风电装备企业服务型制造模型优化研究

发布时间：2018-12-12 04:03

【摘要】：我国的风电装备企业基础薄弱,创新能力不强,并且由于盲目扩大生产而陷入同质化竞争,影响风电装备企业的盈利能力。因此,加快风电装备企业的发展,提升风电装备企业的实力,对于优化我国能源结构具有重要意义。根据风电装备企业的发展现状与服务型制造的内涵,本文为风电装备企业设计了一条向服务型制造转型的路径,并针对当前阶段的实际状况,建立了一个服务调度优化模型,采用智能算法进行求解。首先,通过研究国内外服务型制造的文献成果,结合我国风电装备企业的现状与服务型制造的理论内涵,为风电装备企业设计了向服务型制造转型的路径。其次,结合风电装备企业现状,提出风电装备企业在转型初期的工作内容。具有一定实力的风电主机制造商联合相关企业,在风电场分布密集区域设立服务基地,基地内包含若干支服务队。服务基地负责服务需求信息的获取,并根据服务需求信息对服务队进行调度,服务队则根据服务需求及调度安排,为风电厂提供维护、维修及备品备件服务。再次,本文在考虑了维修时间、运输时间、运输费用、服务能力、服务需求约束下,构建了数学模型以优化服务队的调度,使服务队的服务效率最高。选择用遗传算法求解该模型,使用基于风电场和服务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。最后依据DF风电装备企业提供的数据作为实证分析的对象,用Matlab编程进行实例求解,得到了满意的结果,验证了模型的科学性和准确性。
[Abstract]:The foundation of wind power equipment enterprises in China is weak, the innovation ability is not strong, and because of blindly expanding production, they fall into homogeneous competition, which affects the profitability of wind power equipment enterprises. Therefore, speeding up the development of wind power equipment enterprises and enhancing the strength of wind power equipment enterprises is of great significance to optimize the energy structure of our country. According to the development status of wind power equipment enterprises and the connotation of service-oriented manufacturing, this paper designs a route for wind power equipment enterprises to transform to service-oriented manufacturing, and establishes a service scheduling optimization model in view of the actual situation in the current stage. Intelligent algorithm is used to solve the problem. Firstly, by studying the domestic and foreign literature achievements of service-oriented manufacturing, combining the current situation of wind power equipment enterprises in China and the theoretical connotation of service-oriented manufacturing, this paper designs the transition path to service-oriented manufacturing for wind power equipment enterprises. Secondly, according to the current situation of wind power equipment enterprises, put forward the work content of wind power equipment enterprises in the initial stage of transformation. Wind power mainframe manufacturers unite with related enterprises to set up service bases in the areas where wind farms are densely distributed, which includes several service teams. The service base is responsible for obtaining the service demand information and scheduling the service team according to the service demand information. The service team provides the maintenance, maintenance and spare parts service for the wind power plant according to the service demand and scheduling arrangement. Thirdly, under the constraints of maintenance time, transportation cost, service capacity and service demand, this paper constructs a mathematical model to optimize the scheduling of the service team, so that the service efficiency of the service team is the highest. The genetic algorithm is used to solve the model and the mixed nonnegative integer segment coding method based on wind farm and service team is used to avoid the illegal solution in the genetic operation process. Finally, according to the data provided by DF wind power equipment enterprises as the object of empirical analysis, Matlab programming is used to solve the case, and the satisfactory results are obtained, which verifies the scientific nature and accuracy of the model.
【学位授予单位】：天津大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：F426.61

【参考文献】