
The AGILITY PARADOX
Why Core ERP is
Failing Your Factory Floor
(And How Simulation Unlocks True OEE)
A Strategic Guide for Manufacturing and FMCG Executives
Enterprise ERP and MRP systems assume a static world of fixed averages. But modern shop floors are dynamic environments defined by complex variables, sudden disruptions, and cascading bottlenecks.
In this executive paper, Naomi Harvey (CSMO, Decision Lab) reveals why rigid planning tools force operational teams back into reactive spreadsheets—and how simulation-based optimisation bridges the gap between static planning and commercial profitability.
Join leaders at Gousto, GSK, and AstraZeneca leveraging predictive simulation.
Get Instant Access to the Executive Paper
WHAT YOU WILL DISCOVERY INSIDE
- The Agility Paradox Explained: Why multi-million-pound ERP investments still leave shift managers relying on gut feel and fragile Excel workbooks.
- Eliminating Upstream Blind Spots: How customer brief design and packing layout decisions introduce hidden operational friction before lineside production even starts.
- De-Risking Multi-Million CAPEX: How to mathematically model new line layouts, automation, and asset additions in a virtual sandbox to prove ROI to the Board before committing capital.
- Moving from Reactive to Predictive: Shift from fixing bottlenecks after Line 3 stalls to looking 48 hours into the future and reallocating resources proactively.
PROVEN IN HIGH-COMPLEXITY SECTORS
‘If simulation-based optimisation can master the zero-fault variables of global pharmaceutical manufacturing, it can seamlessly optimise the production lines of any FMCG or industrial plant.’
- FMCG & Recipe-Box Scale: How Gousto deployed a digital simulation engine to stress-test scheduling logic and unlock high-speed growth under extreme ingredient variance.
- Zero-Fault Pharmaceuticals: How global leaders GSK and AstraZeneca de-risk complex multi-stage batch processes, safeguard compliance, and maximize asset capacity.
ABOUT THE AUTHOR
Chief Sales & Marketing Officer (CSMO), Decision Lab
Naomi operates at the intersection of advanced data science and commercial strategy. With over 15 years leading commercial growth within industrial transit and corrugated packaging, including steering the £34M division at Zeus Packaging and driving growth at Schumacher Packaging (now Mondi), she specialises in helping manufacturing leaders replace operational guesswork with mathematical certainty.
Ready to Stop Fighting Your ERP’s Fixed Plan?
Gain the mathematical foresight needed to protect OEE, de-risk CAPEX, and engineer a more profitable factory floor.