31)

1. Arezoo, B., Ridgway, K., and Al-Ahmari, A.M.A., 2000. Selection of cutting tools and conditions of machining operations using an expert system. Computers in Industry, 42, 43-58.
2. Boogert, R.M., Kals, H.J., and van Honten, F.J., 1996. Tool paths and cutting technology in computer-aided process planning. International Journal of Advanced Manufacturing Technology, 11, 186-197.
3. Brennan, R.W., et al., 2002. A reconfigurable concurrent function block model and its implementation in real-time Java. Integrated Computer-Aided Engineering, 9, 263-279.
4. Cai, N., Wang, L., and Feng, H.-Y., 2008. GA based adaptive set-up planning toward process planning and scheduling integration. International Journal of Production Research, Published online 22 January 2008. doi 10.1080/00207540701663516.
5. Chang, T.-C., Wysk, R.A., and Wang, H.-P., 1991. Computer-aided manufacturing. New Jersey: Prentice Hall.
6. Devireddy, C.R. and Ghosh, K., 1999. Feature-based modelling and neural network-based CAPP for integrated manufacturing. International Journal of Computer Integrated Manufacturing, 12, 61-74.
7. Gologlu, C., 2004. Machine capability and fixturing constraints-imposed automatic machining setups generation. Journal of Materials Processing Technology, 148, 83-92.
8. Huang, S.H. and Xu, N., 2003. Automatic set-up planning for metal cutting: an integrated methodology. International Journal of Production Research, 41, 4339-4356.
9. International Electrotechnical Commission, 2005. IEC 61499, International Standard of Function Blocks - Pan 1: Architecture, Geneva, Switzerland: IEC, pp. 1-111.
10. Lee, K.Y. and Jung, M.Y., 1995. Flexible process sequencing using Petri net theory. Computers and Industrial Engineering, 28, 279-290.
11. Lim, T., et al., 2001. Optimising tool selection. International Journal of Production Research, 39, 1239-1256.
12. OOONEIDA, 2007 [online]. Available from: http://www.oooneida.info/.
13. Ong, S.K., Ding, J., and Nee, A.Y.C., 2002. Hybrid GA and SA dynamic set-up planning optimisation. International Journal of Production Research, 40, 4697-4719.
14. Ong, S.K. and Nee, A.Y.C., 1996. Fuzzy-set-based approach for concurrent constraint setup planning. Journal of Intelligent Manufacturing, 7, 107-120.
15. Schwab, C., Tangermann, M., and Ferrarini, L., 2005. Web based methodology for engineering and maintenance of distributed control systems: the TORERO approach. In: Proceedings of the 3rd IEEE International Conference on Industrial Informatics, 2005, Perth, Australia.
16. Stori, J.A. and Wright, P.K., 1996. A knowledge-based system for machining operation planning in feature based, open-architecture manufacturing. In: Proceedings of ASME DETC'96. Irvine, CA.
17. Thramboulidis, K. and Tranoris, C., 2001. An architecture for the development of function block oriented engineering support systems. In: Proceedings of IEEE International Conference on Computational Intelligence in Robotics and Automation, Banff, Canada.
18. Vyatkin, V.V. and Christensen, J.H., 2005. OOONEIDA: An open, object-oriented knowledge economy for intelligent industrial automation. IEEE Transaction on Industrial Informatics, 1, 4-17.
19. Wang, L., et al., 2001. Realising holonic control with function blocks. Integrated Computer-Aided Engineering, 8, 81-93.
20. Wang, L., et al., 2006a. Enriched machining feature based reasoning for generic machining process sequencing. International Journal of Production Research, 44, 1479-1501.
21. Wang, L., Feng, H.-Y., and Cai, N., 2003. Architecture design for distributed process planning. Journal of Manufacturing Systems, 22, 99-115.
22. Wang, L., Jin, W., and Feng, H.-Y., 2006b. Embedding machining features in function blocks for distributed process planning. International Journal of Computer Integrated Manufacturing, 19, 443-452.
23. Wang, L. and Norrie, D.H., 2001. Process planning and control in a holonic manufacturing environment. Journal of Applied Systems Studies, 2, 106-126.
24. Wang, L. and Shen, W., 2003. DPP: an agent-based approach for distributed process planning. Journal of Intelligent Manufacturing, 14, 429-440.
25. Yeo, S.H., Ngoi, B.K.A., and Chen, H., 1998. Process sequence optimisation based on a new cost-tolerance model. Journal of Intelligent Manufacturing, 9, 29-37.
26. Yao, S., et al., 2007. Computer aided manufacturing planning for mass customisation: part 2, automated setup planning. International Journal of Advanced Manufacturing Technology, 32, 205-217.
27. Yilmaz, I.O., et al., 2007. Development of group setup strategies for makespan minimisation in PCB assembly. International Journal of Production Research, 45 (4), 871-897.
28. Zhang, Y., et al., 1999. Object oriented manufacturing resource modelling for adaptive process planning. International Journal of Production Research, 37, 4179-4195.
29. Zhang, H.-C. and Lin, E., 1999. A hybrid-graph approach for automated setup planning in CAPP. Robotics and Computer-Integrated Manufacturing, 15, 89-100.
30. Zhang, Y., 2001. Graph-based set-up planning and tolerance decomposition for computer-aided fixture design. International Journal of Production Research, 39, 3109-3126.
31. Zhang, F., Zhang, Y.F., and Nee, A.Y.C., 1997. Using genetic algorithms in process planning for job shop machining. IEEE Transactions on Evolutionary Computation, 1, 278-289.