caa a22 4500 475798465 CHVBK 20180406123731.0 cr unu---uuuuu 170329e20000201xx s 000 0 eng 10.1007/s001700050031 doi (NATIONALLICENCE)springer-10.1007/s001700050031 Optimising an Assembly Line Through Simulation Augmented by Genetic Algorithms [Elektronische Daten] [S. G. Lee, L. P. Khoo, X. F. Yin] : In the paper, the influence of the size of the population, the crossover probability, the mutation probability and the number of elite chromosomes on the performance of the genetic algorithm are discussed. The results of the analysis of line through-put revealed that the line is well-balanced, and that some machines can work at a slower rate without compromising the maximum expected throughput. In addition, it was found that machine speed is not a determinant of optimum throughput. It was established that machine utilisation can be improved by another 4.3%, indicating that the machines were already well used. On the other hand, tardiness was improved by 23% by slowing down the arrival of the compressor blocks. Springer-Verlag London Limited, 2000 Key words: Crossover nationallicence Mutation nationallicence Genetic algorithm nationallicence Elite chromosomes nationallicence Lee S. G. School of Mechanical and Production Engineering, Nanyang Technological University, Nanyang, Singapore, SG aut Khoo L. P. School of Mechanical and Production Engineering, Nanyang Technological University, Nanyang, Singapore, SG aut Yin X. F. School of Mechanical and Production Engineering, Nanyang Technological University, Nanyang, Singapore, SG aut https://doi.org/10.1007/s001700050031 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001700050031 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee S. G. School of Mechanical and Production Engineering, Nanyang Technological University, Nanyang, Singapore, SG aut NATIONALLICENCE 700 1- Khoo L. P. School of Mechanical and Production Engineering, Nanyang Technological University, Nanyang, Singapore, SG aut NATIONALLICENCE 700 1- Yin X. F. School of Mechanical and Production Engineering, Nanyang Technological University, Nanyang, Singapore, SG aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer