۱- Motivation

۲- Analysis of the problem

۳- Current methods and approaches

۴- KPIs in the production of the future

۵- Conclusion and Outlook

References

Abstract

Industry 4.0 promises numerous potentials in production, ranging from data-driven machine optimization to improving the entire production planning. The lack of transparency about the effects and benefits of Industry 4.0 is one of the key obstacles to its introduction. Key Performance Indicators (KPIs) are a way to capture changes in production. This paper analyses typical KPIs and represents their mathematical interconnection in a graph representation. In addition, a structuring framework is presented, in which KPIs are linked to Industry 4.0-related changes in production. We conclude how current typical KPIs capture these changes and demonstrate the benefit of additional, IT related KPIs.

Conclusion and Outlook

Industry 4.0 promises numerous potentials in production. These potentials mainly originate from using data. Capturing these potentials is a main challenge today. Key Performance Indicators are one way to do so. In this paper we presented a concept of Key Performance Indicators in the production of the future. Based on literature research and project work we analysed typical KPIs and represented their mathematical interconnection in a graph representation. In addition, a structuring framework is presented, in which KPIs are linked to Industry 4.0-related changes in production. We concluded how current typical KPIs capture these changes and demonstrate the benefit of additional, IT related KPIs. Future research concerns the extension of the generic process steps within the value chain of Porter like it is presented for operations and intralogistics. Moreover, an empirical evaluation on the interaction between key figures can be done with the help of the graph representation of the key figures. This refers also to an extended validation, since the presented work is based on literature review and a retrospective evaluation of projects.