If your company is preparing for the Digital Product Passport (DPP), start with shop floor data. That is where the product story is created: at the machine, by the operator, with a material batch, process settings, and a work order.
When information is scattered across spreadsheets, ERP, SCADA, and quality reports, it becomes hard to prove how a product was actually made. That is why MES integration with AAS matters.
A Manufacturing Execution System (MES) records production facts. The Asset Administration Shell (AAS)organizes them into a standard data model. Together, they help you prepare data for DPP, traceability, audits, and modern production management without rebuilding product history by hand from many systems.
MES and Asset Administration Shell: Why Connect Them?
A Manufacturing Execution System (MES) shows what is happening in production. It records production orders, operation times, downtime, machine parameters, material usage, quality results, and order status.
An Asset Administration Shell (AAS) describes a product, machine, component, or asset in a structured way. Data is grouped into submodels, such as identification, documentation, quality, energy, status, or operation history.
| Area | What it gives you in a DPP project |
|---|---|
| MES | Records production data and adds context |
| AAS | Organizes information about a product, machine, or asset |
| DPP | Shares selected data with customers, partners, or regulators |
An MES can monitor production well on its own. AAS prepares the data so other systems and supply chain partners can understand it.
MES Integration with AAS: Prepare Your Plant for DPP Implementation
The Digital Product Passport will soon become a legal requirement in many industries. See how MES integration with AAS can help you meet these requirements. Let’s talk about how we can help.
Why DPP Needs Data from MES
A Digital Product Passport should not be a set of claims written after production is finished. It needs data connected to a specific product, batch, or serial number.
MES collects information where the product is made. You can see which material batch was used, which operations were completed, which machine ran the job, which process parameters were maintained, and what the quality result was.
For DPP, the main data areas are:
- Product identification, batch, or serial number
- Material composition and component sources
- Process parameters
- Quality inspection results
- Operation history
- Machine and tool data
- Energy or utility consumption
- Compliance documentation
- Sustainability-related data
A well-implemented MES turns production data into part of the product history, not an attachment prepared at the last minute.
MES for Digital Product Passport: What Data Should You Collect?
MES for the Digital Product Passport should help you answer one question: can you prove how a specific product was made?
| Data area | What MES records | How it helps with DPP |
|---|---|---|
| Identification | Serial number, batch, work order, BOM version | Links the product with documentation |
| Materials | Supplier, batch, usage, quality status | Shows the material trail |
| Process | Machine parameters, times, deviations | Shows production conditions |
| Quality | Inspection results, nonconformities, decisions | Supports quality management |
| Assets | Machines, molds, tools, workstations | Organizes asset management |
MES shows execution, not only the plan. ERP tells you what was supposed to be produced. MES shows what actually happened on the shop floor.
With this data, you can support production monitoring, OEE, reporting, traceability, and machine data collection. Product history is then based on process facts, not on later manual reporting.
MES ERP Integration: Connect the Shop Floor with the Business
MES ERP integration is often one of the first steps when preparing data for AAS and DPP.
ERP provides the plan, item master, BOM, orders, and inventory data. MES shows what actually happened in production. Treat this connection as one part of the broader data architecture.
ERP-to-MES integration sends production orders, routings, bills of materials, and priorities to the shop floor. MES-to-ERP integration returns production status, material usage, quality results, downtime, and production reports.
If you want MES integration to support DPP, focus first on shared identifiers: product, batch, work order, operation, asset, and document. These identifiers connect the plan with execution and prepare the data for AAS.

MES and APS Integration: Planning Based on Shop Floor Data
MES and APS integration pays off when production schedules change often and delivery dates depend on machine, labor, and material availability.
APS supports production planning and scheduling. MES shows production execution. When both systems are connected, planners see not only the plan, but also the real shop floor status.
MES can send the following data to APS:
- Actual cycle times
- Order status
- Downtime
- Machine availability
- Changeovers
- Material shortages
- Plan deviations
In return, APS sends the current production schedule, order sequence, and priorities to MES.
Examples of APS systems include scheduling applications, APS modules in ERP, production planning systems, and enterprise planning tools that account for production constraints.
How to Build an Integrated MES System for AAS and DPP
An integrated MES system is not created by connecting several applications alone. It works when you know which data is needed, where it comes from, who owns it, and where it should go next.
Start with a product that has high quality, environmental, or regulatory requirements. The main steps are:
- Define the DPP data scope
Include identification, material, quality, process, environmental, and documentation data. - Map data sources
Check where the data is stored today: ERP, MES, SCADA, PLCs, quality systems, spreadsheets, IT systems, supplier documentation, and production monitoring systems. - Assign data owners
Production owns execution status, quality owns inspection results, automation owns machine parameters, and planning owns schedules. - Design AAS submodels
Start with product identification, documentation, material composition, quality status, and operation history. - Connect MES with machines
Machine integration reduces manual data entry. When MES collects data automatically from PLCs, SCADA, sensors, or operator panels, data quality is easier to maintain. - Build traceability
Traceability helps you check what the product was made from, which operations it passed through, and which quality results were recorded.
Done this way, MES integration gives you control over the data before you publish selected information in the DPP.
MES and AAS Connection: Example Architecture
The connection between MES and AAS works as a data organization layer between production, ERP as the enterprise management system, and DPP.
| Layer | Role |
|---|---|
| Machines, PLC, SCADA, IoT | Source of signals |
| MES | Production context |
| ERP | Business context |
| APS | Planning context |
| AAS | Data model for the asset or product |
| DPP | Selected data for sharing |
In this setup, MES collects shop floor data, ERP provides master data, APS supports production planning, and AAS organizes information for further exchange.
Data exchange is easier when every system uses the same identifiers. Interoperability also improves, meaning different systems can understand the same information. If the connection also includes ERP and APS, full system integration is easier to maintain.
MES Features That Help Prepare DPP Data
The most useful MES features for DPP include:
- Production order and operation recording
- Batch and serial number handling
- Production process monitoring
- Machine integration
- Automatic parameter collection
- Quality control at the workstation
- Material usage reporting
- OEE analysis
- Alerts and notifications
- History of changes and decisions
When preparing data for DPP, what matters most is that MES provides process data, not only data from later reports.
MES Implementation for DPP
MES implementation for AAS and DPP should start in an area with clear business value and measurable data.
Good starting points include:
- One production line
- One product group
- A process with high quality requirements
- An area with recurring complaints
- A product facing growing customer requirements
- A line with available machine data
MES implementation should quickly help your teams reduce manual reporting, shorten data search time, and improve order visibility.
Implementation time depends on the number of lines, data quality, automation level, number of integrations, and team readiness. In manufacturing companies, most work often sits in agreeing data rules, not installing the tool.
What Successful MES Integration with AAS Gives You
Successful MES integration with AAS helps production, quality, planning, maintenance, and management work with the same data language.
Main benefits include:
- Faster audit preparation
- Less manual reporting
- Better traceability
- Faster response to complaints
- Stronger quality management
- Better production planning
- More reliable data for DPP
- Data-based production process optimization
- Easier data exchange with partners and customers
Successful MES integration means you do not collect the same data again every time a customer asks about composition, batch history, or production conditions.
MES, AAS, and Industry 4.0
Industry 4.0 increasingly means data you can verify, connect, and share. It needs standards, because without them, digital system integration turns into many local point-to-point connections.
AAS supports interoperability because it describes assets and products in a structured way. MES provides production data, and AAS gives that data the structure needed for DPP, quality, traceability, and supply chain cooperation.
The Open Industry 4.0 Alliance supports the direction in which the Asset Administration Shell (AAS) improves information exchange between industrial solutions.
How we Can Help You
At explitia, we build solutions for manufacturers that want better control over production processes, data, and product history.
Portal Produkcyjny explitia is an MES-class system and production platform that supports production monitoring, OEE, reporting, traceability, and shop floor data work. You can expand it in stages: from one line to a broader MES, ERP, APS, and AAS architecture.
In a DPP project, explitia can help in three areas:
- Shop floor data
Collect information from machines, sensors, PLCs, SCADA, and operator panels. - Production context
Link data with a specific work order, batch, operation, workstation, and product. - Digital system integration
Connect ERP, MES, APS, quality systems, databases, and reporting.
When MES provides verified data linked to the product, you get a practical foundation for Industry 4.0 and the Digital Product Passport. The explitia team can help you check where your data is created, which systems need to be connected, and how to plan an integrated MES system for AAS and DPP.

FAQ: MES Integration with AAS and DPP
What does MES integration with AAS mean?
MES integration with AAS means connecting data from the Manufacturing Execution System with the Asset Administration Shell model. MES collects production information, while AAS organizes it into a structure that can be used by other systems, reports, or DPP.
Does DPP require an MES system?
DPP may not always formally require MES, but without MES it is much harder to collect reliable shop floor data. MES stores information about batches, operations, quality, materials, and process parameters.
What is the difference between MES-ERP and ERP-MES integration?
ERP-MES integration usually means sending data from ERP to production, such as work orders, BOMs, and routings. MES-ERP integration means sending shop floor data back to ERP, such as production status, material usage, shortages, and quality results.
Why connect MES with APS?
MES and APS integration helps planners work with real production data. APS can use information about downtime, cycle times, machine availability, and order status.
Does an integrated MES system help with DPP?
Yes. An integrated MES system connects data from production, quality, planning, and business systems. MES collects information in the product context, and AAS organizes it for further exchange.
What Can You Do Now?
MES integration with AAS helps you organize the data needed for DPP, audits, quality, and customer cooperation. The best path is an integrated MES system that collects production data, connects it with ERP and APS, supports traceability, organizes information through AAS, and feeds reporting.
MES Integration with AAS: See How It Can Help Your Production
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