04 - Factory OS
OPERATIONAL INTELLIGENCE | RIBA 5-6
An operating system for development portfolios. Factory OS carries the intelligence generated across reference design, planning, construction and operations, and holds it as a structured asset.
Overview
Traditional digital twins provide a neutral software layer. Factory OS is built to do more: a structured digital environment where models, specifications, supplier information, design changes, commissioning records and operational feedback are organised around the asset rather than trapped in separate project files. It tells you what has been designed, why the decisions were made, what has been procured, how it was installed, and how the asset should adapt as requirements change.
Overview
Traditional digital twins provide a neutral software layer. Factory OS is built to do more: a structured digital environment where models, specifications, supplier information, design changes, commissioning records and operational feedback are organised around the asset rather than trapped in separate project files. It tells you what has been designed, why the decisions were made, what has been procured, how it was installed, and how the asset should adapt as requirements change.
A complete integration scope built around your equipment, operators, and production targets.
[01]
PLM Strategy
How information is created, governed and reused across the development cycle.
[02]
Portfolio information architecture
One structure across every asset, so data is comparable rather than site specific.
[03]
Digital twin brief and roadmap
Asset data structuring and governance
[04]
Ownership, standards and change control on the information itself.
Guarding, interlocks, and standards built in.
[05]
Reference design feedback loops
What operations learn flows back into Blueprint, so the standard improves rather than ages.
[06]
Operational readiness and handover
The estate arrives with its own intelligence, not a folder of record drawings.
A complete integration scope built around your equipment, operators, and production targets.
[01]
PLM Strategy
How information is created, governed and reused across the development cycle.
[02]
Portfolio information architecture
One structure across every asset, so data is comparable rather than site specific.
[03]
Digital twin brief and roadmap
Asset data structuring and governance
[04]
Ownership, standards and change control on the information itself.
Guarding, interlocks, and standards built in.
[05]
Reference design feedback loops
What operations learn flows back into Blueprint, so the standard improves rather than ages.
[06]
Operational readiness and handover
The estate arrives with its own intelligence, not a folder of record drawings.
[01]
Compare
Assets held to one information standard can be assessed side by side: capacity, performance, cost, constraint.
[01]
Compare
Assets held to one information standard can be assessed side by side: capacity, performance, cost, constraint.
[02]
Plan
Upgrades, maintenance, procurement and capacity planning run from current data rather than reconstructed history.
[02]
Plan
Upgrades, maintenance, procurement and capacity planning run from current data rather than reconstructed history.
[03]
Repeat
Reference designs, supplier intelligence and lessons carry into the next deployment instead of dying at handover.
[03]
Repeat
Reference designs, supplier intelligence and lessons carry into the next deployment instead of dying at handover.
[04]
Sell
Site capacity, phasing options and technical constraints in one environment, so growth can be explained to customers with evidence behind it.
[04]
Sell
Site capacity, phasing options and technical constraints in one environment, so growth can be explained to customers with evidence behind it.