Operations Leaders (COO / VP Operations)
When throughput volatility and execution noise increase, LeanStorming clarifies where instability is propagating and which control points need governance first.
About LeanStorming
Operational intelligence for leaders who need to see pressure before it becomes failure.
LeanStorming helps organizations identify instability caused by interacting constraints, queue propagation, and misaligned control decisions. Its methods are grounded in Dave Cortes' operator experience, but the story stays focused on one outcome: clearer operating control.
Executive Fit
LeanStorming is typically engaged when senior leaders need clear operating signals before instability turns into broader performance loss.
When throughput volatility and execution noise increase, LeanStorming clarifies where instability is propagating and which control points need governance first.
When improvement portfolios become fragmented, LeanStorming aligns initiatives to active constraints so CI effort translates into measurable operating stability.
When planning, inventory, and distribution behavior drift out of sync, LeanStorming exposes the interactions driving backlog growth and service instability.
When operating variance creates margin pressure, LeanStorming provides a clear operating signal framework so decisions are based on system behavior, not lagging summaries.
Operating Story
The work is intentionally simple: see the system clearly, choose the leverage point, install the control rhythm, and keep learning as the operation changes.
LeanStorming looks beneath lagging metrics to find where queues, constraints, and recovery risk are already moving.
The work separates high-leverage interventions from improvement noise so leaders know what deserves attention first.
Diagnostics become cadence, ownership, escalation rules, and follow-through that hold under operating pressure.
As constraints move, LeanStorming keeps the operating model tuned to system behavior instead of static reporting.
Founder

Founder perspective embedded into LeanStorming's diagnostic model.
Founder
LeanStorming was built to bring operator-grade diagnostic rigor into complex operating systems. Founder Dave Cortes, PE brings more than 20 years of direct leadership across operational excellence, supply chain performance, and transformation initiatives in manufacturing, healthcare supply chains, and distribution environments.
LeanStorming Foundation
The company stays focused on system behavior, but its diagnostic lens is shaped by Dave's experience leading real operating environments under pressure.
Leadership Credentials
Experience Scope
Operator Impact
Proof In Practice
LeanStorming's credibility is strongest when the operating problem, action, and measured result can be seen together.
Problem
Mapped active constraints and reset the operating cadence around the recovery window.
10-30% throughput improvement under constraint-focused execution.Problem
Built governance around inventory reliability, stockout signals, and escalation discipline.
Inventory reliability up to 99.9%+ and up to 85% reduction in stockouts.Problem
Focused transformation work on the few operating changes with measurable financial leverage.
$5M-$10M+ operational savings through Lean redesign.Trusted by operations teams in complex environments
LeanStorming has supported operational systems across distribution, manufacturing, and regulated supply chains.
FleetPride
Truck parts distribution
Automatic Group PR
Access control systems
Johnson & Johnson
Regulated supply chain
Fitness for Life
Fitness equipment and sales
Moderna
Biopharma operations
HH Global
Creative production and procurement
Operational impact from LeanStorming leadership
10-30%
Throughput improvement under constraint-focused execution
99.9%+
Inventory reliability supporting service confidence
85%
Reduction in stockouts and expedite pressure
25%
Productivity improvement reducing overtime creep
$9M+
Operational savings from margin leakage reduction
Start the Conversation
Use the first conversation to map where pressure is propagating, identify the likely control point, and decide which LeanStorming entry path fits the operating reality.