基于遗传算法的染色生产订单排序与节水研究

摘要

连续轧染生产过程中更换染色品种时产生的废水与订单排序直接相关.如果预先对订单进行合理排序,就可以将由于品种更换而造成的废水产生量降至最少.但是,订单的生产排序受交货时间、色系及颜色深浅、染色速度、生产时间等条件约束,目前企业普遍采取的人工排序很难实现对生产订单进行动态调整和优化.在构建基于水资源消耗最小化的染色生产订单排序问题的数学模型基础上,开发了基于遗传算法的染色生产订单智能优化排序系统.对某企业的研究结果表明,优化排序以后,节省了生产时间,减少了更换染色品种造成的清洗废水量,提高了该工序的清洁生产水平.%The continuous dyeing process generates a huge amount of wastewater due to the constant changing of dyeing materials. The quantity of wastewater was directly correlated with the order arrangement, so optimizing scheduling system of orders in advance could greatly reduce the wastewater consumption caused by the changes of dyeing materials. The order scheduling was restricted by the delivery time,color scheme and shade,dyeing time and so on,it is very difficult to dynamic adjusting and optimizing the production by manual operation. In order to minimize the water consumption,this study develops a genetic algorithm-based optimization system to schedule dyeing orders.The results showed that the optimized schedule of orders could save the production time,reduces the freshwater consumption and improved the cleaner production level of dyeing process.