摘要
针对风电设备制造企业向服务型制造转型的问题,提出风电设备制造企业联合组建风电场维修服务基地,为风电场提供专业维修服务。在考虑了维修时间、运输时间、服务能力约束下,构建了数学模型优化维修队的调度方式,使维修成本最小。用遗传算法求解该模型,提出了基于风电场和维修队的混合非负整数分段编码方式,避免了遗传操作过程中非法解的产生,并用MATLAB编程进行实例求解,得到了满意的结果。
After considering the problem of transformation with the service manufacturing encountered by the manufacturing enterprises of wind power equipment, a theory has been developed in which the equipment manufacturers are associated with each other and provided maintenance service by an institution of service providing base. Within constrains of maintenance time, spare part transportation time and service capability, optimization about the service scheduling is introduced to minimize the repair cost. We use genetic algorithm to solve this problem and give a new hybrid coding method of genetic algorithm based on the specifics of wind power plants and the service team, This method has a good character, for its preclusion of illegal solutions in the process of genetic algorithm. The method' s adaptability is substantiated by introducing a case study including specific data from real manufacturers, plants and their service teams. At last, an excellent outcome of the case study is generated by programming in Matlab.
作者
刘洪伟
郑飞
杜文超
樊锐
LIU Hong-wei ZHENG Fei DU Wen-chao FAN Rui(School of Management and Econonics, Tianjin Univercity, Tianjin 300072, Chin)
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2016年第6期242-249,共8页
Operations Research and Management Science
基金
国家基础性科技工作专项(2012IM040500)
关键词
服务型制造
服务调度
调度模型
遗传算法
service manufacturing
service scheduling
scheduling model
genetic algor-ithms