混流生产线批量流及操作人员配置的优化研究

发布时间：2018-03-05 23:19

本文选题：混流生产线　切入点：批量流　出处：《吉林大学》2017年硕士论文　论文类型：学位论文

【摘要】：本文主要研究的是混流生产线的作业批量和人员优化配置问题。混流生产线是在实际生产中应用比较广泛的生产线,具有较大的代表性。本文从某制造企业的生产实际出发,针对混流生产线现存的问题进行深入分析,建立混流生产线批量流数学模型,优化了作业批量;同时,从操作人员的胜任力和操作人员技能培训的角度出发,对操作人员进行了优化配置。在混流生产线的批量流优化方面:首先,抽象出理论数学模型;根据所建立的数学模型,采用Lingo软件进行了验证。在算法求解中,选用人工蜂群算法,改进编码方式,提出8种变换解的方式;其次,提出离散人工蜂群算法,并将离散人工蜂群算法与变邻域算法、离散差分进化算法进行比较,验证了算法的有效性;最后,将该算法用于求解混流生产线的作业批量及顺序,得出特定停止条件下的结果。数据表明,优化后产品总加工时间减少了8.08%,该算法快捷有效。在操作人员的优化配置方面:首先,从操作人员的胜任力和操作人员技能培训的角度出发,以最大化整条生产线的胜任力指数和最小化总的技能培训成本为目标,建立了多目标的优化模型对操作人员进行配置;其次,根据实际生产,选定员工技能等级、工序时间等因素,对胜任力进行评价;最后,根据实际混流生产线操作人员与工位的对应情况,采用穷举法和变邻域算法对操作人员进行了优化配置。通过对比分析可知,对批量流及操作人员的改善与优化,有利于混流生产线生产效率的提高,可以有效地保证各工序的生产质量,同时,对于员工满意度的提高也有很大益处。
[Abstract]:In this paper, we mainly study the problem of batch and personnel optimization of mixed-flow production line, which is a widely used production line in actual production and has a large representation. This paper starts from the production practice of a manufacturing enterprise. In view of the existing problems of mixed-flow production line, the mathematical model of batch flow of mixed-flow production line is established, and the batch operation is optimized. At the same time, from the point of view of competence of operator and skill training of operator, the mathematical model of batch flow of mixed-flow production line is established. In the aspect of batch flow optimization of mixed-flow production line, firstly, the theoretical mathematical model is abstracted. According to the established mathematical model, Lingo software is used to verify the algorithm. The artificial bee colony algorithm is selected to improve the coding method, and eight transformation solutions are proposed. Secondly, the discrete artificial bee colony algorithm is proposed, and the discrete artificial bee colony algorithm is compared with the variable neighborhood algorithm and the discrete differential evolution algorithm. The validity of the algorithm is verified. Finally, the algorithm is used to solve the batch and order of the mixed flow production line, and the results under the specific stop condition are obtained. After optimization, the total processing time of the product is reduced by 8.08, and the algorithm is fast and effective. In terms of the optimal configuration of the operator: first, from the point of view of the competence of the operator and the skill training of the operator, In order to maximize the competency index of the whole production line and minimize the total skill training cost, a multi-objective optimization model is established to configure the operators. Secondly, according to the actual production, the employee skill level is selected. Finally, according to the corresponding situation of the operator and the working station of the actual mixed-flow production line, the exhaustive method and the variable neighborhood algorithm are used to optimize the configuration of the operator. The improvement and optimization of batch flow and operator is beneficial to the improvement of production efficiency of mixed-flow production line, which can effectively guarantee the production quality of each process, and also benefit the improvement of employee satisfaction.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TB497

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