由于工作组织中与大流行相关的变化而导致的能力要求的变化——生产公司中机器学习的学习工厂方法

M. Schmauder, Gritt Ott, Elena Montenegro Hörder
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引用次数: 1

摘要

由德国联邦教育和研究部(BMBF)资助的“COVID - 19 LL经验教训”研究项目旨在通过系统分析,确定在大流行期间在德国三个不同地区出现的成功解决方案和措施。考虑中的地区是巴伐利亚州(慕尼黑工业大学)、北莱茵-威斯特伐利亚州(亚琛工业大学)和萨克森州(德累斯顿工业大学)。该项目的目的是确定公司和组织面临的问题,以及到目前为止他们从变革过程中学到了什么。通过这种方式,必须确定由于大流行而出现的创新和数字化工作形式是否能够提供积极的推动力,从而在中期和长期内证明其在工作世界中的价值。正在审议的问题之一是由于与大流行病有关的工作组织变化而导致的能力要求的变化。下面的人-技术-组织过程模型用于项目工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Change in competence requirements due to the pandemic-related change in work organisation - A learning factory approach on machine learning in production companies
The research project "COVID 19 LL Lessons Learned", funded by the German Federal Ministry of Education and Research (BMBF), aims to identify successful solutions and measures that emerged in three different German regions through a systematic analysis during the pandemic. The regions under consideration are Bavaria (TU Munich), North Rhine-Westphalia (RWTH Aachen) and Saxony (TU Dresden). The aim of the project is to identify the problems that companies and organisations are facing and what they have learned from the change process so far. In this way, it is to be determined whether innovative and digital forms of work that have emerged as a result of the pandemic can provide positive impulses that can prove their worth in the working world in the medium and long term. One of the issues under consideration is the change in competence requirements due to the pandemic-related change in work organisation. The following human-technology-organisation process model was used for the project work.
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