In modern industry, companies are often faced with the challenge of organising production processes efficiently while keeping an eye on the workload of their employees. We know how important it is to respond flexibly to our customers' requirements. However, we are often faced with the challenge of integrating unforeseeable events and rush orders into our production schedule, which often leads to overtime and workload peaks.
Together with Bielefeld University of Applied Sciences, we want to improve our work planning with the help of artificial intelligence. In this transfer project, we are identifying factors and key figures that support efficient production planning and reduce the workload on employees.
The challenge: Rush orders and unforeseeable events lead to peak workloads, overtime and Saturday work in production, which employees find stressful.
The solution: An AI-supported assistance system that enables employees to plan capacity more precisely and makes production capacity utilisation transparent.
The added value: By identifying the causes of overtime, we can take appropriate countermeasures and drive forward more efficient production planning to relieve the burden on employees.
A central aspect of this project is the human dimension. Recording and analysing overtime and Saturday work serves to make the burden on employees transparent. At ELHA-MASCHINENBAU, we are focussing on understanding the causes of overtime and adapting the planning process accordingly. Ultimately, the project aims to increase employee satisfaction and health with the help of AI.
By using AI, we not only increase our efficiency, but we can also keep an eye on the well-being of our employees.
More information about this project can be found here: https://arbeitswelt.plus/transferprojekte/ai4workplan-intelligente-arbeitsplanung-zur-praevention-von-ueberstunden-durch-ki/
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