On June 29, 2021, Zhu Guangming and Hao Xiaodong of the company's quality management department participated in the selection of the national railway industry excellent quality management group organized by China Academy of Railway Sciences Group Co., Ltd. (hereinafter referred to as "Academy of Railway Sciences") on behalf of the company. won the second place and was rated as the excellent quality management group of the railway industry.
The recommendation and evaluation of the excellent quality management team of the railway industry was initiated by the China Railway Enterprise Management Association, and was publicly evaluated within the scope of various railway bureau group limited companies, various professional transportation companies, the Academy of Railway Sciences, China Railway Design Group, China Railway, China Railway Construction, China Railway Corporation, China Railway Materials Co., Ltd., and China Railway Communication and Signal Group Corporation. In addition to the selection and recommendation of the national excellent quality management team, at the same time produce the national quality trust team.
The company recommended by the quality management department Wang Yanping, Zhu Guangming and other 8 employees of the EMU axle intelligent detection QC team (hereinafter referred to as the "intelligent detection team"), participated in the national excellent quality management team evaluation. When completing the "Research on Improving Quality and Efficiency of EMU Axle Detection", the intelligent detection team analyzed the current situation from many aspects such as human, machine, material, method and environment. After 8 links including topic selection, current situation investigation, target setting, feasibility analysis, plan setting, countermeasures and implementation, effect evaluation, summary and prospect, the intelligent detection team completed the research on improving quality and efficiency of EMU axle detection. The intelligent inspection team independently developed the EMU axle standard check block, realized the wireless transmission of measuring tools and the on-machine inspection of axle manufacturing, and finally analyzed the quality data through SPC. The research results are of positive significance for optimizing the original testing process and improving the company's quality management level.
The good results achieved by the intelligent inspection team in the evaluation of the excellent quality management team of the national railway industry held within the Group of the Academy of Railway Sciences are the recognition of the company's quality management level by the Academy of Railway Sciences and the affirmation of the company's quality management level by the railway industry.