SimOps Best Practices
Below is a distilled set of the 20 major best practices* drawn from over 230 engineering simulation projects, including three of the "Magnificent Seven", and 160 case studies over the last 12 years. These best practices led to the SimOps Framework and the SimOps eBook developed in 2024. They are grouped under the three ‘Golden-Triangle’ lenses—Technology, Process, and People—yet intentionally cross-reference one another, because SimOps only succeeds when the three act in concert.
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*) Best practices are sets of methods and techniques that produce optimal results, increase efficiency and develop structured processes. Many industries and professions use best practices to streamline work and adhere to industry standards.
Best Practices for Implementing SimOps
1.
Make Simulation-Driven Decision-Making a Cultural Norm
Treat every major product decision as a hypothesis that must be validated (or refuted) by simulation evidence. Incentivize teams to cite simulation results in design reviews, gates, and executive updates.
People · Process
2.
“Shift Left” – Introduce Simulations Early and Often
Run quick, coarse simulations during ideation, then refine fidelity as the design matures. Early failures are cheaper than late surprises.
People · Process
3.
Automate
End-to-End Workflows
Use orchestration tools to string together pre-processing, solver execution, post-processing, and data archival into repeatable pipelines triggered by APIs or events.
Technology · Process
4.
Provide Self-Service
Simulation Portals
Give engineers a browser-based interface to choose models, select hardware, set parameters, launch jobs, and track progress—without opening an IT ticket.
Technology · People
5.
Adopt a Hybrid-Cloud
HPC Strategy
Burst to cloud when on-prem clusters are full, but keep predictable “always-on” workloads local. Automate placement decisions using policies for cost, latency, data-gravity, and tool licensing.
Technology
6.
Establish a SimOps
Center of Excellence (CoE)
A cross-functional team that owns standards, templates, reference architectures, training, and vendor relations. The CoE reduces duplicate effort and becomes the organization’s simulation “front desk.”
People · Process
7.
Enforce Robust
Data Governance & Security
Classify datasets, encrypt at rest/in transit, use fine-grained IAM, and maintain auditable lineage. Protect IP and comply with GDPR, ITAR, ISO 27001, etc.
Process · Technology
8.
Track, Forecast, and Optimize
Simulation Cost
Tag every workload, pipe usage into FinOps dashboards, and run periodic “rightsizing” exercises. Compare CPU vs. GPU economics and negotiate elastic license models.
Process · Technology
9.
Foster Cross-Functional
Collaboration Cadences
Hold weekly stand-ups with R&D, IT, and business leads. Use shared Kanban boards for agile project management tool designed to help visualize work, limit work-in-progress, and maximize efficiency.
People
10.
Version-Control Workflows,
Not Just Code
Store solver settings, mesh scripts, post-processing macros, and container specs in Git. Use tags and semantic versioning so any result can be reproduced on demand.
Process · Technology
11.
Implement End-to-End
Data Lifecycle Management
Implement End-to-End Data Lifecycle Management. Automate data capture, transform raw technical data into AI-ready assets, do quality checks, deduplication, compression, tiered storage, and governed deletion.
Technology · Process
12.
Leverage AI/ML & Digital Twins
for Predictive Insights
Apply surrogate models, active learning, and reduced-order models to cut solver runtimes. Feed operational telemetry into digital twins to close the loop between field and lab.
Technology
13.
Benchmark and Tune
Performance Continuously
Maintain baseline benchmarks for each solver/hardware combo. Trigger re-tests after driver, kernel, or solver upgrades. Publish performance scorecards to stakeholders.
Process · Technology
14.
Establish Continuous Feedback
& Improvement Loops
Collect post-mortems after every project, update playbooks, and feed lessons back into templates and training materials.
Process
15.
Run Structured Onboarding
& Upskilling Programs
Provide role-specific curricula (simulation basics, HPC fundamentals, cloud cost hygiene). Pair novices with mentors and track competency via badges or assessments.
People
16.
Monitor User Experience
in Real Time
Instrument portals and CLI tools for latency, queue wait times, error rates, and satisfaction surveys. Prioritize UX fixes alongside backend optimization.
Technology · People
17.
Optimize License
& Hardware Utilization
Use token servers, license queuing, and hardware reservation policies. Correlate license checkout logs with job telemetry to identify idle tokens or stranded cores.
Technology · Process
18.
Integrate SimOps with
PLM, CAD & CI/CD Pipelines
Automate trigger-on-commit simulations and feed results (pass/fail, KPIs) back into pull requests or PLM change orders. Keep design, simulation, and manufacturing data in sync.
Technology
19.
Embed
Sustainability Metrics
Track energy/kWh per simulation, choose greener cloud regions, and schedule non-urgent jobs when renewable energy is plentiful.
Process · Technology
20.
Use the SimOps Maturity Model
as a Compass
Regularly assess where you sit according to the Maturity Model—Prove, Scale, or Optimize—and set quarterly goals to climb to the next rung. Celebrate incremental wins to keep momentum high.
Process · People
How to Apply These Best Practices
1. Prioritize
Not all twenty are “day-one” items. Pick 3–5 high-impact gaps first.
2. Pilot
Run a small PoC that exercises the chosen practices end-to-end.
3. Institutionalize
Document, template, and codify what worked; retire what didn’t.
4. Iterate
Re-evaluate maturity every 6–12 months and repeat.
Adopting these best practices will help you transform simulations from isolated engineering tasks into a strategic, business-critical capability that accelerates innovation, reduces cost, and elevates product quality.
Start your SimOps Fundamentals free and online certification
Contribute to and benefit from the collective experimentation and evolution of best practices within the SimOps community. Let’s pioneer the future of engineering together.
The certification process will take approximately 2 hours.