Battery workflows
Each workflow names the team that owns it, the concrete problem they hit on the line, and the consequence Lychee helps reduce.
Flag elevated defect risk earlier than downstream confirmation alone allows.
What it is
Earlier risk signals from fragmented process, lot, and quality history.
Why it matters
Upstream drift compounds scrap before later-stage failure is obvious.
Who owns it
Quality, process, and manufacturing engineering.
What it reduces
Additional scrap, rework, and lost output.
Rank likely upstream contributors so teams do not start every investigation from zero.
What it is
A narrower search space around likely process windows, events, and conditions.
Why it matters
Engineering time is lost reconstructing plant context across systems.
Who owns it
Process engineering, cell engineering, and failure analysis.
What it reduces
Diagnostic drag and prolonged instability.
Support faster learning when new lines or restarted lines are still unstable.
What it is
Earlier visibility into recurring instability patterns during ramp and restart.
Why it matters
Ramp compresses decision cycles while magnifying the cost of drift.
Who owns it
Production leadership and manufacturing engineering.
What it reduces
Yield loss, delay, and schedule slippage during scale-up.
Create a clearer operating story across process, inspection, and quality systems.
What it is
A usable line view across machine history, lot context, inspection, and quality outcomes.
Why it matters
Most factory systems were not built to tell one end-to-end story.
Who owns it
Operations, manufacturing systems, and technical leadership.
What it reduces
Blind spots and duplicated investigation effort.
Detect downstream impact when the plant changes a setpoint, recipe, or supplier.
What it is
Earlier detection of how a parameter or material change is propagating through the line, before downstream QC confirms or denies it.
Why it matters
Validation that should take hours often takes weeks, slowing every change-control loop during ramp and steady state.
Who owns it
Process engineering, change-control review boards, and manufacturing engineering.
What it reduces
Stalled change-control queues and downstream surprises after seemingly small upstream changes.
Build richer per-cell process traceability as a byproduct of better operating visibility.
What it is
Process-history data structured to support per-cell traceability obligations under chapter VII of the EU Battery Regulation, including digital battery passport requirements from 2027.
Why it matters
Manufacturers exporting to the EU face per-cell data requirements that most plants do not currently capture cleanly.
Who owns it
Regulatory affairs, operations, and manufacturing systems leadership.
What it reduces
Compliance gap and the cost of retrospective data reconstruction under EU obligations.
Next step
Choose the first line, defect family, and KPI to test.
Scope A PilotReview the first-pilot structure and data expectations.
See PilotsFor broader manufacturing-system or ecosystem discussions.
Discuss Strategic Deployment
