1. Industry background and nCode usage status: High reliance on durability analysis, but lack of usage transparency for a long time
In the fields of automobiles, engineering machinery, rail transit, aerospace and high-end equipment manufacturing, nCode is the core software in the fatigue and durability analysis system. Engineering teams typically use nCode to:
- Fatigue life assessment based on test or simulation data- Time/frequency domain fatigue analysis- Random load and variable amplitude load processing- Linking results with CAE software (such as Nastran, Adams, ANSYS)- Batch durability calculation for multiple working conditions and multiple working steps- Design solution comparison and durability verification support The actual usage scenarios of nCode have obvious characteristics:
- The calculation task takes a long timeA durable analysis task often takes a long time to run, and engineers will continue to occupy licenses.2. Project node driver is obviousBefore design freeze, DV/PV, and endurance verification, nCode usage will explode.3. Engineers are accustomed to keeping software openMake it easy to review results repeatedly, adjust parameters, or wait for batch processing to complete.4. Multiple teams share the same authorization poolFor example, the simulation team, test team, and durability analysis team are used in parallel. In the absence of unified management, companies often face:
- nCode cannot be started, prompting that the license is full- It’s unclear who is using it and how long it has been used- There are engineers running the software but not actually running the calculations.- The process is not released after the calculation is completed, resulting in “hidden occupation”- Durability analysis was forced to wait during project peak period- Management cannot tell whether delegation is truly insufficient- The usage status of cross-department and cross-regional teams is not visible nCode has therefore become a critical but difficult-to-manage high-value engineering resource in the enterprise**.
2. Typical challenges faced by enterprises in nCode usage management
1. Technical FAQs
- Floating licenses are often full and engineers cannot start analysis in time- It is impossible to see who is currently using nCode and which modules are used in real time- The engineer opens the software but does not actually operate it, causing idle occupation.- After the long batch processing ends, the license is not released in time- Multiple projects enter the durability analysis stage at the same time, and authorization conflicts are frequent.- Peak periods are unpredictable and you can only passively wait for resources to be released.
2. Realistic pain points at the management level
- Lack of real, quantifiable usage data– It is impossible to determine which projects and which teams are the main occupiers- Whether authorized procurement is reasonable can only rely on experience- The project progress is blocked, but it is difficult to review the reasons- The usage of distributed teams (headquarters/test site/outsourcing) cannot be monitored uniformly- Waste caused by idleness and abnormal occupancy is difficult to detect in time The root cause of these problems does not lie in the nCode software itself, but in the fact that companies lack transparency and data-based management methods for the use of engineering software**.
3. How Nodexel intervenes: Build a visual usage management system for nCode
Nodexel does not change nCode’s authorization method, nor does it interfere with the engineers’ analysis process, but adds a layer of real-time monitoring and data analysis capabilities to the existing environment.
1. Monitor nCode license usage in real time
With Nodexel, businesses can see in real time:
- Engineers currently using nCode- Departments and projects- Use start time and cumulative duration- Remaining quantity of authorization pool- Current load status (whether it is close to the upper limit)- Usage status (Active/Idle) For the first time, nCode usage is presented in an intuitive, unified data format.
2. Identify active and idle (Idle) users
Nodexel automatically recognizes:
- Long inactive sessions- When nCode is opened but no calculation task is run- The engineer leaves the workstation but the software continues to occupy the license Idle sessions are clearly marked, providing an objective basis for resource optimization.
3. Automatically identify abnormal occupancy and support gentle recycling
For example:
- The software is not exited after batch processing is completed- Client exception causes license not to be released- Invalid session hanging for a long time If allowed by corporate policies, long-term idle occupancy can be automatically recycled without affecting ongoing durability analysis tasks.
4. Department-level and project-level usage time statistics
Nodexel supports analyzing nCode usage from multiple dimensions:
- Authorization consumption of different projects in the endurance stage- Usage ratio of simulation team to test team- Which projects cause obvious peaks before the node- Is there a long-term high-occupancy, low-activity usage pattern? Management can understand resource structure based on data, not feelings.
5. Visualization of demand fluctuations during peak and trough periods
Through historical data analysis, companies can clearly see:
- Peak daily usage- Authorization pressure caused by project phases- Monthly and quarterly load change trends This allows you to plan resources in advance rather than reacting reactively after the project is blocked.
6. Support cross-regional and multi-team unified management
Either:
- Headquarters CAE / Durability Analysis Team- test center- Outsourcing or joint development team The usage of nCode can be presented uniformly in Nodexel to form a complete view.
4. Direct management benefits brought by data insights
After using data transparency, companies typically experience the following quantifiable improvements:
- License utilization increased by approximately 20%–40%– Idle occupancy is significantly reduced and invalid resources are released- Engineers’ wait times for permits are significantly reduced– Authorized purchasing decisions are more rational and avoid blind additional purchases.- The overall delivery efficiency of durability analysis is improved, and the project rhythm is more stable These benefits do not come from increasing the number of licenses, but from refined management of existing resources.
5. Real usage scenarios of engineers
Durability analysis department of a vehicle manufacturer, 10 a.m. Wednesday. Engineer Xiao Wang was about to start nCode for a new fatigue life calculation, but found the system prompt:
“No Available License” The project is in the critical stage of durability verification, and the team has repeatedly asked:
- “Is the experimental group running high-volume calculations?”- “Is there anyone who has the software turned on and not using it?”- “Did the batch processing last night not be released?” But without monitoring tools, the problem cannot be quickly located. After enabling Nodexel, administrators quickly see:
- Two sessions idle for more than 1 hour- A batch is still occupying licenses after it ends in the early hours of the morning- That morning was the peak period for concentrated durability analysis on multiple projects. After releasing the idle occupancy, Xiao Wang successfully started nCode and continued the calculation task, ensuring the progress of the project. This is a very common real-life scenario among durability analysis teams, but there has been a long-term lack of effective solutions.
6. Summary: Let nCode usage management move from “empirical judgment” to “data-driven”
Nodexel is not a replacement for nCode, but a set of engineering software usage monitoring and data management tools.It helps businesses:
- See the real usage status of nCode- Reduce license resource waste- Optimize resource allocation between projects and teams- Improving the return on investment (ROI) of engineering software- Support the digital upgrade of enterprise engineering R&D management When nCode’s usage environment becomes transparent, analyzable, and predictable,The stability of the durability analysis process and engineering collaboration efficiency will also be significantly improved.
