Ryobi undertook a project with the Smart Manufacturing Data Hub to develop a dashboard that would combine data from Ryobi’s electricity meters for two different die cast machines with production output and OEE data for the same machines. Additionally, granular tariff data was added to the analysis to allow Ryobi to analyse how the variable cost of electricity impacted on their production cost.
The data analysed was summarised at different time granularity, i.e. daily, weekly, and monthly to provide both low-level insights and a higher-level summary to showcase longer-term trends. Data from two different die cast machines, which had made the same parts during the observation period, were included in the analysis to allow a comparison of different equipment.
The dashboard also provided functionality to compare production and energy consumption KPIs between specific days with more granular insights about the energy consumption profile for either day. This allowed the user to compare days with very good performance alongside those with poorer performance and identify potential root causes of inefficient energy use or increased energy costs.