A master production schedule can look completely reasonable on paper and still be impossible to run. Rough-cut capacity planning exists to catch that gap before it becomes a missed delivery — it takes the master schedule, translates it into hours of demand on your key resources, and checks that demand against what those resources can actually supply. Done well, RCCP is a fast screening test that flags a bad schedule in minutes rather than letting it survive all the way to the shop floor before anyone notices the overload. Manufacturers setting up or tightening an RCCP process can bring their master schedule to iFactory AI for a resource-capacity check before committing it to production.
Verify the Master Schedule Is Feasible — Before It Reaches the Floor
iFactory AI runs rough-cut capacity planning against your key resources automatically, flagging overloads in the master schedule while there is still time to fix them.
Where RCCP Sits in the Planning Sequence
RCCP isn't a standalone exercise — it exists at a specific point between strategic planning and detailed scheduling, checking one plan before the next level of detail gets built on top of it. Skipping the step doesn't remove the question; it just delays the overload until it's far more expensive to fix.
Business and demand plans set the high-level production targets the rest of the sequence works from.
Product types, quantities, and timing get set at the item level to meet the demand plan.
Key resources are checked against the schedule's demand — the feasibility gate this page is about.
Only once RCCP confirms feasibility does the plan get exploded into detailed material and capacity requirements.
A schedule that fails RCCP should be adjusted or sent back to the master schedule for revision — not carried forward into detailed planning, where the same overload is far more costly to unwind.
Three Ways to Run the Rough-Cut Check
RCCP isn't one fixed calculation — three established methods trade off speed against precision, and most plants pick the one that matches how detailed their standing data already is.
Capacity Planning Using Overall Factors
Applies historical ratios to the master schedule to estimate workstation-level demand for each period. Fast to run, but it depends on established production standards and works best when the product mix is fairly stable.
Bill of Labor / Capacity Bills
Builds a direct link between the hours a product actually consumes at each workstation and the quantities in the master schedule. Particularly useful for multi-product operations, where a single overall factor would blur real differences between items.
Resource Profile Approach
Goes beyond workstation hours to include lead time for each activity, offsetting demand across the periods it actually falls in rather than loading it all at once. The most accurate of the three, at the cost of more detailed setup.
Find Out Which RCCP Method Fits Your Data
Book a 30-minute session and iFactory AI will walk through your existing routings, standards, and master schedule to recommend the right rough-cut method to start with.
Reading the Load Ratio
Every RCCP method ultimately produces the same kind of output for each key resource in each period: required hours divided by available hours, expressed as a load ratio. The number tells the story on its own — no interpretation needed.
What Goes Into Required Hours
The required-hours side of the load ratio is not just run time. Leaving out setup, or using a theoretical rate the resource has never actually hit, produces a rough-cut check that looks clean and is quietly wrong.
| Component | What It Captures | Common Mistake When Omitted |
|---|---|---|
| Setup Time | Time consumed per changeover before run time begins | Overload hidden on multi-product lines with frequent changeovers |
| Run Time per Unit | Standard hours to produce one unit at the resource | Understated load if the standard is stale or outdated |
| Order Quantity | Quantity from the master schedule driving demand for the period | Mismatch between MPS periods and the resource's calendar |
| Demonstrated Capacity | What the resource has actually produced in recent periods | Rated capacity used instead, overstating what's really available |
Experienced planners favor demonstrated capacity — actual average output over recent periods — over the resource's theoretical rated capacity, because the rated number rarely survives contact with real setups, minor stops, and staffing variability.
RCCP Is the Screening Test, Not the Diagnosis
RCCP and its more detailed counterpart, capacity requirements planning, answer different questions at different points in the planning cycle. Treating RCCP as the whole answer — or skipping straight to CRP without it — both create predictable gaps.
The two are meant to complement each other, not replace one another: RCCP shows whether the program is broadly feasible at a resource level, and CRP shows precisely where and when overload will land once real order dates and quantities are known.
A Composite Scenario: The Master Schedule That Looked Fine Until It Didn't
A contract manufacturer building three product families through a shared finishing line had approved a new quarter's master schedule based on last year's throughput assumptions, with no formal rough-cut check performed before it was released to production planning.
Three weeks into the quarter, the finishing line was consistently missing its daily targets, and expedited freight costs were climbing as orders slipped. A rough-cut check run retroactively against the approved schedule showed the finishing line's load ratio at 128% in two of the twelve weeks — the schedule had assumed the changeover time between two of the product families at roughly half what the line was actually experiencing on the floor. Rebuilding the RCCP with demonstrated changeover time instead of the outdated standard surfaced the same two overloaded weeks before the next quarter's schedule was approved, and shifting a portion of one family's volume into an adjacent underloaded week absorbed the gap without adding a shift.
Options When a Resource Comes Back Overloaded
RCCP tells you a resource is overloaded; it does not fix the schedule for you. Planners have a handful of standard levers, and the right one depends on how persistent the overload is and how much flexibility the master schedule allows.
Pull Work Forward
Move orders from an overloaded period into an earlier underloaded one, where material availability allows it — often the least disruptive fix.
Push Non-Critical Orders Back
Delay lower-priority orders into a later underloaded period, accepting the tradeoff against their own delivery commitments.
Add Capacity
Authorize overtime or an additional shift at the specific overloaded resource for the periods the load ratio flags.
Outsource the Operation
Route the operation to a subcontractor for the overloaded periods when internal capacity genuinely cannot absorb the demand.
Revise the Master Schedule
When the overload is persistent rather than a one-period spike, escalate back to the master schedule itself rather than patching around it repeatedly.
Where iFactory AI Fits
Running RCCP by hand against a spreadsheet is workable for a single product line and painful for anything more complex. iFactory AI automates the resource-hours translation and keeps the load ratio current as the master schedule changes.
Automatic Load Ratio Calculation
Every master schedule change recalculates required hours against available hours for each key resource, so a load ratio above 100% surfaces immediately rather than at the next manual review.
Demonstrated Capacity, Not Rated
Available capacity is calibrated from real recent output rather than theoretical machine ratings, so the rough-cut check reflects what a resource actually delivers.
Changeover Time Built In
Setup and changeover time is tracked against actual line history rather than a standard that can go stale, closing the gap that silently overloads multi-product lines.
Feeds Straight Into Detailed Planning
Once a master schedule clears the rough-cut check, the same resource and demand data carries forward into detailed scheduling, so the two planning levels stay consistent with each other.
iFactory AI arrives pre-configured on an NVIDIA server that ships racked and ready with software pre-loaded — rack it, connect power and Ethernet, and rough-cut capacity checks run automatically against every master schedule revision. Scope covers cabling, network, ERP and MES integration, planner training and 24×7 remote monitoring.
Frequently Asked Questions
Which RCCP method should we start with?
It depends on how detailed your existing production standards already are. Capacity planning using overall factors is the fastest to stand up if you have reliable historical ratios and a relatively stable product mix, while the bill-of-labor approach works better for multi-product operations where a single overall factor would blur real differences between items. The resource profile approach is the most accurate of the three because it accounts for lead time in addition to workstation hours, but it takes more setup to get there. iFactory AI's team can review your current routings and standards and recommend which method fits where you're starting from.
Does RCCP replace the need for detailed capacity requirements planning?
No — the two are meant to work together rather than substitute for each other. RCCP is a fast screening check run against the master schedule, at the level of key or critical resources, over a weekly-to-monthly horizon. CRP is the detailed diagnostic that runs against actual MRP-generated orders, at every resource in the routing, over a daily-to-weekly horizon. A schedule that clears RCCP can still show specific overloaded days once CRP examines it at that finer grain, which is exactly why both steps stay in the sequence.
What does a load ratio above 100% actually mean for the schedule?
It means the master schedule is asking a resource for more hours in that period than the resource has available, using whichever capacity figure — rated or demonstrated — the calculation was built on. It does not mean the schedule is unfixable; it means the schedule needs one of the standard adjustment levers applied before it's released: pulling work into an underloaded period, pushing non-critical orders later, adding a shift, outsourcing the operation, or revising the master schedule itself if the overload keeps recurring.
How often should a rough-cut capacity check be run?
At minimum, every time the master production schedule changes, since a schedule revision is exactly the event that can turn a feasible plan into an infeasible one. Many manufacturers running RCCP manually only check it at the start of a planning period and then let the schedule drift through revisions unchecked, which is where overloads quietly creep back in. Book a demo to see how an automated rough-cut check that recalculates on every schedule change compares to a periodic manual review.
Should we use rated capacity or demonstrated capacity in the calculation?
Experienced planners generally favor demonstrated capacity — the average actual output a resource has produced over recent periods — over its theoretical rated capacity. Rated capacity assumes ideal conditions that rarely hold on a real floor once setups, minor stops, and staffing variability are accounted for, so a rough-cut check built on rated numbers tends to understate real load and let overloads through. Demonstrated capacity is more conservative and, in practice, more often correct.
Catch an Infeasible Schedule Before It Reaches the Floor
iFactory AI runs rough-cut capacity planning automatically against every master schedule revision, flagging resource overloads while there's still time to fix them. Book a walkthrough to see it against your own schedule and routings.
