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Ein Jahr im Zeichen von Supply Chain Resilienz und mobiler Robotik

Workshop bei TE Connectivity, die Kollegen stehen vor einem EVO-Bot © LFO​/​ TU Dortmund

Das Jahr 2023 war am LFO geprägt von einem starken internationalen Austausch, bedeutenden Forschungsfortschritten und dem Start zukunftsweisender neuer Projekte.

Gleich zu Beginn des Jahres stand der offizielle Kick-off des Erasmus+-Projekts EXPERTISE an, zu dem sich die internationalen Projektpartner im Februar an der TU Dortmund trafen. Das Projekt lieferte über das Jahr hinweg kontinuierlich wichtige Ergebnisse: Im Juni wurde der aktuelle Forschungsstand zur Weiterbildung von Mitarbeitenden evaluiert, und im September konnte das Projektteam ein umfassendes Literature Review zu bestehenden Lehr- und Trainingsmethoden in der Praxis abschließen. Ebenfalls im September (13. und 14.09.) traf sich das EXPERTISE-Konsortium an der University of Economics in Bratislava in Košice, um die erfolgreiche Zusammenarbeit weiter zu vertiefen.

Auch auf internationalen Fachkonferenzen war das LFO stark vertreten. Ein besonderes Highlight war die Konferenzteilnahme an der IPSERA im April in Rio de Janeiro. Dort präsentierte Julian Brinkmeyer vor einem internationalen Fachpublikum aktuelle Forschungsergebnisse (ein "Framework structuring crisis management and supply chain resilience activities in PSM"), welche die LFO-Forschung im Bereich Supply Chain Resilience und Krisenmanagement weiter in der internationalen Wissenschaftscommunity positionierten.

Der Herbst 2023 stand ganz im Zeichen der Automatisierung: Am 1. September fiel der offizielle Startschuss für das Forschungsprojekt FlexTools. Das Projekt adressiert die Herausforderungen kleiner und mittlerer Automotive-Zulieferer bei der Integration mobiler Robotik (AMR) in bestehende Brownfield-Umgebungen. Der erfolgreiche Projekt-Auftakt wurde kurz darauf, am 5. Oktober 2023, mit dem FlexTools-Kick-off im LFO Lab an der TU Dortmund gefeiert, bei dem das Projektteam die gemeinsame Arbeit an der modularen Robotik-Toolbox aufnahm.

Literature review to identify existing teaching and training methods in practice

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© LFO​/​ TU Dortmund
Within the first content work package „Empirical Study“, a systematic literature review to identify existing teaching and training methods in practice was defined as the main focus. In the following, we would like to provide you with a first small insight into the research results to date.

Based on the identified keywords from a preliminary study shown in the figure (above left) and the number of their occurrences, search segments were formed. These include: 1. the „company“ segment, 2. the „employee“ segment, 3. the „education and training“ segment, and 4. the „skills“ segment. This enabled the elaboration of a search string, which could be used for the systematic literature analysis.

For this literature search, the databases SCOPUS and EBSCO were used, which yielded a total of 1422 results. The scientific publications found were divided among the project partners to screen the abstracts and identify relevant articles for the full-text search.

The figure (top right) shows the publication years of all articles. It can be seen that no more than 25 articles per year were published until 2005, while from 2006 onwards the number of articles published per year increased significantly, reaching its current peak in 2022 with more than 125 articles.

Of these, 298 were judged to be further relevant to the research project and the associated research question. Of these, the entire article was read and eight categories of questions were answered about the publications in a concept matrix for each article. These included whether a specific group was trained, in what way the training took place, and how the measures were evaluated. Finally, 128 articles were identified as suitable for later phases of the project. A gap in the research was identified, dealing with the topic of training silver workers in the commercial sector. The industry distribution can be seen in the figure (below), with most articles for academia and industry.

A number of teaching methods are used to train workers. Assessment and competency development tools were the most frequently cited with 41 mentions, with training via digital learning platforms coming in second with 33 mentions, followed by self-paced and personalized training with 29 mentions.

In analyzing the requirements and designing the training principles, eight common areas were identified in the articles. These include learning and training approaches, tools and technology, the role of mentors and experts, and other areas.

Based on these findings, expert interviews will be conducted to confirm capabilities and for further work.

The full results will soon be published in a white paper on the EXPERTISE website.