You don’t need more stock. You need to know where the stock is stuck.
In glass and ceramics distribution, inventory costs can balloon fast—especially when ops teams respond to every stockout by over-ordering. But more inventory isn’t always better. Often, it’s not even helpful.
What’s more effective? Bottleneck analysis. A simple but powerful method to align your inventory plan with the actual constraints in your system.
What Bottleneck Analysis Is (and Isn’t)
Bottleneck analysis asks:
“What’s slowing the flow of goods through our system—and what are the knock-on effects?”
This could include:
A laminating line that’s maxed out, causing delays in finished product availability
A receiving process that creates inbound backlog
Insufficient rack space for large-format panels, forcing staging in transit zones
Bottleneck analysis isn’t about blaming teams or pushing more throughput. It’s about aligning inventory investment with system capability.
The Link Between Bottlenecks and Inventory Risk
When a bottleneck chokes the system, you end up with:
Overstock upstream (excess float glass waiting for processing)
Stockouts downstream (finished laminated units unavailable)
Slower inventory turns
Wasted space, labor, and freight cost
Identifying the constraint helps you stock less—but smarter.
How to Apply Bottleneck Analysis to Inventory Planning
Step 1: Map your value stream
Follow key product SKUs from order to delivery. Identify points of delay, backlog, or queue buildup.
Step 2: Measure queue time vs. process time
If IGUs sit five days waiting for edge finishing, that’s a bottleneck. Use that insight to rebalance WIP or shift resources.
Step 3: Calibrate reorder points to bottleneck output
Don’t reorder based on forecast alone—factor in how quickly the system can produce or process. Otherwise, you just feed the jam.
Real-World Application
A distributor holding excess ceramic insulation boards couldn’t figure out why stock turned so slowly. A bottleneck review showed delayed jobsite coordination was halting shipments—not supply gaps.
By aligning inventory levels to actual downstream demand readiness, they reduced stock by 22% and improved service levels.
Better Inventory Through Bottleneck Awareness
Improve service without bloating stock
Focus investment on constraints (not assumptions)
Use throughput data to justify buffer inventory only where it’s truly needed
Inventory doesn’t solve a process problem. But understanding your bottleneck? That’s how smart inventory plans are built.
