Citations

• Diomidis Spinellis, Chrissoleon Papadopoulos, and Jim MacGregor Smith. Large production line optimization using simulated annealing. International Journal of Production Research, 38(3):509–541, February 2000. (doi:10.1080/002075400189284)

• Kenichi Futamura. The multiple server effect: Optimal allocation of servers to stations with different service-time distributions in tandem queueing networks. Annals of Operations Research, 93:71–90, 2000. (doi:10.1023/A:1018948512499)

• Stefan Helber. Cash-flow oriented buffer allocation in stochastic flow lines. International Journal of Production Research, 39:3061–3083, 2001. (doi:10.1080/00207540110056144)

• H. Tempelmeier. Practical considerations in the optimization of flow production systems. International Journal of Production Research, 41(1):149–170, 2003. (doi:10.1080/00207540210161641)

• H. Tempelmeier. Simultaneous buffer and workload optimization for aysnchronous flow production systems. In Fourth Aegean International Conference on the Analysis and Modelling of Manufacturing Systems, pages 31–39. University of the Aegean, 2003.

• J. MacGregor Smith and F. R. B. Cruz. The buffer allocation problem for general finite buffer queueing networks. IIE Transactions on Design and Manufacturing, pages 343–365, 2004. (doi:10.1080/07408170590916986)

• M.H. Firooz, K. Ronasi, M.R. Pakravan, and A.N. Avanaki. IPROMISE: Reliable multi-sender algorithm for peer-to-peer networks. In Proceedings of the 2007 2nd International Conference on Communication System Software and Middleware and Workshops, COMSWARE 2007, 2007. (doi:10.1109/COMSWA.2007.382553)

• A.Q. Jaber, R. Ramli, and Y. Hidehiko. Genetic algorithms for buffer size and work stations capacity in serial-parallel production lines. In Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07, pages 513–516, 2007.

• H. Orsila, T. Kangas, E. Salminen, T.D. Hämäläinen, and M. Hännikäinen. Automated memory-aware application distribution for multi-processor system-on-chips. Journal of Systems Architecture, 53(11):795–815, 2007. (doi:10.1016/j.sysarc.2007.01.013)

• J.E.A. Qudeiri, M.A. Jamali, and H. Yamamoto. Buffer size decision for the flexible transfer line with rework paths using genetic algorithms. In Proceedings — ICSSSM'06: 2006 International Conference on Service Systems and Service Management, pages 210–215, 2007. (doi:10.1109/ICSSSM.2006.320614)

• T. Van Woensel and N. Vandaele. Modeling traffic flows with queueing models: A review. Asia-Pacific Journal of Operational Research, 24(4):435–461, 2007. (doi:10.1142/S0217595907001383)

• J. Abu Qudeiri, H. Yamamoto, R. Ramli, and A. Jamali. Genetic algorithm for buffer size and work station capacity in serial-parallel production lines. Artificial Life and Robotics, 12(1-2):102–106, 2008. (doi:10.1007/s10015-007-0449-5)

• B. Can, A. Beham, and C. Heavey. A comparative study of genetic algorithm components in simulation-based optimisation. In Winter Simulation Conference, pages 1829–1837, 2008. (doi:10.1109/WSC.2008.4736272)

• F.R.B. Cruz, A.R. Duarte, and T. van Woensel. Buffer allocation in general single-server queueing networks. Computers and Operations Research, 35(11):3581–3598, 2008. (doi:10.1016/j.cor.2007.03.004)

• H. Chehade, F. Yalaoui, L. Amodeo, and P. De Guglielmo. Multi-objective optimization problem for the dimensioning of buffers. Journal of Decision Systems, 18(2):257–287, 2009. (doi:10.3166/jds.18.257-287)

• M.T. Cheung and Z. Liao. Investing in real-world equity markets with an AHP-based decision framework. Journal of Decision Systems, 18(2):149–163, 2009. (doi:10.3166/jds.18.149-163)

• H.A. Vergara and D.S. Kim. A new method for the placement of buffers in serial production lines. International Journal of Production Research, 47(16):4437–4456, 2009. (doi:10.1080/00207540801939022)

• R. Andriansyah, T. Van Woensel, F.R.B. Cruz, and L. Duczmal. Performance optimization of open zero-buffer multi-server queueing networks. Computers and Operations Research, 37(8):1472–1487, 2010. (doi:10.1016/j.cor.2009.11.004)

• H. Chehade, F. Yalaoui, L. Amodeo, and F. Dugardin. Buffers sizing in assembly lines using a lorenz multiobjective ant colony optimization algorithm. In 2010 International Conference on Machine and Web Intelligence, ICMWI 2010 - Proceedings, pages 283–287, 2010. (doi:10.1109/ICMWI.2010.5647916)

• B. Das, A. Garcia-Diaz, C.A. MacDonald, and K.K. Ghoshal. A computer simulation approach to evaluating bowl versus inverted bowl assembly line arrangement with variable operation times. International Journal of Advanced Manufacturing Technology, 51(1-4):15–24, 2010. (doi:10.1007/s00170-010-2614-6)

• B. Das, J.M. Sanchez-Rivas, A. Garcia-Diaz, and C.A. MacDonald. A computer simulation approach to evaluating assembly line balancing with variable operation times. Journal of Manufacturing Technology Management, 21(7):872–887, 2010. (doi:10.1108/17410381011077964)

• J.M. Smith, F.R.B. Cruz, and T. Van Woensel. Optimal server allocation in general, finite, multi-server queueing networks. Applied Stochastic Models in Business and Industry, 26(6):705–736, 2010. (doi:10.1002/asmb.813)

• K.R. Al-Momani and J.E.A. Qudeiri. Modelling of parallel production system with rework paths and its GA based simulator for optimal design. International Journal of Manufacturing Technology and Management, 23(1-2):69–81, 2011. (doi:10.1504/IJMTM.2011.042109)

Unless otherwise expressly stated, all original material on this page created by Diomidis Spinellis is licensed under a Creative Commons Attribution-Share Alike 3.0 Greece License.