1. What Each Discipline Solves
Lean·Delivering the same value with fewer resources by identifying and removing waste — overproduction, waiting, transport, rework — so value flows smoothly.
Quality management keeps output consistently conforming: it manages the process and prevents defects instead of inspecting finished goods. Stabilize first, speed up second — that order is universal.
2. How the Methods Fit Together
| Method | Core question | Typical tools |
|---|---|---|
| Lean | Where does flow get stuck? | Value stream map, 5S, kanban, quick changeover |
| Six Sigma | Where does variation come from? | DMAIC, SPC, cause-and-effect, error-proofing |
| Total quality | How does quality become everyone's job? | Standardization, quality circles, policy deployment |
PDCA is the general improvement loop; DMAIC fits data-heavy quality problems. The tool matters less than keeping the loop turning.
3. A Practical Adoption Path
Start with 5S
A chaotic shop floor means lean talk is empty. 5S is a microscope for problems, not a cleaning contest.
Map the value stream
Draw the flow from order to delivery and mark waiting, transport and rework. Visible waste becomes a target.
Hit the bottleneck
Focus improvement on the constraint and the top three wastes. Averaging effort equals wasting it.
Standardize, then repeat
Write gains into standard work and run the next PDCA cycle, or performance will slide back.
4. New Tools in the AI Era
- Vision inspection makes checking cheap and consistent, turning sampling into full inspection.
- Predictive quality uses process parameters to flag defects before they happen.
- As inspection gets cheap, competition moves upstream to design quality and process capability.