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基于反馈控制的车用空调装配车间动态调度方法
引用本文:尹超,李涛,刘飞,尹胜. 基于反馈控制的车用空调装配车间动态调度方法[J]. 重庆大学学报(自然科学版), 2011, 34(10): 8-14
作者姓名:尹超  李涛  刘飞  尹胜
作者单位:重庆大学机械传动国家重点实验室,重庆400044;重庆大学机械传动国家重点实验室,重庆400044;重庆大学机械传动国家重点实验室,重庆400044;重庆大学机械传动国家重点实验室,重庆400044
基金项目:国家自然科学基金资助项目(50775228); 国家863/CIMS课题资助项目(2007AA040701)
摘    要:为了有效解决不确定性环境下车用空调装配车间动态调度问题,通过分析固有不确定性、离散不确定性、外部环境不确定性等影响因素,制订了基于双反馈控制的信息反馈机制,在此基础上提出了一种车用空调装配车间动态调度方法,并综合考虑可重入约束、设备能力约束、时间离散化约束等,建立了以提前或延期惩罚、完工时间、加工成本和质量损失为优化目标的车用空调装配车间多目标调度模型。针对模型特点设计了分段染色体编码方式、交叉算子和变异算子,防止遗传操作过程中非法解的产生,提高了求解效率。最后以实际应用案例验证了方法的有效性与实用性。

关 键 词:车用空调  装配车间  反馈控制  调度  遗传算法

Dynamic scheduling method of vehicle air-conditioning assembly shop based on feedback control
YIN Chao,LI Tao,LIU Fei and YIN Sheng. Dynamic scheduling method of vehicle air-conditioning assembly shop based on feedback control[J]. Journal of Chongqing University(Natural Science Edition), 2011, 34(10): 8-14
Authors:YIN Chao  LI Tao  LIU Fei  YIN Sheng
Affiliation:State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P.R.China;State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P.R.China;State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P.R.China;State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P.R.China
Abstract:By analyzing the inherent uncertainties, discrete uncertainties and external environmental uncertainties, a dual-feedback control strategy and the dynamic scheduling method are proposed to solve the dynamic scheduling problem of vehicle air-conditioning assembly shop under uncertainty. Considering the reentrant constraint, equipment capacity constraint, and time discrete constraint etc., the multi-objective scheduling model of vehicle air-conditioning assembly shop is set up,taken the earliness/tardiness, process time, production cost and quality loss as optimization objectives. According to the characteristic of the model, sectional chromosome encoding, crossover operator and mutation operator are designed to prevent the generation of illegal solutions and improve efficiency of the algorithm. An example is given to prove the feasibility and validity of the approach.
Keywords:vehicle air-conditioning   assembly shop   feedback control   scheduling   genetic algorithms
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