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By the 1980s, the global economic environment has changed, resulting in industrial restructuring and even relocation factories, and the domestic employment market has an oversupply dilemma, and the structural unemployment problem appears at this time.
Since 2005, according to the Executive Yuan's "agenda for development services and programs of action < 2004-2008 > “for "training service industry development measures “in the provision, in order to establish our training industry quality certification system，namely the status of " talent development Quality Management System (Taiwan Train Quality System, referred TTQS) combined civil training institutions , to ensure the reliability and accuracy of the training process.
This evaluation system reference to an earlier national human vocational training policy of Britain LIP, Switzerland ISO10015, Europe and Australia, etc., to develop a suitable part of the evaluation system for the current assessment system PDDRO, which implies 19 check evaluation indicators.
The status is the global talent cultivation program and government policies to nurture talent guidance to the intelligence, Internet of Things, intelligent robots, big data and Productivity 4.0 and other issues with the project plan.
Through observation, evaluation and analysis of the existing industry association,
which has been made with intelligence and networking technology to operate training courses, the relevance of TTQS evaluation system for the performance of its operations.
This study discussion on four points:
1.Specifications, application process and related specifications.
2.Examine the government to promote TTQS nearly 10 years, the understanding and acceptance for people outside the non- evaluation unit level.
3.In this study B Company have improvement in efficiency and operational performance of internal governance.
4.Series of B Company to" intelligence and networking technology talent class" under government unchanged policy to be sustainable.
Keywords: TTQS, TTQS training institutions Edition, RFID, and smart things, productivity 4.0, abstract.
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