Where is throughput actually constrained?
Map demand, takt, cycle time, queues, work in process, handoffs, changeovers, and resource loading to locate the governing system constraint—not merely the most visible delay.
Examine the production system →Design & manufacturing
Design for flow. Build for repeatability.
We connect product definition, process capability, bottleneck analysis, quality, and operating economics—using Lean and Six Sigma methods to focus improvement where it matters.
The operating question
Improve flow. Reduce variation. Protect the design.
Manufacturing performance is a connected system: geometry affects tooling, tolerances affect yield, work sequence affects throughput, and local improvements can move a constraint instead of removing it.
We establish the baseline, locate the governing bottleneck, test causes against evidence, and build a practical path from current state to controlled improvement.
Which sources of variation change the outcome?
Separate common-cause behavior from specific failure modes through measurement, capability evidence, and disciplined root-cause analysis.
What will make the gain hold?
Translate improvement into standard work, decision thresholds, ownership, and operating signals that sustain performance.
Methods applied to the problem
Lean flow · Six Sigma / DMAIC · bottleneck analysis · design for manufacture and assembly · statistical process control
Decision situations
Where design intent begins to meet operating risk.
We enter when a decision crosses technical and organizational boundaries—before teams commit to a path that is expensive to reverse.
Persistent bottleneck
Why does output remain constrained despite local productivity gains?
Quantify the constraint, its upstream and downstream effects, and the conditions required to elevate it without transferring the problem.
Unstable quality
What is driving scrap, rework, escapes, or inconsistent process performance?
Build a measurement and root-cause structure that links critical characteristics, process variables, and corrective action.
Production readiness
Can the process repeatedly achieve the intended result at the required rate?
Connect design maturity, capability, tooling, inspection, capacity, supplier readiness, and work definition in one readiness basis.
Ramp or process change
Which change will improve throughput, cost, or resilience without creating new technical risk?
Compare alternatives through performance, qualification effort, cycle time, cost, continuity, and residual risk.
Engagement outputs
A decision basis teams can inspect and use.
Work is sized to the question. Typical outputs organize evidence across product definition, production, quality, and supply.
Current-state flow & constraint map
Demand, takt, cycle time, queues, capacity, work in process, yield loss, process dependencies, and accountable owners.
Root-cause & capability model
Variation, failure modes, sensitivities, process capability, physical constraints, cost of poor quality, and decision thresholds.
Future-state plan & control system
Prioritized countermeasures, standard work, verification evidence, operating signals, ownership, and implementation gates.
Technical range
Engagements can draw on parametric CAD and assemblies, GD&T, design for additive manufacturing, thermal and structural analysis, instrumentation, controls, simulation, and model-versus-test validation. Formal product approval and quality-system accountability remain with the client.
Perspective
From geometry to throughput.
The strongest manufacturing decisions connect what the product must do, how the process behaves, where flow is constrained, and what evidence proves the improvement.