Enterprise Asset Management (EAM)
Also: EAM, Enterprise Asset Management System, Anlagenmanagement, Asset-Lifecycle-Management, Anlagenverwaltung
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Enterprise Asset Management (EAM) refers to the systematic management of physical assets across their entire lifecycle – from procurement through operation and maintenance to decommissioning.
Key facts
- EAM manages physical assets from purchase to decommissioning, linking technical maintenance with a financial lifecycle perspective.
- In highly automated warehouses, conveyor technology, stacker cranes, AGVs, and AS/RS systems are the key asset classes that an EAM system must cover.
- The quality of an EAM system depends entirely on the completeness of asset master data and consistent upkeep by the maintenance team.
- ERP integration is often a prerequisite in practice for evaluating spare parts costs, budgets, and investment decisions across systems.
- The distinction between EAM and CMMS is not standardized and depends heavily on the respective vendor and the system modules in use.
What is Enterprise Asset Management?
Enterprise Asset Management (EAM) is a company-wide approach to the structured management of physical assets across their complete lifecycle. Unlike a pure maintenance system, EAM covers not only maintenance planning but also acquisition costs, depreciation, spare parts inventories, supplier relationships, and investment decisions. An EAM system maintains asset master data, maintenance and inspection plans, fault reports, work orders, and the complete operational history of each asset object.
In intralogistics, this specifically applies to: conveyor technology such as conveyor belts and sorters, stacker cranes (SCs), automated guided vehicles (AGVs), automated small-parts warehouses (AS/RS), lifting and storage equipment, as well as the building and energy infrastructure of the warehouse. Particularly in highly automated environments, complete documentation of these assets is a fundamental prerequisite for predictable availability and legally compliant operations.
How does EAM work in practice?
An EAM system maps the entire asset hierarchy – from the location, to a system, down to individual components. Maintenance tasks are planned either on a time-based basis (e.g., annual inspection) or condition-based (triggered by sensor data or fault reports). Technicians receive work orders and record their effort, consumed spare parts, and measured values directly in the system – today typically via mobile tablet or smartphone.
Typical functional areas of an EAM system include:
- Asset master data management with technical documents, drawings, and manufacturer information
- Preventive and predictive maintenance planning
- Fault and damage reporting with prioritization
- Spare parts and inventory management for maintenance materials
- Cost and budget controlling per asset or system
- Lifecycle analysis to support reinvestment decisions
Integration with ERP systems (e.g., for purchasing and accounting) as well as with SCADA or IoT platforms is critical in practice for data flow and the quality of analyses.
What matters when making a selection?
When implementing an EAM system, you should first clarify which asset classes are to be managed and how granular the data structure should be – not every warehouse needs a component-level breakdown down to individual screws. Process integration is also important: How are fault reports from warehouse operations captured, prioritized, and converted into work orders? And how do spare parts consumption figures feed back into inventory management and purchasing?
The distinction between a CMMS (Computerized Maintenance Management System) and EAM varies by vendor and is not uniformly defined. As a general rule: CMMS focuses more strongly on operational maintenance processes, while EAM covers the entire asset lifecycle including the financial perspective. In practice, many systems today offer both functional areas, meaning the distinction is often more a question of which modules are used.
Related terms
- AGV
AGV (Automated Guided Vehicle) refers to driverless transport vehicles that automatically move goods in warehouses and production environments. They follow predefined or sensor-controlled routes without a human driver.
- AKL
An Automated Small Parts Warehouse (AKL) is a fully mechanized storage system for bins, trays, or cartons that automates the goods-to-person process using aisle-captive storage and retrieval machines or shuttles.
- Automatisches Kleinteilelager (AKL)
The Automated Small Parts Warehouse (AKL) is a fully automated storage system for totes, trays and small parts, in which storage and retrieval operations are performed without manual intervention by stacker cranes or shuttle systems.
- Automatisierung
Automation refers to the use of technologies and systems to execute processes fully or partially without human intervention. In intralogistics, the spectrum ranges from simple conveyor systems to fully automated high-bay warehouses with autonomous vehicles.
- BDE-System
A BDE system (operational data collection system) captures machine and manual process data in real time directly at the source – such as at machines, conveyor systems, or workstations.
- Bestandsführung
Inventory management refers to the system-supported administration and continuous updating of all warehouse and material stocks within a company. It forms the basis for planning, procurement and accounting – and ensures that the book inventory and physical inventory are in agreement at all times.
- Bestandsmanagement
Inventory management refers to the systematic planning, control, and monitoring of stock levels across the entire supply chain. The goal is to ensure delivery capability while keeping capital commitment and warehousing costs within economically viable limits.
- CapEx
CapEx (Capital Expenditures) refers to investment expenditures for long-term assets such as plant, machinery, or IT infrastructure. These expenditures are capitalized and depreciated over their useful life, rather than being recorded immediately as an expense.
- Disposition
Disposition refers to the operational planning and control of resources, quantities, and orders in logistics – for example in transport or materials disposition. It encompasses capacity assignment, scheduling, prioritization, and response to disruptions.