analysis

Opportunities arising from new technologies like smart mobile devices and augmented reality have a huge impact on the manufacturing industry but are not taken advantage of when it comes to productivity analysis. As a consequence productivity analyses are rarely used and companies cannot benefit from a systematic approach to tackle improvement processes. This paper presents a productivity analysis method that uses a web-based application for data acquisition and is designed in a way that enables production staff to perform analyses on their own.

There are numerous analysis methods available to support engineers working on continuous improvement projects. Digital transformation facilitates to reduce the effort for data acquisition and processing. The Institute of Production Management and Technology and the medical company Dräger have jointly developed a web application for multi-method analysis. This article describes its data structure and technology.

The competitiveness of manufacturing companies producing in high-wage countries is strongly depending on labour productivity. In the course of Germany’s demographic change, companies with manual production need to compare the heterogeneous impact factors on labour productivity to develop goal-oriented measures for productivity improvements. The integral productivity analysis enables the user to identify the various impacts on labour productivity and to prioritise fields for process optimisation. The approach is based on the state-oriented modelling of worker activities.