Batch sizes optimisation by means of queueing network decomposition and genetic algorithm

摘要: Batch sizes have a considerable impact on the performance of manufacturing process. Determining optimal values for batch helps to reduce inventories/costs and lead times. The deterministic nature available size optimisation models reduces practical value obtained solutions. Other focus only critical parts system (e.g., bottleneck). In this paper, we present an approach that overcomes important limitations such simplified We describe combination queueing network analysis genetic algorithm allows us take into account real characteristics when benefiting from efficient mechanism. are able demonstrate application our real-sized problem with 49 products obtain solution (values sizes) less than 4% relative deviation cycle time exact minimal value.