ASU utilisation and output
Capacity utilisation against target and daily production of oxygen, nitrogen, argon and CO2, with Vis-a-Vis comparison against the same days last month.
- Industries
- Industry, energy & environment
- Chemicals & Industrial Gases
Chemicals & industrial gases
When electricity drives your cost —
When electricity drives your cost —
every margin point needs evidence.
TURBOARD brings air separation, filling, cylinder logistics, energy prices and sales into one governed model, so industrial gas and chemical producers see cost, margin and delivery performance per product and region.
The challenge
Margins erode quietly when cost and price live in different systems.
Industrial, medical and specialty gas production is energy-intensive: in air separation, electricity is typically the largest cost item. Production data comes from SCADA and plant historians, cylinder and tank movements from logistics systems, electricity and raw material prices from market indices, and selling prices from the ERP. Reviewed separately, a rising cost line can run for months under a flat price before anyone sees the margin narrowing.
TURBOARD blends plant, logistics, energy and commercial data into a single model with shared definitions. Unit cost per Nm³ is broken down into electricity, raw material, labour and maintenance, compared with the selling price and with competitor prices where that data exists, and followed down to plant, gas and customer. Production, logistics and finance read the same figures, and pricing decisions start from evidence rather than estimates.
500K+business users work with TURBOARD
Since 2004enterprise BI engineering, founded in Chicago
Cloud or on-premisefully on-premise deployment, AI included
PatentedBI technology, including a granted US patent
Live JAS demo
Argon cost and pricing analysis
A production operations dashboard with cost trend, cost composition, ASU utilisation, cylinder cycle rate and regional delivery times. JAS Explain summarises it, then JAS answers what drove this month’s argon cost increase and how the selling price should change, with the margin and market share of each price option side by side.
An interactive TURBOARD + JAS scenario running in your browser. Sample data.
See this with your data →
What you can do
Production, logistics and commercial KPIs in one place
Energy and unit cost
Electricity unit price and consumption per Nm³ tracked alongside the cost composition, showing how much of each margin change comes from energy.
Price and margin management
Selling price, production cost and gross margin per gas, customer segment and region, with conditional formatting marking erosion below target.
Cylinder and tank tracking
Active and idle cylinders, cycle rates, customer tank levels where telemetry is available, and assets that have not come back.
Delivery performance
Trips, delivery times and volumes by region and depot against target, showing where routes and fleet need attention.
Quality and batches
Purity and batch results against specification, traceable from batch to filling line and customer.
Challenges & solutions
Where gas producers lose margin — and how TURBOARD helps
?Energy shocks reach the P&L late
Electricity price increases appear in cost reports weeks after they hit production.
✓Energy linked to unit cost
Electricity prices and plant consumption feed the same model as cost and price, so the margin impact is visible as the data refreshes.
?Idle assets
Cylinders sit at customer sites for months, tying up capital and slowing cycle rates.
✓Cylinder cycle analysis
Cycle rates and idle cylinders by customer and region, with scheduled reports sending the list to the responsible team.
?Separate departmental reports
Production, logistics and quality each prepare their own exports, in their own format.
✓One platform, role-based access
Each team builds its own analyses on the governed model and exports to PDF, Excel, PowerPoint or Word; row-level permissions decide who sees what.
?Sensitive data and the cloud
Process parameters and commercial terms must not leave the company network.
✓Fully on-premise, including AI
TURBOARD and JAS run inside your infrastructure, with offline small language models where required.
JAS · Just Ask Simply
Ask what drove the cost — and what it means for the price
JAS, the AI assistant built into TURBOARD, answers from the governed production and cost model, and can run fully on-premise when formulas and contracts must stay inside. Ask in plain language and she finds the data, builds the chart and explains it. With personas, a production manager reads about capacity bottlenecks while the CFO reads about price and margin — from the same numbers.
Explore JAS capabilities →JJASQuestions you can ask
- Why did argon production cost rise this month compared with last month?
- Build a dashboard showing ASU capacity utilisation and the energy cost trend.
- Compare liquid nitrogen delivery times by region against the 60-minute target.
- Which customers hold cylinders that have been idle for more than six months?