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Optmization Scheme Rsearce On Training Of The Metro Deivers In Changsha Rail Transit Operation Co.,Ltd

Posted on:2019-10-27Degree:MasterType:Thesis
Country:ChinaCandidate:M ZhengFull Text:PDF
GTID:2439330578968019Subject:Business administration
Abstract/Summary:PDF Full Text Request
Enterprise training can help enterprises cultivate high-quality,high-skilled and high-efficiency talents,which has a certain effect on enhancing the competitiveness of enterprises.According to the professional requirements of metro drivers,strengthen the training of metro drivers,design a full range of training content.It can improve the professional skills,organization,discipline and physical ability of subway electric metro drivers.So strengthen the training of metro drivers is very important.This article taking the metro drivers training of Changsha Metro Group Co.,Ltd as the research object,investigates the current situation of metro drivers training by using questionnaire method.To understand and grasp the current situation of the company's metro drivers training,we could found out the problems in the training process,such as the metro drivers have insufficient understanding of the importance of training,training methods are relatively simple,training is poor management.Then,aiming at the existing problems,by the analysis of Changsha rail transit operation co.,ltd.metro driver training courses and influencing factors.This paper explores the training strategies from four aspects: improving the learning ability of metro drivers,deepening the understanding of training,improving the training program,improving the mechanism of assessment.The metro drivers training of Changsha Metro Group Co.,Ltd is still a relatively new field and in the exploration stage.This research serve as a trigger for improving the efficiency of metro drivers,and enhance the competitiveness of enterprises to provide theoretical and practical reference.
Keywords/Search Tags:Enterprise Training, Metro Group, Questionnaire Method, Metro Drivers, Strategies
PDF Full Text Request
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