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作 者:谢旺[1] 袁逸萍[1] 李晓娟[1] 李华华[1]
出 处:《组合机床与自动化加工技术》2017年第8期64-67,72,共5页Modular Machine Tool & Automatic Manufacturing Technique
基 金:国家自然科学基金(51365054);新疆维吾尔自治区自然科学基金(2014211A008)
摘 要:复杂生产过程中受不确定性扰动因素的作用不可避免的会导致作业车间资源的退化、故障以及失效,针对故障资源修复顺序对多资源耦合的复杂生产系统性能(如交货期、生产成本等)的影响,引入复杂网络理论构建复杂生产作业车间网络模型,对生产特性和网络拓扑特性进行深入研究,对资源的故障修复进行紧迫性分级。综合考虑影响故障修复紧迫性的三个因素:是否发生在关键路径上、不可替代程度、故障节点的网络重要度,采用模糊综合评判的方法,将故障节点分为紧急、严重和一般三个层次,并计算出具体的紧迫度值。该模型为故障修复策略提供新的视角,为科学决策修复顺序提供理论依据。最后通过仿真实例验证了该方法的可行性。Due to the effect of uncertainty disturbance factors, it is inevitable that some job shop resources in complex production manufacturing process will be degradation, failure and even invalidation. Aim for the failure repair sequence effects complex manufacturing system performance of multi resource coupling such as delivery date and production costs. Introduce complex network theory to construct complex job shop produc- tion network model, analyzing the production characteristics and the network topology characteristics deeply, classifying the repair urgency of failure resource. Considering the effect of three factors for fault repair ur- gency : whether it occurs in the critical path, degree of substitution and the importance of node failures in the network, using fuzzy comprehensive evaluation method, fault nodes into three level as urgent, serious and general. This model provided a new perspective for fault repair' strategy and provided a basis theoretical for scientific decision repair sequence. Finally, case study validates the feasibility and effectiveness of the pro- posed method.
关 键 词:复杂生产过程 故障修复 紧迫性分级 模糊综合评判
分 类 号:TH166[机械工程—机械制造及自动化] TG506[金属学及工艺—金属切削加工及机床]
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