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Fuzzy Logic Based Approach to Optimal Hydraulic Cylinders Assembly

机译:基于模糊逻辑的液压油缸总成优化方法

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The established tendency towards demassovization of production and its orientation to the customers' unique needs puts forward the demand for cost reduction by employing highly productive reconfigurable equipment and software to enable optimization. This paper presents a comparison of scenarios built on the application of the fuzzy logic approach in the Enterprise Resource Planning system of a small size production factory in Bulgaria in order to ensure optimal balancing of the workload of assembly-testing flow lines for hydraulic cylinders. A Sugeno fuzzy classifier is suggested for two scenarios to provide flexibility in directing cylinders with different specific parameters to proper lines. It is based on a classification scheme that considers possible overlapping of groups of hydraulic cylinders. The decision on the line assigned is made accounting also for the minimal cylinder delay time. The efficiency of the scenarios is assessed by simulation using a complex criterion that accounts for lines idle time and cylinders delay time.
机译:大规模生产的非趋势化趋势及其针对客户独特需求的趋势提出了通过采用高生产率的可重构设备和软件来实现优化以降低成本的需求。本文介绍了基于模糊逻辑方法在保加利亚一家小型生产工厂的企业资源计划系统中的应用场景的比较,以确保液压缸装配测试流水线的工作量达到最佳平衡。建议针对两种情况使用Sugeno模糊分类器,以灵活地将具有不同特定参数的圆柱体定向到正确的线。它基于考虑液压缸组可能重叠的分类方案。在分配的线路上的决定也考虑了最小的气缸延迟时间。通过使用复杂的标准进行仿真来评估方案的效率,该标准考虑了生产线的空闲时间和气缸延迟时间。

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