Simple Analysis of Planning Quality in Production Logistics

On-time delivery is one of the most critical performance characteristics of manufacturing companies. To remain competitive, companies must constantly strive to optimize their logistical performance. Poor on-time delivery has complex causes that are difficult to identify due to the many logistical interdependencies. Increasing market volatility, complex products and production processes, and individual customer requirements further complicate the situation. Digitalization has led to more and more data being available, which requires additional capabilities in data analysis. In order to obtain a fundamental overview of planning quality in production, this paper presents two simple descriptive models. These models can visualize the progression of different KPIs for measuring the planning quality along different production steps. In addition, they allow conclusions to be drawn about the extent to which specific product characteristics have an influence on the planning quality. A case study evaluates the models using a real data set from a maintenance service provider. As production is a complex process that cannot be perfectly planned, these models help to fundamentally understand planning errors and provide a basis for further exploration.