冷柜门体混流装配线投产排序与物料配送问题研究

发布时间：2019-05-28 03:59

【摘要】：在市场竞争日益激烈的环境下,企业要想最大限度地利用现有资源,以较低的成本快速生产出客户所需要的产品,进而提升企业的核心竞争力。企业首要的任务就是要设计有效的混流装配生产系统,然后,以合理的方式管理系统的人员、资本和物料。为了实现这一目标,物料配送与预装线生产必需紧密配合。因此,对混流装配投产排序与物料配送问题进行集成研究具有重要的现实意义。本文以某冷柜公司门组车间门体生产系统为研究对象,研究混流装配线投产排序和物料配送问题。门组车间混流装配生产系统是一个复杂的系统,在混流生产情况下,以混流装配线投产排序指导混流装配线物料配送,而适时、适量的物料供应是混流装配生产正常运行的有效保障。为降低求解混流装配线投产排序与物料配送问题集成研究的复杂性,本文提出了混流装配线投产排序和物料配送问题两阶段求解方法。首先对冷柜门体预装生产线的投产排序问题进行研究。分析了混流装配线投产排序主要特点,在此基础上明确建模思路,以混流装配线上各种零部件的消耗速率均匀化和最大加工周期最短这二个目标函数建立多目标排序优化数学模型,并设计遗传算法对该模型进行求解,获得较优的排序结果。使得预装生产线产品按照一定的比例和序列进行排产,保持工作站线边各零部件消耗的稳定性,缩短制造周期。然后在实现混流装配线投产排序优化基础上,对混流装配线物料配送问题进行研究。分析了单工位直送和工位集零担配送模式,得到物料配送需求优化决策,以提高车辆配送满载率为目标建立了线边库存管理规划模型,并利用遗传算法工具箱求解该模型,获得物料配送作业中的物料配送清单。针对实际上线序列,以该配送清单为配送任务,就可以得到配送策略(直送还是工位集零担配送),从而提高车辆使用率。最后为验证本文所提出的方法的有效性,以该冷柜公司门体生产为背景,对混流生产投产排序和物料配送的实际问题作为案例进行分析,将混流装配线投产排序多目标模型及求解算法、及以提高车辆配送满载率为目标建立了线边库存管理规划模型及求解方法应用于公司的实际生产当中,验证了模型及算法在实际应用中的有效性。
[Abstract]:In the increasingly fierce market competition environment, enterprises want to make maximum use of existing resources to produce the products needed by customers at a lower cost, so as to enhance the core competitiveness of enterprises. The first task of an enterprise is to design an effective mixed-flow assembly production system, and then manage the personnel, capital and materials of the system in a reasonable manner. In order to achieve this goal, material distribution and pre-loading line production must be closely coordinated. Therefore, it is of great practical significance to study the integration of mixed flow assembly scheduling and material distribution. In this paper, the door body production system of the door group workshop of a freezer company is taken as the research object, and the scheduling and material distribution of the mixed flow assembly line are studied. The mixed flow assembly production system in the gate group workshop is a complex system. In the case of mixed flow production, the mixed flow assembly line is put into operation to guide the material distribution of the mixed flow assembly line, and timely, Proper material supply is an effective guarantee for the normal operation of mixed-flow assembly production. In order to reduce the complexity of solving the integration research of mixed flow assembly line production scheduling and material distribution problem, a two-stage method to solve the mixed flow assembly line production scheduling and material distribution problem is proposed in this paper. First of all, the production scheduling of freezer door body pre-loading production line is studied. The main characteristics of mixed flow assembly line commissioning and sequencing are analyzed, and on this basis, the modeling idea is clarified. The mathematical model of multi-objective sorting optimization is established by using the two objective functions of homogenization of consumption rate and shortest maximum machining period of various parts on the mixed flow assembly line, and the genetic algorithm is designed to solve the model, and the optimal sorting results are obtained. The products of the pre-installed production line can be arranged according to a certain proportion and sequence, the consumption stability of each part on the line side of the workstation can be maintained, and the manufacturing cycle can be shortened. Then, on the basis of optimizing the production and scheduling of mixed-flow assembly line, the material distribution problem of mixed-flow assembly line is studied. The distribution mode of single station direct delivery and station set zero load is analyzed, and the optimization decision of material distribution demand is obtained. in order to improve the full load rate of vehicle distribution, the line side inventory management planning model is established, and the model is solved by using genetic algorithm toolbox. Get the material distribution list in the material distribution operation. In view of the actual line sequence, the distribution strategy (direct delivery or station set zero load distribution) can be obtained by taking the distribution list as the distribution task, so as to improve the vehicle utilization rate. Finally, in order to verify the effectiveness of the method proposed in this paper, taking the door body production of the freezer company as the background, the practical problems of mixed flow production scheduling and material distribution are analyzed as a case study. The multi-objective model and solution algorithm of mixed flow assembly line are put into operation, and the line side inventory management planning model and solution method are established in order to improve the full load rate of vehicle distribution, and the solution method is applied to the actual production of the company. The effectiveness of the model and algorithm in practical application is verified.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB49

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