About Simulation Model & Environment
Standard (SMES)

Simulation Model & Environment Standard (SMES) is the fifth Parent Standard of
SIMULOS® — Simulation Governance Architecture.

It governs the point at which a defined Reality Representation and governed
Simulation Assumptions are transformed into the actual model and environment
through which simulation activity can occur.

Canonical Definition

Simulation Model & Environment Standard (SMES) defines the governance
conditions under which a simulation model and its simulation environment are
constructed, structured, configured, parameterized, bounded, versioned,
controlled, and maintained as an identifiable execution context capable of
supporting governed simulation activity.

Why This Standard Exists

A simulation can have a clearly defined object, purpose, representation of
reality, and assumptions and still produce misleading results if the model or
environment implementing them is incorrectly structured or configured.

SMES therefore creates a governed bridge between:

what the simulation intends to represent

and:

the executable structure through which that representation is simulated.

It makes model structure, environment configuration, parameters, boundaries,
dependencies, versions, and material changes visible and governable rather
than leaving them as hidden technical implementation details.

What SMES Governs

SMES governs the simulation-specific relationship between:

Simulation Model → Simulation Environment → Boundaries → Parameters →
Configuration → Versions → Controlled Execution Context

It establishes whether the model and environment being used are actually the
governed model and environment intended for the simulation.

This includes governance of model structure, environment configuration,
boundary interactions, parameterization, model-environment compatibility,
configuration control, version continuity, material changes, configuration
drift, and reconstruction.

Governance Flow

Governed Reality Representation

↓

Governed Simulation Assumptions

↓

Simulation Model Structure

↓

Simulation Environment Configuration

↓

Boundary & Interaction Definition

↓

Parameterization

↓

Model–Environment Compatibility

↓

Configuration & Version Binding

↓

Controlled Simulation Execution Context

Governance Boundary

SMES begins when the governed Reality Representation and Simulation
Assumptions must be converted into an executable simulation structure.

It ends when the model, environment, parameters, boundaries, configuration,
and versions are sufficiently established and controlled for the next stage of
the SIMULOS® lifecycle.

It does not determine whether the resulting simulation is universally valid,
whether its outputs justify operational reliance, or whether the simulated
environment is equivalent to actual Operational Reality.

Architectural Position

Within the 12-Parent-Standard SIMULOS® lifecycle:

Simulation Object → Simulation Purpose & Scope → Reality Representation →
Simulation Assumptions → [Simulation Model & Environment] → downstream
simulation governance

SMES therefore occupies the transition between conceptual simulation design
and the controlled technical structure required for simulation execution.

Relationship to Other OOF® Architectures

ORA™ governs actual Operational Reality; SMES governs the constructed
simulation environment.

VALIDOS® governs validation questions and resulting validation claims; SMES
governs how the simulation model and environment themselves are established
and controlled.

INTEGROS® governs integrity as a distinct governance space; SMES does not
duplicate general integrity governance.

ADIT® may provide evidence and audit governance for model, configuration,
version, and change records.

Why It Matters

Two simulations can appear to test the same problem while actually using
different models, environments, parameter sets, boundaries, or versions.

Without explicit governance of those differences, their outputs may appear
comparable even when their underlying execution contexts are materially
different.

SMES makes those differences governable and traceable.

A simulation becomes structurally governable only when the model and
environment through which it operates remain identifiable, bounded,
configured, parameterized, versioned, controlled, and traceably connected to
the reality representation and assumptions they implement.