From Project to Program: What Actually Works in Simulator Lifecycle Management

It’s one of the most common questions we hear from customers:

“We’ve invested in a simulator… now how do we maintain it?”

At first glance, it sounds like a technical question.
But in reality, it’s a much bigger one.

Because maintaining a simulator is not just about keeping it running.
It’s about ensuring it continues to deliver value over time.

The Real Problem

Most simulators are delivered as projects, not systems.

At commissioning:

• The model is aligned with the plant
• Control strategies are synchronized
• Training scenarios are relevant
• Engagement is high

But over time:

• The plant evolves
• Controls change
• Graphics are updated
• Procedures shift

And the simulator… doesn’t.

This leads to what we call simulator drift:

• Loss of accuracy
• Loss of trust
• Reduced usage
• Eventually, underutilization

This is not a technology issue.
It’s a lifecycle management issue.

What Does It Mean to “Maintain” a Simulator?

Maintaining a simulator means ensuring it remains:

• Accurate → reflects the real plant
• Reliable → consistently available and usable
• Relevant → aligned with current operations and training needs

This requires managing six core system components:

• Hardware
• Software
• Models
• Training Scenarios
• Control Strategies
• Graphics

If any one of these drifts, the entire system loses credibility.

The Three Pillars of Simulator Lifecycle Management

Effective simulator maintenance is not a single activity.
It is part of a broader lifecycle approach:

1. Maintain

2. Improve

3. Expand

Let’s break these down.

1. Maintain — Preserve Accuracy and Trust

This is the foundation.

If the simulator is not aligned with the plant, nothing else matters.

Key Activities:

• Hardware uptime and infrastructure support
• Software patching and compatibility
• Model validation against plant data
• Synchronization of control strategies
• Alignment of graphics with current HMI
• Validation of training scenarios

Critical Step:

Benchmark the simulator at delivery

This creates a reference point to:

• Measure drift
• Validate updates
• Maintain consistency over time

Key Outcome:

👉 The simulator remains trusted by operators and engineers

2. Improve — Enhance Capability and Training Effectiveness

Plants evolve. Your simulator must evolve with them.

Key Activities:

• Hardware upgrades
• Software upgrades
• Expanding model fidelity
• Developing new training scenarios
• Enhancing instructor tools
• Introducing performance-based training

Training Evolution:

Move from:

• Exposure-based training

To:

• Performance-based programs

This includes:

• Scenario-based learning
• Operator scoring and evaluation
• Certification programs
• KPI-driven training

Key Outcome:

👉 The simulator becomes a high-impact training platform, not just a tool

3. Expand — Grow Value Across the Organization

This is where the real ROI is unlocked.

Most simulators are used only by operations.
That’s a missed opportunity.

Expansion Areas:

Operations

• Advanced upset training
• Certification programs
• SOP validation

Engineering

• Control strategy testing
• Management of Change (MOC) validation
• Design verification

Maintenance

• Procedure rehearsal
• Safety training
• Failure simulations

Key Outcome:

👉 The simulator becomes part of the fabric of the organization

Governance: The Missing Piece

Most simulators fail not because of technology, but because of lack of governance.

To maintain a simulator effectively, you need:

• Change tracking for model updates
• Documentation of training changes
• Version control across systems
• Validation workflows before deployment

Without this:

• Changes are lost
• Alignment breaks
• Trust declines

From OTS to Operational Infrastructure

One of the biggest mindset shifts:

Landing in operations does not mean the simulator stays an OTS

A well-maintained simulator should support:

• Operations
• Engineering
• Maintenance
• Management

It should be:

• Referenced in daily activities
• Used in decision-making
• Embedded in workflows

Enabling Lifecycle Management at Scale

Manual lifecycle management does not scale.

This is where systems like ProSync and ProSphere come into play.

ProSync (System Alignment)

• Continuous synchronization with plant systems
• Drift detection
• Automated updates
• Lifecycle visibility

ProSphere (Training & Programs)

• Structured learning programs
• Certification tracking
• Knowledge capture
• Performance-based training

Together:

• ProSync supports the system
• ProSphere supports the people

A Practical Approach

If you’re asking “how do I maintain my simulator?”, start here:

Step 1: Assess

• Benchmark current state
• Identify gaps and drift

Step 2: Stabilize

• Establish maintenance processes
• Implement synchronization strategy
• Introduce governance

Step 3: Scale

• Expand use cases
• Build training programs
• Embed across organization

Final Thought

The simulator is already a significant investment.

The real question is not:

“Do we have a simulator?”

It’s:

“Is our simulator actively driving value across our organization every day?”

Because lifecycle management is what determines whether a simulator becomes:

• A sunk cost
  or
• A strategic asset