智能制造背景下产业工人终身技能培训体系优化研究OA

By integrating digitalization,networking and intelligence,intelligent manufacturing is reshaping production paradigms and raising the bar for industrial workers'competencies.The skill level of these workers directly determines the success of intelligent transformation,making the optimization of a lifelong skills-training system a prerequisite for high-quality manufacturing development.At present,China's training system still has deficiencies in aspects such as curriculum updates in colleges and universities,incentives for corporate investment in training,evaluation criteria for intelligent positions,and cross-position cultivation mechanisms.Grounded in systems theory,this paper analyses the internal logic of knowledge continuity,skill inheritance and comprehensive ability development,and draws on leading domestic enterprises'practices.Optimization should attack four intertwined dimensions including training contents,investment incentives,evaluation criteria and synergy mechanisms,through dynamic curriculum updating,differentiated incentive policies,refined job-evaluation standards and a multi-stakeholder collaborative framework,thereby upgrading the lifelong skills training system for industrial workers and supplying strong talent support for high-quality manufacturing.