Duration: Completed | 01/2022 – 12/2022
Funded by: EIT Manufacturing
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Currently, worker assistance systems (WAS) are only marginally widespread in production. This is due in particular to the lack of knowledge among employees in production-related functions. In addition, there are very few training opportunities at the current time to provide fundamentals and implementation strategy related to WAS. This is even more true for digital learning content, which offers the advantage that it can be easily consumed at any time from any location. Once a basic knowledge of WAS is available, users subsequently face the additional question of how they can optimally implement a worker assistance system. In many companies, however, the implementation process, which is driven by expert knowledge, stagnates for lack of appropriate experts.
The project addresses production managers and employees and pursues the main objective of creating the necessary competencies to identify the need for worker assistance systems in the production environment as well as to implement and subsequently work with them. The overall content of this project is the creation of digital learning content for companies and training centers interested in training participants on the topic of worker assistance systems. The learning content will help store floor managers and employees to get an overview of currently existing assistance systems to support perception, decision-making and execution of tasks, to identify possible applications in the production process and to offer implementation strategies for an introduction of assistance systems.
The work plan is divided into five work packages and corresponding measures. The first step is to evaluate currently existing assistance systems. The second step is to identify problems in the current process. A competence table with requirements for the learning content is created in order to determine the focus of this. In the third step, the learning contents are created. They focus on the aspects identified in the previous steps and summarized in the competence table. The domains of store floor managers and production employees are addressed separately with content tailored to their individual needs. The fourth step is the validation of the content with industry partners. In the final step, adjustments are identified and implemented.
This project is funded by the EIT Manufacturing. We thank for the opportunity to work on this project.