Every plant has a slowest step, and that step sets the pace for everything else. Speed up any other machine and the plant makes no more product, only more waiting stock. The constraint may be a filler, a mixer, a cooling tunnel or a shift of skilled operators, and it often moves. Constraint-aware scheduling protects that step and lets everything else follow its rhythm. Operations teams can locate their real bottleneck in a worked scheduling example before investing in the wrong machine.
Find the Step That Sets Your Output and Schedule Around It
iFactory Dynamic Scheduler identifies bottlenecks, applies drum-buffer-rope patterns and builds constraint-aware schedules that protect throughput.
Drum, Buffer, Rope in One Picture
The constraint sets the drum beat. A buffer protects it from upstream shocks, and a rope ties material release to its pace.
Simplified flow. Real plants may have several buffers and more than one candidate constraint.
Spotting the Bottleneck From the Data
The constraint is usually where work waits. Compare stations on a few simple signals.
Illustrative signal strength for a likely constraint. Your measured data decides.
Constraint-Blind vs Constraint-Aware Scheduling
Schedules built on average capacity hide the step that actually limits output.
Find Out What Is Really Capping Your Output
Bring your line list and one month of utilization data. We will show where work waits and where a protected schedule would help most.
Five Steps to Manage the Constraint
The method is a loop. Once one constraint is relieved, another takes its place.
Choosing Buffer Types
Buffers protect the constraint. The right type depends on what could interrupt it.
| Buffer | Protects Against | How It Is Sized |
|---|---|---|
| Time buffer | Late arrival from upstream | Based on typical upstream variation |
| Stock buffer | Material or intermediate shortage | Based on lead time and demand |
| Capacity buffer | Breakdown or minor stops | Based on reliability history |
| Shipping buffer | Late delivery to customers | Based on transport variability |
Where FMCG Constraints Like to Hide
Constraints do not always sit on the packaging line. Check these places before assuming.
Shared equipment
One mixer or cooker feeding several lines
Changeover-heavy lines
Cleaning and setup that consume the shift
Skilled labor
A small team trained for a critical task
Quality release
Lab or hold times that delay shipping
What Experienced Planners Look For in Constraint Management
Frequently Asked Questions
Do we need a perfect model of the plant to start?
No. A constraint-aware schedule begins with the single step that limits output. Add detail where it changes decisions. Start with one line and one constraint using our planners and expand from there.
What if our constraint changes with the product mix?
It will for many plants. The scheduler can test each week's mix and show which step limits output, so protection moves with it.
Does this replace lean or OEE work?
No, they complement each other. OEE improvements matter most at the constraint, and constraint thinking shows where to aim them. See how both views fit on one schedule in a short review.
How large should the buffers be?
Large enough to protect the constraint from typical upstream variation, and no larger. Oversized buffers hide problems and tie up stock. Review sizes against actual interruptions.
How soon can throughput improve?
Gains often start when the constraint stops waiting for work, which can be quick to fix. Estimate what unlocking your constraint could mean for output with our team.
Let Your Constraint Set the Pace on Purpose
Bring your lines, shift pattern and a recent week of output. We will show where the constraint sits and how a protected schedule would run.
