When you’re managing operations where a single mistake can cost millions—or put lives at risk—process discipline stops being theoretical.

Josh “Tree” Dittmar shares lessons from two worlds where operational excellence is non-negotiable: semiconductor manufacturing and U.S. Navy flight operations. From planning multi-million-dollar semiconductor capacity years in advance to coordinating aircraft launches on an aircraft carrier, this episode explores what it really takes to lead in complex, high-stakes environments.

The discussion dives into variability, operational constraints, safety systems, AI adoption, leadership culture, and why the best operators never stop learning.

00:00 – Introduction

Operations isn’t magic. It’s systems, tradeoffs, discipline, and leadership under uncertainty.

If you lead teams, manage production systems, or operate in high-complexity environments, this conversation will change how you think about operational performance.

A better operation starts with understanding the science behind it. Discover how variability, flow, and operational constraints shape performance in the real world with Operations Science Applied: bit.ly/OSA2026

Don’t forget to:

#OperationsManagement #Semiconductor #Leadership #Manufacturing #OperationsScience #SupplyChain #ArtificialIntelligence #SystemsThinking #LeanManufacturing #Engineering #Navy #OperationalExcellence #SemiconductorIndustry #BusinessLeadership #OSI

Global supply chains don’t fail all at once.

They fail slowly—through fragile systems, poor data discipline, supplier consolidation, regulatory bottlenecks, and operational decisions that look efficient until disruption exposes the cracks.

Kate Kowalczuk has spent her career operating inside that reality.

From pharmaceuticals and medical devices to chemicals and consumer products, she’s worked across highly regulated industries where one supplier issue, one manufacturing change, or one delay in approval can ripple across an entire operation.

What makes this conversation compelling is how clearly it reveals the hidden complexity behind modern operations.

A winter storm in Texas disrupts 25% of global chemical capacity.

Kate brings a grounded perspective to all of it.

She explains why resilience has become just as important as efficiency, why sustainability increasingly matters operationally (not just environmentally), and why strong systems still depend on disciplined people behind them.

The conversation also takes a personal turn as she reflects on growing up in Poland under the Iron Curtain, and how that experience shaped her views on minimalism, leadership, resilience, and overconsumption.

⏱️ Key Discussion Points:

00:00 Introduction

Operations become far easier to improve when you understand the science behind them. Explore the principles behind flow, variability, and operational performance with Operations Science Applied: bit.ly/OSA2026

Don’t forget to:

#Operations #SupplyChain #Procurement #Leadership #OperationalExcellence #ERP #Manufacturing #AI #Sustainability #OperationsScience #SupplyChainManagement #Pharmaceuticals #OSI

What does it take to scale continuous improvement across multiple plants, cultures, and operating realities—without turning standardization into bureaucracy?

Andre Scarance shares what global manufacturing leaders often learn the hard way: improvement doesn’t scale through tools alone.

It scales through alignment, clear mental models, disciplined business systems, and leadership that makes improvement everyone’s responsibility.

We explore why some plants sustain gains while others slip back into firefighting, how productivity and quality should never be traded against each other, where AI may fit into future operations systems, and why changing standards too often can quietly destroy performance.

If you care about operational excellence, manufacturing leadership, Lean, or building systems that hold under pressure, this one delivers.

00:00 Intro

👍 Like this video

Sustainable improvement starts with understanding how operations actually behave. Learn the science behind flow, variability, and performance in Operations Science Applied: bit.ly/OSA2026

#OperationalExcellence #ContinuousImprovement #LeanManufacturing #OperationsLeadership #Manufacturing #BusinessSystems #Leadership #ProcessImprovement #IndustrialEngineering #OperationsScience #SupplyChain #AIinManufacturing #OSI

Most organizations don’t struggle because they lack talent.

They struggle because they move too slowly, operate in silos, and avoid the hard changes everyone already sees coming.

This conversation goes deep into what happens when you bring FMCG-level execution discipline into a pharmaceutical environment—and why most teams resist it at first.

Adil Belrhzal shares how he built a fast-growing pharma operation inside a diversified group by combining multinational rigor, startup speed, and a culture that allows people to fail fast and learn faster.

There’s a simple idea at the center of this conversation that most leaders overlook. If people don’t understand what’s in it for them, nothing changes.

00:00 – Introduction to Operations Science Podcast

If this conversation made you rethink how you run your operation:

👍 Give it a like

Operational excellence shouldn’t rely on guesswork. Learn the science behind flow, variability, and performance in Operations Science Applied: bit.ly/OSA2026

#Operations #Leadership #Pharma #FMCG #OperationalExcellence #AIinBusiness #SupplyChain #LeanLeadership #BusinessStrategy #Execution #OSI #H&SGroup #DislogGroupHealthcare #Steripharma #GlobalPharmaceuticalIndustryAdvisors #TransformationalLeadership

Chris Morehouse leads operations across seven manufacturing plants where labor is tight, margins are real, and leadership consistency directly shapes performance.

What makes this conversation especially valuable is Chris’s grounded perspective: Lean transformation does not begin with tools—it begins with standards, leadership routines, and a shared understanding of what good looks like.

From sustaining gains through layered process audits to building maintenance capability, reducing tribal knowledge, applying Factory Physics, and exploring how AI can support predictive maintenance and troubleshooting, this discussion is packed with practical lessons for operations leaders.

If you’re leading plants, building systems, or trying to reduce variability across teams, this conversation offers a blueprint for turning operational chaos into disciplined flow.

00:47 Why early Lean efforts failed

If this conversation gave you a new lens on leadership, Lean, or operational systems:

✅ Like and subscribe for more authentic operations conversations

Stop managing in the dark. Learn the science behind every operation—and finally get variability under control.

Get your copy of Operations Science Applied today: bit.ly/OSA2026

#OperationsLeadership #LeanManufacturing #FactoryPhysics #ContinuousImprovement #OperationalExcellence #ManufacturingLeadership #AIinManufacturing #LeadershipDevelopment #SupplyChain #IndustrialEngineering #OSI

Big transformation programs rarely fail because of technology alone. They fail when teams optimize systems instead of outcomes.

Marta Moreira Rodriguez shares what nearly 25 years in transformation leadership has taught her about turning complexity into measurable business value—across ERP modernization, CRM workflows, ServiceNow, AI agents, process redesign, and enterprise-scale change.

What stands out in this conversation is how she frames transformation through business outcomes first, systems second.

From reducing unnecessary ERP customization to using agentic AI for document validation, tender workflows, and order processing, Marta breaks down what actually works when organizations are trying to modernize legacy operations without losing compliance, speed, or customer experience.

If you lead PMOs, digital transformation, ERP programs, operations, supply chain, or enterprise delivery teams, this one will feel very familiar.

00:00 Why transformation should start with business value

If you're leading transformation work right now, the most valuable takeaway may be this: start with the value stream, not the software vendor.

Don’t forget to:

#OperationsScience #DigitalTransformation #ERP #AI #ProjectManagement #Leadership #BusinessTransformation #SAP #ServiceNow #OperationalExcellence #EnterpriseSystems #ChangeManagement #OSI

Electric vehicles are accelerating faster than ever.

But there’s a massive operational challenge most people aren’t talking about. What happens to the batteries when they reach end-of-life?

This conversation explores the systems, strategy, and leadership required to build large-scale battery recycling operations, from the ground up. From navigating uncertainty in a brand-new industry to balancing capital investment, AI, hiring, and operational excellence—this is a real look at building industrial infrastructure for the future.

If you care about operations, sustainability, manufacturing, or scaling new technology. This one connects the dots.

Key Discussion Points

00:01 - Building a large-scale battery recycling operation

The EV revolution is here.

The operational infrastructure behind it is just getting started.

Don't forget to:

#Operations #OperationalExcellence #Manufacturing #EV #ElectricVehicles #BatteryRecycling #Sustainability #Leadership #SupplyChain #IndustrialEngineering #AI #ContinuousImprovement #ProcessImprovement #OperationsManagement #CleanEnergy

What does operational excellence look like when the product you manufacture directly impacts a person’s dignity and quality of life?

In this conversation, Mindaugas Valkavicius shares what it takes to lead 200+ frontline operators in a high-sensitivity environment—where safety, quality, and service aren’t abstract metrics, but daily commitments.

From ramping up capacity during the pandemic to consolidating production across borders, Mindaugas unpacks the realities of scaling responsibly while keeping people at the center.

This isn’t theory. It’s practical leadership from the factory floor.

00:00 – Introduction to Operations Science

If this conversation adds value to you:

👍 Like this video

#Operations #OperationalExcellence #ManufacturingLeadership #ContinuousImprovement #Kaizen #MedicalDevices #Leadership #LeanManufacturing #OperationsManagement #IndustryLeadership

Global supply chains don’t fail all at once. They bend, stretch, and quietly test every assumption you’ve made about planning, inventory, and timing.

In this conversation on the Operation Science Podcast, Vitoria Vellani shares what it actually looks like to manage demand planning and import operations in Brazil—where long lead times, currency swings, port congestion, and seasonal demand collide.

From importing luggage across three continents to balancing forecast accuracy with real-world uncertainty, this episode digs into the decisions supply chain teams rarely get credit for, but everyone feels when they go wrong.

You’ll hear practical insights on:

Planning for volatility instead of pretending it doesn’t exist

Why inventory accuracy is non-negotiable

How communication across sales, operations, and logistics keeps the system moving

Where AI helps — and where human judgment still matters most

No theory. Just how global operations actually work when conditions change faster than your forecast.

Key Discussion Points

00:00 – Setting the context: operations under real-world constraints

If this conversation resonated with you:

#SupplyChain #DemandPlanning #Operations #Logistics #InventoryManagement #Forecasting #GlobalTrade #OperationsScience

When a deeply entrenched operating habit jeopardizes $14–15B in revenue, you don’t get a second chance to get it right.

This conversation with former Intel manufacturing leader Zane Rakes reveals how a shift in perspective—powered by Operation Science—transformed one of the most complex production environments on earth: semiconductor manufacturing.

From “bear traps” of runaway WIP to a trim, predictable factory capable of cutting cycle time by ~80%, Zane breaks down the real story of transforming Intel’s Fab 23—from chaos, firefighting, and hidden variability… to clarity, stability, and breakthrough performance.

If you work in semiconductor, operations, lean, high‑mix manufacturing, maintenance, or executive leadership, this deep‑dive is a masterclass in how systems actually behave—and what it takes to fix them.

00:00 – 01:00 • Setting the stage: how a single operating habit put billions at risk

01:00 – 03:00 • Introducing guest Zane Rakes & his semiconductor background

03:00 – 06:00 • Early Intel years, operations vs. equipment management

06:00 – 08:00 • First exposure to Factory Physics (Operation Science)

08:00 – 10:30 • “Bear traps,” variability, and the hidden cost of firefighting

10:30 – 12:00 • The Fab 23 turnaround begins: outdated MES & massive WIP problems

12:00 – 14:00 • Why schedules looked better on paper than in reality

14:00 – 16:00 • Taking over as Manufacturing Manager

16:00 – 18:30 • How Intel traditionally measured success: wafer starts vs. true output

18:30 – 21:00 • The case for WIP control—and the uphill battle convincing planning

21:00 – 23:30 • Using Little’s Law to expose the gap between goals and physics

23:30 – 26:30 • What direct observation revealed (including “embarrassing” discoveries)

26:30 – 29:00 • Fixing the send‑ahead process: from 3–6 hours to under 1 hour

29:00 – 32:00 • Transitioning from a “fat fab” to a “trim fab”

32:00 – 34:30 • The politics of starts moderation & gaining executive buy‑in

34:30 – 36:30 • Building the Starts Protocol (the engine of the turnaround)

36:30 – 38:30 • The unexpected win: yield improvements from lower WIP

38:30 – 40:00 • Achieving consistent ~21–22 day cycle times (down from ~110 days)

40:00 – 43:30 • Defining ideal state using scientific principles—not benchmarks

43:30 – 47:00 • Why variability—not tools—is the true enemy

47:00 – 49:30 • Using WIP as a proxy for system health

49:30 – 51:00 • Managing severe capacity loss on critical tools

51:00 – 56:00 • Zane's personal journey: upbringing, military career, and joining Intel

56:00 – end • Closing thoughts and timeless lessons for any production system

Key Takeaways:

How to transition from firefighting to physics‑driven operations?

Why semiconductor fabs (and most production systems) run slower than their tools suggest?

How small changes in variability create massive changes in throughput and cycle time?

The organizational realities of shifting from starts‑driven to flow‑driven thinking

The critical connection between inventory, yield, stability, and cost

If this conversation reshaped how you think about operations, help amplify the message:

Show your support:

👍 Give this video a like to help it reach more ops leaders

🔔 Subscribe for more real, unfiltered conversations on what truly drives performance

💬 Drop a comment: What’s the biggest “bear trap” you’ve faced in your own operations?

🔗 Share this episode with someone who needs to rethink how their system really works

#OperationsScience #FactoryPhysics #SemiconductorManufacturing #OperationalExcellence #LeanManufacturing #ContinuousImprovement #ManufacturingLeadership #CycleTimeReduction #SystemsThinking #HighTechManufacturing #Intel #ManufacturingTransformation #WIPControl #VariabilityReduction #ProcessEngineering