Real-time scheduling for holonic manufacturing systems based on estimation of future status

International Journal of Production Research

Volumn 44, Issue 18-19, 2006, Pages 3657-3675

  Iwamura, K ^a   Okubo, N ^a   Tanimizu, Y ^a   Sugimura, N ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

Estimation of future status; Holonic manufacturing systems; Neural network; Real time scheduling

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; INTERNATIONAL COOPERATION; MATHEMATICAL MODELS; NEURAL NETWORKS; SCHEDULING;

ESTIMATION OF FUTURE STATUS; HOLONIC MANUFACTURING SYSTEMS; REAL-TIME SCHEDULING;

PRODUCTION CONTROL;

EID: 33746839203     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540600847129     Document Type: Conference Paper

References (17)

1. Babiceanu, R., Chen, F. and Sturges, R., Real-time holonic scheduling of material handling operations in a dynamic manufacturing environment. Robot. Comput. Integr. Mfg, 2005, 21, 328-337.
2. Bizuela, C. and Sannomiya, N., A diversity study in genetic algorithms for job shop scheduling problems. Proceedings of the Genetic and Evolutionary Computation Conference, Orlando, Florida, 1999, 1, 75-82.
3. Demuth, H. and Beale, M., Neural Network Toolbox For Use with MATLAB User's Guide, pp. 5-4-5-27, 2001 (The Math Works: Natick, Massachusetts).
4. Fujii, S., Kaihara, T., Utsunomiya, T. and Sashio, K., A study on self-organization functions for agile manufacturing in square arrayed machining centers. Proceedings of 2004 Japan-USA Symposium on Flexible Automation, Denver, Colorado, 2004. CD-ROM.
5. Hosoi, T., Fujii, N., Hatono, I. and Ueda, K., Lineless assembling system using self-organization. Proceedings of 2002 Japan-USA Symposium on Flexible Automation, Hiroshima, Japan, 2002, CD-ROM.
6. International Standards Organization, ISO 10303, Industrial automation systems and integration - Product data representation and exchange, 1994 (ISO: Geneva).
7. International Standards Organization, ISO 14649 Industrial automation systems and integration: Physical device control: Data model for computerized numerical control, 2001 (ISO: Geneva).
8. Iwamura, K., Tanimizu, Y. and Sugimura, N., Real-time scheduling for holonic manufacturing system -coordination among holons using effectiveness values. Proceedings of the 17th International Conference on Production Research, Blacksburg, Virginia, 2003. CD-ROM.
9. Iwamura, K., Morishita, Y., Tanimizu, Y. and Sugimura, N., A study on a real-time scheduling for holonic manufacturing system: a decision making based on estimation of future status of holons. Proceedings of 2004 Japan-USA Symposium on Flexible Automation, Denver, Colorado, 2004. CD-ROM.
10. Iwata, K., Onosato, M. and Koike, M., Random manufacturing system: a new concept of manufacturing systems for production to order. Annls CIRP, 1994, 43, 379-384.
11. Shin, J. and Cho, H., Planning and sequencing heuristics for feature-based control of holonic machining equipment. Int. J. Flex. Mfg. Sys., 2001, 13, 49-70.
12. Sugimura, N., Moriwaki, T., Hozumi, K. and Shinohara, Y., Modeling of holonic manufacturing system and its application to real-time scheduling. Mfg. Sys., 1996, 25, 345-352.
13. Sugimura, N., Hino, R. and Moriwaki, T., Integrated process planning and scheduling in holonic manufacturing systems. Proceedings of the 2001 IEEE International Symposium on Assembly and Task Planning, Fukoka, Japan, 2001, pp. 250-255.
14. Ueda, K. and Ohkura, K., A biological approach to complexity in manufacturing systems. Proceedings of the 27th CIRP Internatoinal Seminar on Manufacturing Systems, 1995, pp. 69-78.
15. Wullink, G., Giebels, M. and Kals, H., A system architecture for holonic manufacturing planning and control (EtoPlan). Robot. Comput. Integr. Mfg., 2002, 18, 313-318.
16. Wyns, J., Brussel, H., Valckenaers, P. and Bongaerts, L., Workstation architecture in holonic manufacturing systems. Proceedings of the 28th CIRP International Seminar on Manufacturing Systems, 1996, pp. 220-231.
17. Zhang, J., Gao, L., Chan, F. and Li, P., A holonic architecture of the concurrent integrated process planning system. J. Mater. Process. Technol., 2003, 139, 267-272.