Concept for Value Stream-Oriented Analyses of Event-based Data in Three Perspectives

Abstract

Value stream mapping is an established method for analyzing and optimizing manufacturing systems. However, because of their high complexity and dynamic behavior, modern production systems of the industry 4.0 era are increasingly difficult to model in a static value stream map. A general approach to handle this challenge is to digitalize analysis, modeling, and visualization. This study shows how information gathered digitally during value stream analysis can be structured in a way to provide added value for users in visualization. For this purpose, three perspectives are derived and described in detail – ‘value stream map’, ‘order tracking’ and ‘resource monitoring’. These perspectives are also intended to cover sustainability KPIs and be real-time capable. The approach exploits standardized event data to ensure processing and development. It contributes to the utilization of data in the manufacturing context.