Different industries. Different processes. One connected approach.
From continuous process industries to discrete manufacturing, Vector11 adapts its engineering, execution and intelligence solutions to the operational realities of each factory.
Process, discrete and hybrid manufacturing
Our approach starts with how your products are made, not with a template. Steel and pipe manufacturing are areas of proven leadership experience; the same discipline applies across manufacturing.
Process manufacturing
Continuous and batch operations where parameters, recipes and lot genealogy decide quality.
Discrete manufacturing
Individual parts and assemblies where routing, serial traceability and line performance matter most.
Hybrid manufacturing
Continuous processes that produce individually identified products, combining both sets of needs.
Steel & Metals
Material genealogy, parameter capture against product identity, equipment performance and quality-gated release.
Typical challenges
- Linking heat, slab and coil identities through every process step
- Proving process parameters for each product, not just each shift
- Seeing yield, scrap and rework losses while they can still be acted on
Plastics & Polymers
Line monitoring, lot genealogy, recipe and parameter capture, and downtime analysis.
Typical challenges
- Lot traceability from resin to finished product
- Recipe and parameter drift on extrusion lines
- Unplanned stoppages and changeover losses
Building Materials & Process
Controls modernisation, equipment and energy monitoring, quality data capture and timely reporting.
Typical challenges
- Ageing control systems on continuous processes
- Limited visibility of equipment condition, energy use and losses
- Manual quality and production reporting
Oil & Gas
Connected control-system and historian data, equipment health monitoring and reliable production reporting, with AI-based predictive maintenance and digital twins through our strategic partner Algo8.
Typical challenges
- Critical rotating equipment where a single unplanned trip can stop a whole unit
- Plant data spread across DCS, SCADA, historians and asset-management systems, with no single view
- Maintenance and turnaround planning without live, central visibility of asset condition
- Safety and compliance obligations across hazardous areas
Industrial AI with Algo8: In a refinery deployment, Algo8’s predictive maintenance for the main air blower of a fluid catalytic cracking unit monitors more than 200 signals to warn of failures early. Algo8 reports savings of about US$7.5 million for each unplanned shutdown avoided. Read the Algo8 case study (opens in a new tab)
Automotive & Components
Serial genealogy, quality gates, process monitoring and OEE visibility.
Typical challenges
- Serial-level traceability demanded by customers
- In-process checks that must stop non-conforming parts
- Line performance across shifts and models
Engineering & Fabrication
Work-order execution, material and part tracking, digital inspection records and equipment utilisation.
Typical challenges
- Complex work orders with many parts and operations
- Tracking material and sub-assemblies across bays
- Keeping weld, inspection and dimensional records with the job
Pipes & Tubes
Route governance, product-level traceability, inspection and lab integration, hold and release, and certificate-ready records.
Typical challenges
- Long routes through forming, welding, inspection, testing, finishing and coating
- Product-level identity with repair and retest loops
- Certificates that depend on complete, auditable records
Your industry isn’t listed?
Downtime, quality, traceability, material flow, energy and decision-making challenges look similar across manufacturing. We start with your process and adapt from there.
Tell us about your plantTell us how your products are made.
Every sector has its own routes, inspections and records. We start by understanding yours.