Artificial Intelligence based Asset Management
Juliette Mattioli, Paolo Perico, Pierre‐Olivier Robic
Abstract
In a System Engineering perspective, asset management (AM) is related to a subset of techniques focusing on the in-service phase, aligned with product life-cycle management discipline. Today, within AM solution market, the integration of Artificial Intelligence (AI) technics above traditional entreprise solution is a key trend. This paper is focusing on how symbolic AI and data driven AI could improve some issues of the AM life cycle, in particular in asset acquisition, performance analysis and forecasting, asset monitoring, predictive and prescriptive maintenance, supply chain optimisation including spare parts management…
Topics & Concepts
Asset managementSpare partAsset (computer security)IT asset managementComputer scienceProduct life-cycle managementService (business)Key (lock)Product lifecycleSupply chainSupply chain managementPerspective (graphical)Product (mathematics)Risk analysis (engineering)Process managementKnowledge managementArtificial intelligenceNew product developmentEngineeringBusinessOperations managementComputer securityFinanceMathematicsMarketingGeometryMechanical engineeringMachine Fault Diagnosis TechniquesReliability and Maintenance OptimizationFault Detection and Control Systems