Advanced energy data analytics to predict machine overall equipment effectiveness (OEE): a synergetic approach to foster sustainable manufacturing.
Sebastian Thiede
Abstract
Understanding the relation of production activities and energy demand is of crucial importance for fostering sustainable manufacturing. While so far the perspective is mainly on augmenting production data with energy related aspects, this paper suggests an alternative approach to overcome current challenges. Energy data is the starting point and shall be utilized for the prediction of the overall equipment effectiveness (OEE) which is an established and comprehensive indicator for machine performance. Based on a common underlying definitory framework, two alternative prediction methods are presented. Results indicate that an energy based OEE prediction is actually possible with reasonable accuracy and effort.
Topics & Concepts
Overall equipment effectivenessProduction (economics)Energy (signal processing)Computer sciencePerspective (graphical)ManufacturingAnalyticsEfficient energy useIndustrial engineeringEngineeringRisk analysis (engineering)Reliability engineeringData miningArtificial intelligenceEconomicsMacroeconomicsMedicineMathematicsLawElectrical engineeringPolitical scienceStatisticsEnergy Efficiency and ManagementEnvironmental Impact and SustainabilityBuilding Energy and Comfort Optimization