摘要
针对风力机轮毂装配工序的质量控制问题,结合多品种小批量生产模式的特点,提出了一种面向定位布置的轮毂装配关键工序识别与监控的方法。综合考虑轮毂装配生产中的成本因素及相对质量损失,制定装配工序的质量特性损失标准,采用改进的质量损失函数识别轮毂装配关键工序;为解决统计过程控制(SPC)方法应用于小批量生产模式的瓶颈,引入基于直觉模糊集的工序相似性分析与评定方法,通过分析工序相似性的影响因素,构建轮毂装配成组工序相似性评判指标体系及评定模型,完成工序相似性的测度。最终使用SPC方法监控管理轮毂装配关键工序,确保轮毂的装配质量。该研究为小批量生产模式中运用SPC方法管理过程质量提供了理论依据。
Aiming at the quality control problem of wind turbine hub assembly process, a method is put forward that identifies and monitors the key process of hub assembly oriented to positioning, according to the characteristics of multivariety small batch production mode. Considering the cost and relative quality loss in the assembly production of the wheel hub, the quality characteristic loss standard of the assembly process is proposed, and the improved Taguchi quality loss function adopted to identify the key process of the hub assembly. In order to solve the bottleneck of statistical process control (SPC) method applied to small batch production mode, the process similarity analysis and evaluation method is introduced based on intuitionistic fuzzy set, which means that by analyzing the influencing factors of process similarity, this method aims to establish a similarity evaluation index system and an evaluation model for the hub group process, which complete the measure of process similarity. Finally, the SPC method is used to monitor and manage the key processes of the hub assembly to ensure the assembly quality of the hub. This study provides a theoretical basis for the use of SPC methods to manage process quality in small batch production models.
作者
郑玉巧
张铖铖
马辉东
张璐
ZHENG Yuqiao;ZHANG Chengcheng;MA Huidong;ZHANG Lu(School of Mechanical & Elrctrical Engineering,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《工业工程》
北大核心
2019年第3期37-43,共7页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(51565028)
兰州市人才创新创业资助项目(2018-RC-25)
关键词
关键工序
质量损失函数
多品种小批量
直觉模糊集
相似工序
统计过程控制(SPC)
key process
Taguchi quality loss function
multi-variety and small batch
intuitionistic fuzzy set
similar process
statistical process control (SPC)
