Methodology for the selection of learning measures for the competence development of assembly workers

Autor: Maria Maier, Laura Merhar, Kim Julia Schoenfelder, Rahel Lomp, Camila Abdala Gehling
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Production and Manufacturing Research: An Open Access Journal, Vol 12, Iss 1 (2024)
Druh dokumentu: article
ISSN: 21693277
2169-3277
DOI: 10.1080/21693277.2024.2409105
Popis: Mass personalization and shorter product life cycles complicate the assembly of manufacturing companies. To handle the complexity, a high number of employees execute varying assembly tasks. Their work is characterized by learning new tasks frequently to produce different variants. To achieve good learning results in a short amount of time, a suitable individual assembly workers’ competence development process is crucial. Therefore, this publication shows the development of a user methodology to plan the competence development process focusing on selecting learning measures that fit both the work situation and learning employees. The presented user methodology is based on a standardized description and selection procedure for learning measures by using results of a Domain Mapping Matrix, Delphi study, and expert interviews. The publication contributes to improved competence development to support the strategic empowerment of the workforce and to increase the flexibility in manual assembly.
Databáze: Directory of Open Access Journals