Production Line
Optimization
Find the real production constraint, compare capacity against takt, quantify losses, and generate an implementation plan using Lean Manufacturing, Six Sigma, 5S, TPM and line balancing.
Engineering + Lean + AI
The numerical solver calculates takt, station capacity, bottleneck and demand gap first. AI is then used to turn those engineering results into a practical improvement plan instead of inventing production numbers.
Lean Manufacturing
Value stream mapping, takt, line balancing, Kaizen, ECRS, SMED, Kanban and standard work.
Lean Six Sigma
DMAIC, Pareto, root-cause analysis, SPC, process capability and control plans.
5S + TPM
Workplace organization, visual control, autonomous maintenance and downtime elimination.
Line capacity optimizer
Add real station cycle times and downtime. This simplified solver assumes serial flow and one dominant product family; mixed-model routing can be added later.
Production Requirement
| Station | Cycle | Downtime | Effective capacity | Status |
|---|
30 / 60 / 90 day improvement roadmap
Measure & stabilize
Confirm cycle study, downtime Pareto, standard work, 5S and critical quality losses.
Remove the constraint
Line balance, SMED, TPM, ECRS, fixture/process changes and targeted automation.
Control & sustain
SPC, KPI ownership, control plan, operator standards and digital monitoring.