设计个性化培训计划以支持工业5.0中人员技能提升的方法框架

IF 2.6 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers Pub Date : 2023-11-02 DOI:10.3390/computers12110224
Francisco Fraile, Foivos Psarommatis, Faustino Alarcón, Jordi Joan
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引用次数: 0

摘要

工业5.0强调社会的可持续性,并强调对人员技能提升和再培训的迫切需求,以实现人类专业知识和先进技术的无缝集成。本文提出了一个设计个性化培训计划的方法框架,以支持人员提高技能,目标是在快速变化的工业环境中培养灵活性和弹性。拟议的框架包括七个阶段:(1)与现有系统集成,(2)数据收集,(3)数据准备,(4)技能模型提取,(5)技能和资格评估,(6)培训计划建议,(7)评估和持续改进。通过利用大型语言模型(llm)和以人为本的原则,我们的方法可以创建量身定制的培训计划,帮助组织促进主动学习的文化。因此,这项工作有助于人力资源的可持续发展,促进获得高质量培训的机会,并促进人员的福祉和满意度。通过一个食品加工用例,本文演示了该方法如何帮助组织识别技能差距和提升技能的机会,并利用这些见解来推动工业5.0中的人员技能提升。
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A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0
Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for designing personalised training programs that support personnel upskilling, with the goal of fostering flexibility and resilience amid rapid changes in the industrial landscape. The proposed framework encompasses seven stages: (1) Integration with Existing Systems, (2) Data Collection, (3) Data Preparation, (4) Skills-Models Extraction, (5) Assessment of Skills and Qualifications, (6) Recommendations for Training Program, (7) Evaluation and Continuous Improvement. By leveraging Large Language Models (LLMs) and human-centric principles, our methodology enables the creation of tailored training programs to help organisations promote a culture of proactive learning. This work thus contributes to the sustainable development of the human workforce, facilitating access to high-quality training and fostering personnel well-being and satisfaction. Through a food-processing use case, this paper demonstrates how this methodology can help organisations identify skill gaps and upskilling opportunities and use these insights to drive personnel upskilling in Industry 5.0.
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来源期刊
Computers
Computers COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.40
自引率
3.60%
发文量
153
审稿时长
11 weeks
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