as the core PLM platform in the Siemens industrial software system, Teamcenter is responsible for key tasks such as enterprise product data management (PDM), change management, BOM management, process collaboration, process planning and digital manufacturing. It connects multiple departments such as R&D, process, manufacturing, quality, and supply chain, and its access and usage patterns are usually extremely scattered and complex.
In large enterprises or multi-project parallel environments, the following phenomena often occur with Teamcenter floating licenses:
- The number of visits suddenly increases during peak hours
- Process, R&D and quality teams compete for authorization
- The client is open for a long time but there is no operation for a long time.
- Workflow submission causes short-term concentrated occupation
- Cross-regional team access leads to resource competition
- The real source of stress is difficult to locate
These problems are difficult to accurately quantify under traditional monitoring systems. The role of Nodexel is to allow enterprises to clearly “see” the real usage behavior and authorization load of Teamcenter for the first time.

1. Why is Teamcenter usage behavior difficult to manage?
Teamcenter is different from modeling software or simulation solvers in that it has several distinctive features:
1. Parallel calling of multi-role and multi-function modules
Includes:
- Engineer Client/Rich Client
- Structure Manager
- Workflow Designer
- Manufacturing Process Planner
- Change Manager
- Multi-BOM Management
- Supplier Collaboration
Access models for different roles vary greatly, making authorized use difficult to understand with a single view.
2. Fragmented usage behavior and frequent switching
Typical user activities for Teamcenter include:
- Query BOM
- Submit change order
- Open document
- Initiate/approval process
- Browse the structure tree
- Upload process documents
These operations occupy licenses, but the duration is uneven, causing drastic fluctuations in the authorization pool.
3. Workflow batch processing causes short-term peaks
For example:
- Engineering Change (ECN) Centralized Approval
- Create a large number of work packages before project nodes
- Export documents or BOMs in batches
The load on Teamcenter can increase dramatically during these times, often resulting in “License Insufficiency”.
4. Teamcenter is often accessed distributedly
Multiple R&D centers, process bases, and supply chain collaboration teams will access Teamcenter from different areas, and the load sources are very scattered.
It is difficult for traditional server monitoring tools to give a complete picture of authorized occupancy.
2. Nodexel: Build a truly visual license monitoring system for Teamcenter
Nodexel integrates with Teamcenter’s licensing service (usually based on FlexLM or Siemens License Server) to capture all licensing usage behavior in real time.
1. Real-time display of the authorized occupancy of all Teamcenter modules
Includes:
- Current online users
- Occupied modules (such as Base, Author, Workflow, MPP, etc.)
- Length of use
- Number of licenses remaining
- Real-time fluctuations of each License Feature
Let administrators know for the first time: “Who is using it, what is being used, how long it is being used, and when it is used most.”
2. Access behavior curves and load trend graphs
Nodexel automatically records authorization changes every minute and generates:
- Teamcenter overall load curve
- Workflow submission traffic trend
- BOM query peak period
- Rich Client / Thin Client usage differences
- Proportion of visits to each department/project
Help enterprises determine whether expansion is needed or what type of usage behavior causes bottlenecks.
3. How does Nodexel present itself in licensing competition under multi-department collaboration?
Teamcenter’s authorization pools are often shared by multiple teams:
- R&D Department
- Manufacturing/Processing Group (MFG)
- Quality Department (QA/QC)
- Project Management Department
- supply chain team
- IT operations team
The “Department Occupancy View” provided by Nodexel can clearly display:
1. Actual usage of Teamcenter resources by each department
For example:
- The peak time for the process department is to submit the MPP process package in the morning
- The quality department centralizes the approval process at the end of the project
- R&D calls surge ahead of new version delivery
Enterprises can optimize the pace of collaboration accordingly.
2. Project periodic authorization occupation mode
For example:
- There are two fixed usage peaks every month in the development cycle of a certain model.
- A large number of approvals accumulated before a certain platform was upgraded.
- A factory floor experiences a spike in visits during a process change
This is very critical for enterprises to do “Teamcenter operation and maintenance planning”.
4. Typical enterprise usage scenarios: How does Nodexel help troubleshoot problems?
Scenario 1: Teamcenter is full and the client cannot log in
Nodexel immediately displays:
- Which users are occupying
- Whether there is long-term space occupation
- Which sector caused the spike?
- Which License Features have reached their peak
Administrators no longer need to troubleshoot individual clients.
Scenario 2: A large number of workflows are queued, and the approval speed decreases
Nodexel can display:
- Real-time curves of Workflow-related Features
- Peak period of submissions
- Approval time occupied
- Are there any users who are “stuck in the process”?
Help locate whether it is caused by authorization bottleneck.
Scenario 3: Remote team access causes load imbalance
Nodexel displays the proportion of cross-regional resources, allowing enterprises to determine:
- Do you need separate authorization pools?
- Whether to do image library or distributed architecture optimization?
Scenario 4: Is the authorized purchase amount reasonable? Too much or not enough?
Based on long-term data, Nodexel answers:
- Which Features need to be expanded
- Which Features are actually used only 10% of the time
- Which departments are using far more than expected
- Which peaks are not structural problems but caused by empty occupation?
This changes authorization planning from “brain-based” to “data-based”.
5. Lightweight idle license recycling strategy
During enterprise-defined peaks, Nodexel Lightly recycle Teamcenter empty licenses that have been inactive for a long time, does not affect users who are executing workflows or opening data.
6. Build a data-based Teamcenter usage system: Make PLM operation truly predictable
The data system provided by Nodexel can help enterprises:
- Make annual PLM resource budget
- Optimize Teamcenter access architecture
- Balancing licensed usage between departments
- Identify structural bottlenecks
- Improve process approval efficiency
- Reduce work stoppages due to insufficient permits
- Provides a unified view for IT and the business
From then on, Teamcenter is no longer an “invisible system stressor”, but a quantifiable and manageable core resource of the enterprise.
Conclusion: Nodexel makes Teamcenter a truly manageable PLM asset
The importance of Teamcenter in the enterprise is self-evident, but its usage behavior has long been invisible and unquantifiable. Nodexel transforms the authorized resources of the PLM system from a black box into a visualized asset through real-time monitoring, authorization dynamic analysis, department proportion insights, and lightweight resource organization.
This not only improves team collaboration efficiency, but also helps companies make more scientific decisions in PLM resource planning.