Asset Management
Last updated 2026.02.13자산관리Asset Management예지보전Predictive Maintenance설비관리Equipment Management디지털트윈Digital Twin생애주기관리TCO
Definition
Asset Management is a systematic approach to optimizing the value of all assets owned by an organization. In manufacturing, it refers to the process of developing, operating, maintaining, upgrading, and disposing of tangible assets (production equipment, facilities, molds, jigs) and intangible assets (design drawings, process know-how) in the most cost-effective manner throughout their entire lifecycle.
Application in Manufacturing
Equipment Asset Management
- Preventive Maintenance Planning: Track equipment runtime, failure history, and parts replacement cycles for scheduled maintenance
- Equipment Utilization Optimization: Analyze asset performance data to prioritize investment decisions
- Lifecycle Cost Management: Minimize Total Cost of Ownership (TCO) from acquisition to disposal
AI-Driven Asset Management
- Predictive Maintenance: Predict equipment failures in advance using sensor data and AI algorithms
- Digital Twin: Build digital models of physical assets for real-time monitoring and simulation
- Asset Performance Analytics: Analyze equipment efficiency and energy consumption patterns with machine learning
Key Points
Real Manufacturing Applications:
- Automotive parts factory tracks press die stroke counts in real-time with automatic replacement alerts
- Semiconductor fab AI analyzes vacuum pump vibration data to predict failures 72 hours in advance
- ERP-MES integration centralizes asset history and achieves 15% reduction in maintenance costs