Supplier on-time delivery
Overall OTD, delayed orders and average delay days, with OTD rates by category against target. Open a critical supplier to see its order completion and quarter-on-quarter decline.
TURBOARD brings readiness levels, earned value, supplier delivery and local content into one governed model for defence programmes, running fully on-premise, with JAS on offline small language models.
Readiness levels are tracked by engineering, cost and schedule by programme control, deliveries in the ERP and supplier portals, and local-content and offset obligations in yet another set of spreadsheets. Before a programme manager can take a critical decision, someone has to gather all of it by hand — and by the time it reaches the monthly review, the deviation has already grown.
TURBOARD unifies these sources in a single analytics platform, from the TRL/MRL radar to supplier on-time delivery and CPI/SPI. Everything runs inside your own infrastructure, air-gapped if required: the platform, the data and JAS with offline small language models. Row-level permissions keep each programme, subsystem and supplier view limited to the people cleared to see it.
Average TRL and MRL, critical subsystems and a TRL-versus-MRL radar against target for a sample aircraft programme. Watch the demo drill into the Engine & Propulsion subsystem and JAS explain why it holds the programme’s readiness down.
Overall OTD, delayed orders and average delay days, with OTD rates by category against target. Open a critical supplier to see its order completion and quarter-on-quarter decline.
Programme local-content rate against target, offset obligations completed and the domestic-versus-imported share of each subsystem, down to its suppliers and critical components.
Technology and manufacturing readiness of every subsystem on one radar, compared with target, with the largest gaps ranked first.
CPI, SPI, planned value, earned value and actual cost by phase and subsystem, with estimate at completion calculated from actual performance.
On-time delivery and delay days by supplier over 6 to 12 months, and the programmes each delay affects.
Domestic and imported shares by subsystem, offset obligations realised and remaining, and the trend towards each programme’s target.
All programmes side by side on readiness, cost, schedule and supply, with patented dashboard cloning for like-for-like comparison.
Scheduled reports to programme boards and authorities, each recipient filtered by row-level permissions; conditional formatting flags thresholds as they are crossed.
Readiness, supplier, cost and local-content data live in different systems; consolidation is a weekly spreadsheet job.
ERP, supplier portals and project tools feed one governed model, with every metric on the same screen.
Variances learned in monthly presentations leave little time to intervene.
Visualisations refresh with the source data, and conditional formatting marks deviations as soon as they appear.
Subcontractor performance reaches programme management late and incomplete.
OTD, delay and quality metrics on one supplier-level scorecard, linked to the programmes they affect.
Classified and export-controlled data cannot be sent to external AI services.
JAS runs on offline small language models inside your network; prompts and data never leave it.
JAS, the AI assistant built into TURBOARD, answers from the governed programme model and the reports your teams already trust. Ask in plain language and she writes the query, builds the chart and cites her sources; JAS Explain writes an interpretation of any dashboard, tailored by persona to a programme director or a subsystem engineer. In an on-premise installation she runs entirely on offline small language models.
Explore JAS capabilities →We will model a sample of your readiness, supplier or earned-value data and show how TURBOARD and JAS run fully on-premise.