基于混合遗传算法的染缸在线动态排产方法  

Online dynamic scheduling method for dyeing machine based on hybrid genetic algorithm

作　　者：张福沐 刘端武 卢勇 张弛 胡跃明[1] ZHANG Fumu;LIU Duanwu;LU Yong;ZHANG Chi;HU Yueming(College of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,China;Engineering Technology Research Center,Guangdong Textile Printing and Dyeing Intelligent Plant,Foshan 528222,China;Foshan Nanhai Tianfu Technology Co.,Ltd.,Foshan 528222,China;Guangdong Polytechnic of Scienceand Trade,Qingyuan 511500,China)

机构地区：[1]华南理工大学自动化科学与工程学院,广东广州510640 [2]广东省纺织印染智能工厂工程技术研究中心,广东佛山528222 [3]佛山市南海天富科技有限公司,广东佛山528222 [4]广东科贸职业学院,广东清远511500

出　　处：《印染》2024年第5期69-74,共6页China Dyeing and Finishing

摘　　要：针对因染缸故障、生产不良、缺料等原因导致染色生产不能按排产计划执行时,排产系统不能在线动态调整的问题,提出基于混合遗传算法的染缸在线动态排产方法,设计了在线动态排产控制系统。该在线动态排产模型加入了小概率规则约束,综合考虑了染缸切换时间、载量匹配、污染物排放量、客户重要性和交期等因素,循环读取最新的生产信息进行在线动态排产。通过染整厂实例验证,该方法调整生产计划及时,染缸利用率高,能够更好地满足产品的交期和减少污染物的排放。In order to solve the problem that the system cannot adjust the dyeing production scheduling plan online when the dyeing production of dyeing machine cannot be executed according to the production schedul⁃ing plan due to machine failure,poor production and material shortage,an online dynamic production schedul⁃ing method for dyeing cylinder based on genetic algorithm is proposed.This model incorporates small probabili⁃ty rule constraints and comprehensively considers factors such as dye tank switching time,load matching,pol⁃lutant emissions,customer importance and delivery time,and circularly reads the latest production information for online production scheduling.Through an example verification of a dyeing mill,the method can adjust the production plan in time,the utilization rate of dyeing machine is high,and it can better meet the delivery dates of products and reduce the emission of pollutants.

关 键 词：染色 动态排产 小概率约束 遗传算法 适应度 

分 类 号：TS193.6[轻工技术与工程—纺织化学与染整工程] TP273[轻工技术与工程—纺织科学与工程] TP391.8[自动化与计算机技术—检测技术与自动化装置]