Better Performance Across Sites and Cultures through Continuous Improvement

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.

Key Discussion Points

00:00 Intro
01:34 Meet Andre Scarance
02:30 Scaling strategy across global manufacturing sites
05:22 Making continuous improvement everyone’s job
07:13 What stable operations look like (and warning signs of struggle)
08:18 Why projects fail before they start
09:13 Shared mental models and operational behavior
10:32 Managing improvement projects across sites
12:21 Gaining trust from frontline operations
15:44 Why tools alone don’t create transformation
17:13 Kaizen, practical learning, and capability building
19:00 The productivity challenge every plant is facing
20:01 AI in continuous improvement and operations
23:04 Productivity vs. quality — false tradeoff?
24:50 Measuring productivity in manufacturing
25:21 Selecting projects that actually matter
28:00 Why improvements fail to sustain
31:29 Andre’s career journey from IT to operations
35:13 Mentors, leadership lessons, and career advice
37:24 Advice for the next generation of operations leaders

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

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