A model for generating optimal process plans in RMS

International Journal of Computer Integrated Manufacturing

Volumn 21, Issue 2, 2008, Pages 180-194

  Shabaka, A I ^a   Elmaraghy, H A ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Constraint satisfaction; Genetic algorithms; Optimization; Process planning; Reconfigurable manufacturing systems

Indexed keywords

COMPUTATIONAL COMPLEXITY; GENETIC ALGORITHMS; OPERATING COSTS; OPTIMIZATION;

CONSTRAINT SATISFACTION; RECONFIGURABLE MANUFACTURING SYSTEMS (RMS); TOOL APPROACH DIRECTIONS (TAD);

PROCESS PLANNING;

EID: 40849139503     PISSN: 0951192X     EISSN: 13623052     Source Type: Journal    
DOI: 10.1080/09511920701607741     Document Type: Conference Paper

References (26)

1. Alting, L. and Zhang, H., Computer aided process planning: the state-of-the-art survey. Int. J. Prod. Res., 1989, 27, 553-585.
2. Ciurana, J., G.-Romeu, M.L. and Castro, R., Optimising process, planning using groups of precedence between operations based on machined volumes. Eng. Comp., 2003, 20, 67-81.
3. Dereli, T. and Filiz, I.H., Optimisation of process planning functions by genetic algorithms. Comput. Ind. Engng., 1999, 36, 281-308.
4. ElMaraghy, H.A., Flexible and reconfigurable manufacturing systems paradigms. Special Issue of the Int. J. Flexible Mfg Systems, 2005, 17, 261-276.
5. ElMaraghy, H.A., Reconfigurable process plans for reconfigurable manufacturing. 3rd International CIRP Conference in Digital Enterprise Technology, Setúbal, Portugal, 18-20 September 2006 (Keynote paper).
6. ElMaraghy, H.A., Evolution and future perspective of CAPP. Annls CIRP, 1993, 42, 739-751.
7. Gu, P. and Norrie, D.H., Intelligent Manufacturing Planning, 1995 (Chapman, and Hall: London).
8. Herrera, F., Lozano, M. and Verdegay, J.L., Tackling real-coded genetic algorithms: operators and tools for behavioral analysis. Artif. Intell. Rev., 1998, 12, 265-319.
9. Holland, J., Adaptation in Natural and Artificial Systems, 1975 (University of Michigan Press: Ann Arbor, MI).
10. Kiritsis, D. and Porchet, M., A generic petri net model for dynamic process planning and sequence optimization. Adv. Engng Software, 1996, 25, 61-71.
11. Li, W.D., Ong, S.K. and Nee, A.Y.C., Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts. Int. J. Prod. Res., 2002, 40, 1899-1922.
12. Ling, C., Yip-Hoi, D. and Koren, Y., Hole pattern identification in gang spindle head design for reconfigurable machining systems. Proceedings of 2000 ASMT DET00: 26th Design Automation Conferences, Baltimore, Maryland, 2000a, pp. 25-32.
13. Ling, C., Yip-Hoi, D. and Koren, Y., Operation clustering in process planning for reconfigurable machining system design. Proceedings of the 2000 Japan-USA Flexible Automation Conference, Ann. Arbor, Michigan, 2000b, pp. 879-886.
14. Michalewicz, Z., Logan, T.D. and Swaminathan, S., Evolutionary operators for continuous convex parameter spaces. In Proceedings of the 3rd Annual International Conference on Evolutionary Programming, 1994, pp. 84-94.
15. Ong, S.K., Ding, J. and Nee, A.Y.C., Hybrid GA and SA dynamic set-up planning optimization. Int. J. Prod. Res., 2002, 40, 4697-4719.
16. Reddy, S.V.B., Shunmugam, M.S. and Narendran, T.T., Operation sequencing in CAPP using genetic algorithms. Int. J. Prod. Res., 1999, 37, 1063-1074.
17. Shabaka, A.I. and ElMaraghy, H.A., Matching products processing requirements and machine structure capabilities in RMS. 1st International Conference on Changeable, Agile, Reconfigurable and Virtual Production, Institute for Machine Tools and Industrial Management. Technical University of Munich (Technische Universität München), Garching, Germany, September 2005, pp. 22-23.
18. Shabaka, A.I. and ElMaraghy, H.A., Generation of machine configurations based on product features. Int. J. Comput. Integr. Mfg (Published Online on 26 July, 2006 DOI: 10.1080/09511920600740627).
19. Spicer, J.P., A design methodology for scalable machining systems. PhD Dissertation, University of Michigan, 2002.
20. Taiber, J.G., Optimization of process sequences considering prismatic workpieces, Adv. Eng. Softw., 1.996, 25, 41-50.
21. Tang, L., Yip-Hoi, D.M., Wang, W. and Koren, Y., Concurrent linebalancing, equipment, selection and throughput analysis for multi-part optimal line design. The Int. J. Mfg Sci. Prod., 2004, 6, 71-81.
22. Wiendahl, H.-P., ElMaraghy, H.A., Nyhuis, P., Zäh, M.F., Wiendahl, H.-H., Duffie, N. and Kolakowski, M., Changeable manufacturing - classification, design and operation. Annls CIRP, 2007, 56.
23. Youssef, A.M.A. and ElMaraghy, H.A., Modelling and optimization of multiple-aspect RMS configurations. Int. J. Prod. Res., Special Issue on Advances in Evolutionary Computation for Design and Manufacturing Problems, 2006, 44, 4929-4958.
24. Zhang, F., Zhang, Y.F. and Nee, A.Y.C., Using genetic algorithms in process planning for job shop machining. IEEE Trans On Evolutionary Comput., 1997, 1, 278-289.
25. Zhang, Y.F., Ma, G.H. and NEE, A.Y.C., Modeling process planning problems in an optimization perspective. Proceedings of the 1999 IEEE International Conference on Robotics & Automation. Detroit, Michigan, 1999, pp. 1764-1769.
26. Zhang, Y.F. and Nee, A.Y.C., Application of genetic algorithms and simulated annealing in process planning optimization. Computational Intelligence Manufacturing Handbook, edited by J. Wang and A. Kusiak, A., 2000 (CRC Press: USA).