Reconfiguration Cost Analysis Based on PetriNet for Manufacturing System
Jie CHEN, Liangwei ZHANG, Jianqiang LUO
DOI: 10.4236/jsea.2009.25048   PDF        4,824 Downloads   8,760 Views   Citations


Nowadays, manufacturers are faced with severe challenges to response rapidly to changing demands and meet various customers’ needs with respect to production volume and product profile. Reconfigurable manufacturing paradigm was proposed as an advanced manufacturing philosophy to enhance the adaptability and flexibility of manufacturing sys-tems. By physical and logical reconfiguration, Reconfigurable Manufacturing System (RMS) is able to fulfil customers’ needs in a cost-effective way by making full use of the resources currently available. This paper focuses on studying of reconfiguration cost of such systems. In this paper, DEDS modelling method Petri Net is used to construct the model for reconfiguration process of RMS which includes physical reconfiguration cost factors and conjunction matrix is used to describe the production processes. By highlighting the differences in the process set before and after reconfiguration, the reconfiguration principles have been proposed to describe and guide the process of the manufacturing system re-configuration. The simulation example is given to prove the validation of the proposed model.

Share and Cite:

J. CHEN, L. ZHANG and J. LUO, "Reconfiguration Cost Analysis Based on PetriNet for Manufacturing System," Journal of Software Engineering and Applications, Vol. 2 No. 5, 2009, pp. 361-369. doi: 10.4236/jsea.2009.25048.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Y. koren, U. Heisel, T. Moriwaki, G. Pritchow, H. Van-Brussel, and G. Ulsoy, “A Reconfigurable Manufacturing Systems [C],” Annals of the CIRP, Vol. 48, No. 2, 1999.
[2] M. G. Mehrabi, A. G. Ulsoy, and Y. Korren, “Reconfigur-able manufacturing systems: Key to future manufacturing [J],” Journal of Intelligent Manufacturing, Vol. 11, pp. 403–419, 2000.
[3] C. E. Wang, “On the possibility of manufacturing system reconfiguration [J],” Computer Integrated Manufacturing System, Vol. 6, No. 4, pp. 1–5, 2000.
[4] F. J. Liang and R. X. Nin, “Reconfigurable Manufactur-ing System Theory [J],” Chinese Journal of Mechanical Engineering, Vol. 39, No. 6, pp. 36-43, 2003.
[5] H. M. Yuan, D. B. Li, M. J. Yu, and K. J. Zhou, “Research on evaluation system for reconfigurable manufacturing systems [J],” Chinese Mechanical Engineering, Vol. 18, No. 7, pp. 2050–2055, 2007.
[6] J. P. Dou, X. Z. Dai, and Z. D. MENG, “Configuration selection of reconfigurable manufacturing system based on hybrid analytical hierarchy process [J],” Computer In-tegrated Manufacturing System, Vol. 13, No. 7, pp. 1360–1366, 2007.
[7] Z. J. Wu, R. X. Nin, and A. M. Wang, “Grey Fuzzy Syn-thetically Evaluation Method for RMS Layout Planning [J],” Chinese Mechanical Engineering, Vol. 18, No. 19, pp. 2313–2317, 2007.
[8] F. F. de Lamotte, “Evaluation of reconfigurable manufac-turing systems configurations using tolerance criteria [J],” IEEE, pp. 3715–3720, 2006.
[9] R. Galan, J. Racero, I. Eguia, and D. Canca, “A method-ology for facilitating reconfiguration in manufacturing: the move towards reconfigurable manufacturing systems [J],” International Journal of Advanced Manufacturing Technology, Vol. 33, pp. 345–353, 2007.
[10] C. H. Kuo, “Resource allocation and performance evalua-tion of the reconfigurable manufacturing systems [C].” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 2452–2456, 2001.
[11] Y. T. Cai, X. D. Yang, and X. M. Yan, “Reconfiguration Algorithm for Reconfigurable Manufacturing System [J],” Journal of Computer Aided Design and Graphics, Vol. 15, No. 2, pp. 162–173, 2003.
[12] F. Wang and D. Xu, et al., “Petri NET modeling and Ana-lyzing for RMS [J],” Controlling and Decision Making, Vol. 20, No. 6, 2005.
[13] R. Kumar, S. Kumar, and M. K. Tiwari, “An expert en-hanced colored fuzzy Petri net approach to reconfigurable manufacturing systems involving information delays [J],” International Journal of Advanced Manufacturing Tech-nology, Vol. 26, pp. 922–933, 2005.
[14] A. M. Deif and W. ElMaraghy, “Effect of reconfiguration costs on planning for capacity scalability in reconfigur-able manufacturing systems [J],” International Journal of Flexible Manufacturing System, Vol. 18, pp. 225–238, 2006.
[15] F. J. Liang and R. X. Nin, “Cost model for reconfigurable manufacturing system [J],” Chinese Mechanical Engi-neering, Vol. 14, No. 23, pp. 2023–2028, 2003.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.