Factova Control: screen showing real-time PLC status, protocols, and tag values for each piece of equipment

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Factova TestOn

An AI-based test automation solution that completes operational validation before equipment arrives

WHY

Why Is It Needed?

In building new plants and production lines, equipment specifications, communication rules, operating scenarios, and test logs are scattered across many documents and people. Operational integration errors are often discovered only after equipment arrives.

01 Inconsistent validation criteria across equipment and vendors

02 Repetitive manual testing and result compilation

03 Root cause analysis that depends on experts' experience

VIDEO

Factova TestOn at a Glance

What does it validate?

Defines the status, commands, responses, and processing conditions exchanged between production equipment and operating systems as Steps, and validates operating scenarios made up of multiple Steps

WHERE

Where Is It Used?

Target Industries

Any manufacturing industry that needs pre-validation between production equipment and operating systems

When to Apply

New plants, line expansions, equipment replacement, operating specification changes, overseas/remote builds

Target Customers

For new plants, line expansions, equipment replacement, operating specification changes, and overseas/remote builds: plant build PMs, operations and equipment owners, and equipment vendors

KEY CAPABILITIES

Validation Control Tower

Manage validation quality across multiple sites and equipment on a single standard

01 Unified Overall Status

GLOBAL VISIBILITY · Readiness and execution status by site and equipment View readiness and results across multiple sites, equipment, and scenarios at a glance

02 Traceable Judgment Basis

EVIDENCE LINK · Traceability from specification to result and action Manage the links among Spec → Scenario → Result → Action and retest history

03 AI Decision Support

AI PRIORITY · Support for schedule and quality risks and next actions Analyzes candidate failure causes and schedule risks to suggest action priorities

One Source of Validation Truth: standardize validation criteria and execution evidence, and manage quality and schedule risk across sites in the same way

MODULES

Integrated Validation Control

SECS/GEM · PLC Type · JSON Type

01 AI BUILD Structure equipment types, communication methods, and conditions

02 DESIGN Finalize specifications, scenarios, and judgment rules

03 EXECUTE Manual, automated, and parallel validation with real-time judgment

04 DIAGNOSE AI candidate causes, actions, and retest history

IMPACT

Benefits

Target maximum schedule reduction

Pre-Arrival Validation

70% ↓

Target maximum schedule reduction

On-Site Validation

70% ↓

Execution Evidence Verified on Product Screens

AI-based project, specification, and scenario drafts

FAIL evidence linking, AI analysis, and retesting of the affected range

WHY LG CNS

Why LG CNS

01 Reuse of Validation Assets

Uses the specifications, scenarios, and judgment criteria from LG CNS equipment automation projects as assets to reduce initial preparation effort

02 Asset-Grounded AI

Suggests drafts matched to project conditions and links validation criteria, actual data, and execution logs to provide the basis for AI analysis

REFERENCE

References

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