业务主线约束型作业车间网络瓶颈分析

发布时间：2018-01-05 14:10

  本文关键词：业务主线约束型作业车间网络瓶颈分析　出处：《组合机床与自动化加工技术》2017年09期 　论文类型：期刊论文

  更多相关文章： 业务主线 网络分析法 瓶颈指数

【摘要】：瓶颈识别是制造单元生产管理与控制研究的基础和关键,直接影响系统的有效产出和企业的整体效益。针对复杂制造环境下瓶颈辨识困难这一问题,从制造系统复杂性与复杂网络相结合这一视角出发,提出一种基于网络分析法的车间网络瓶颈识别方法。根据设备工装、工艺路线、物流路径以及产品配置等多层次生产数据,建立业务主线约束型作业车间网络模型;采用以资源节点与连边、加工数量、资源负载等为参数的数据结构实现对资源的网络化映射;在考虑网络节点对待评估节点综合影响矩阵的基础上,结合待评估节点本身的局域重要性定义节点的瓶颈指数,克服了其他算法中瓶颈节点识别只依赖于邻接节点的不足。以某制造企业的装配车间的产品总装线为例,通过对比分析验证了该方法的可行性和有效性。
[Abstract]:Bottleneck identification is the key and foundation of production management and control of manufacturing unit, directly affect the system efficiency and the overall efficiency of enterprises. In order to solve the problem of complex manufacturing environment bottleneck identification difficult, from the complexity of manufacturing systems and complex networks by combining this perspective, proposed a workshop network bottleneck identification method of network analysis method based on equipment, process, logistics route and product configuration of multi-level production data, establish business line network constrained job shop model; using resource nodes and edges, the quantity of processing resources load data structure for the parameters of the network mapping of resources; evaluation in the treatment of fundamental matrix the comprehensive effect of nodes to be evaluated with consideration of the network node, the node itself local importance of the definition of node bottleneck index, overcomes the other algorithm in the bottle The identification of neck nodes only depends on the shortcomings of the adjacent nodes. The feasibility and effectiveness of the method are verified by comparative analysis with the assembly line of assembly workshop of a manufacturing enterprise as an example.

【作者单位】： 新疆大学机械工程学院;
【基金】：新疆维吾尔自治区自然科学基金(2014211A008)
【分类号】：TH16
【正文快照】： 0引言现代作业车间规模正变得越来越庞大,车间生产运作越来越复杂。制造系统中存在着众多因素形成的业务主线约束,影响着制造系统的执行,瓶颈[1]是控制制造单元有效产出和库存水平的关键,而瓶颈识别作为制造单元生产管理与控制研究的基础和关键,直接影响系统的有效产出和企业，

本文编号：1383449