← All guides
Zero data egress
Create a site, set your sub-sector so the lens fits, load your production and cost data, then read OEE, cost of quality, job performance, stock risk and full batch traceability.
Stage 1 of 6 · Per site
Manufacturing Hub — create a site and add jobs
Each site holds its own data. Your sub-sector sets the language and the checks that apply.
What you see
- A create-a-site panel with a sub-sector selector
- An add-jobs panel
- Your sites and jobs, each with a completion ring
What you do
- Name the site and pick the sub-sector
- Add the jobs you are running
- Open a site to load data
What you get
- A site scoped to its own data
- A lens tuned to your kind of manufacturing
- Ready for the Data Workspace
Stage 2 of 6 · Per file
Data Workspace — load your operational data
Drop each report and the tool auto-detects which is which. Multi-sheet Excel is split for you.
What you see
- Recognised inputs: work centres, production log, quality/defects, cost standards, stock report, deliveries/GRN, batches, lot genealogy
- Auto-detected sheet mapping
- A zero-data-retention banner
What you do
- Upload your production log and quality data
- Add cost standards, stock and GRN files
- Add batch and lot files if you need traceability
- Confirm the auto-detected mapping
What you get
- Every file processed locally
- Sheets classified and mapped for you
- Data ready across OEE, cost, jobs, stock and batch
Stage 3 of 6 · Ongoing
OEE — yield, waste and where the time goes
Overall equipment effectiveness split into availability, performance and quality, with the losses behind each.
What you see
- OEE with its three components
- A yield and waste view
- A where-the-time-goes breakdown of downtime
What you do
- Read OEE against your target
- See which of the three factors costs you most
- Drill into the biggest downtime reasons
What you get
- A single effectiveness number you can track
- The specific loss to attack first
- A measured baseline for any change
Stage 4 of 6 · Ongoing
Cost & Cash — cost of poor quality and WIP
What scrap and rework really cost, and how much cash is tied up in unfinished work.
What you see
- Cost of Poor Quality from your data, plus a hidden-cost estimate you set
- Work-in-progress cash
- A link to LiquidityAssist for the full cash-conversion cycle
What you do
- Review the visible scrap and rework cost
- Set the hidden-cost multiplier for your plant
- Connect LiquidityAssist for the full cycle
What you get
- The true cost of quality, not just the visible part
- Cash tied up in WIP made visible
- A bridge into working-capital analysis
Stage 5 of 6 · Ongoing
Jobs — earned value, reconciliation and the bottleneck
Per-job performance, the data gaps behind a shaky index, and the work centre that caps throughput.
What you see
- Earned value per job
- A reconciliation view: cost with no operation, operations with no cost
- The bottleneck work centre nearest capacity
What you do
- Read job performance and forecast
- Fix the reconciliation gaps at source
- Act on the constraint that caps output
What you get
- A defensible view of job cost and schedule
- Clean data behind the indices
- The one work centre to relieve first
Stage 6 of 6 · When you need it
Stock & Batch — shortages, supplier performance and recall trace
Material shortages against the plan, on-time supplier delivery, and batch traceability for shelf-life and recalls.
What you see
- Predicted shortages against the plan
- Supplier on-time delivery from your goods-receipt data
- Shelf-life risk and a recall-trace tool
What you do
- Review shortages before they stop the line
- Hold suppliers to their delivery record
- Enter a suspect raw lot to trace every finished lot that contains it
What you get
- Advance warning of stock-outs
- An evidence-based supplier scorecard
- Recall exposure in seconds, not days