The High Cost of Labor Firefighting and Systemic Attrition

Most systems don’t fail all at once. They slow down, back up, and quietly break when demand hits from every direction at once. What passed testing last week suddenly struggles under peak volume, overlapping processes, or hours of sustained use. This white paper challenges the idea that one type of performance test is enough. It shows how load, stress, and endurance testing work together to reveal what your system will actually do when it matters. Because confidence doesn’t come from passing a test. It comes from knowing how your system behaves under pressure. What You’ll Learn: Why performance issues slip through even when testing is in place What load testing really proves, and where it falls short How stress testing exposes breaking points before production does Why endurance testing uncovers slow failures most teams miss How to combine all three approaches into a practical, repeatable strategy What performance testing looks like across real ERP, WMS, and supply chain workflows How to move from one-time testing to continuous performance confidence If your systems only pass tests under ideal conditions, you’re still guessing. Download the white paper to see how a layered performance testing strategy helps you find issues early, fix them…

Last month, we launched Between the Lines, our Supply Chain Now book club, with a simple idea: the best leaders don’t just consume headlines, they read deeply, think critically, and stay curious. The response to our first edition reminded us how powerful shared learning can be! This month, we’re building on that momentum with fresh selections designed to challenge perspectives, spark new ideas, and strengthen the way we think, innovate, and navigate an ever-evolving global landscape.   Check out a few of the selections the Supply Chain Now team recommends from February 2026:   Scott Luton: The 2028 Global Intelligence Crisis from Citrini Research Imagine a short-term future where the very technology we hail as humanity’s next great productivity engine becomes essentially the source of a global economic crisis. “The 2028 Global Intelligence Crisis” from Citrini Research is a thought experiment that projects just such a scenario: by 2028, rapid and widespread AI adoption has supercharged productivity yet hollowed out the consumer economy, driving unemployment above 10% and triggering a deep market downturn as traditional spending collapses despite booming output. In this speculative, but unsettling, framework, AI doesn’t fail, it succeeds so overwhelmingly that the economy it was meant to…