Scoring: structuring obsolescence risk

With module 2, the platform introduces a scoring capability to assess the risk of obsolescence.

Once assets are mapped, the next logical question emerges: How exposed to risk are we?

Scoring is designed to provide a structured data-driven answer.

From mapping to assessment

Obsolescence risk originates from multiple places: a combination of factors affecting equipment and spare parts over time.

Module 2 introduces a diagnostic capability that evaluates:

• Individual spare parts

• Complete equipment

• Whole production sites

Rather than assigning arbitrary ratings, the system calculates a structured risk score based on defined criteria.

A structured diagnostic

The scoring is based on a comprehensive set of obsolescence factors.

To launch a diagnostic, organizations provide structured information about their equipment or spare parts. This can be entered manually or imported directly from existing data sources.

The evaluation relies on technical and contextual elements such as:

• Reference identification

• Brand and model

• Manufacturing information

• Lifecycle status

• Operational and supply-related parameters

• And other complementary parameters…

Each factor:

• Reflects a specific risk dimension

• Has a weighting that evolves depending on the type of part and its associated market

• Contributes proportionally to the overall result

Some factors have greater influence than others. The objective is not to treat all signals equally but to reflect their relative impact on operational continuity.

The diagnostic produces:

• A risk score

• A confidence level

The interpretation is intentionally simple:

• Lower score = lower risk

• Higher score = higher exposure

This structure transforms dispersed technical information into a coherent and actionable assessment.

From parts to systems

Risk rarely exists in isolation.

A spare part may appear manageable individually, yet represent a significant exposure when aggregated at equipment or system level.

The scoring logic therefore applies at multiple layers:

• Component level

• Equipment level

• Site level

As one moves up the structure, the score reflects an aggregated average, offering a complete view of exposure across production lines or sites.

Reducing complexity, not adding to it

Organizations already manage large volumes of technical information.

To facilitate adoption, the module supports structured data imports alongside manual input. The objective is to integrate the module into existing industrial environments and workflows.

This diagnostic capability marks a major step in the platform’s evolution, extending mapping into structured evaluation.

Looking ahead

Scoring establishes a quantitative foundation for prioritization, decision-making, and long-term risk management.

Module 2 builds on mapping by introducing measurable risk assessment across assets and systems.