SAP EWM Pick Labor Capacity Calculator
Labor is the largest cost in a warehouse, and SAP EWM will not tell you how many people to hire. This calculator converts daily pick lines and your measured seconds per line into a roster number you can defend in a planning meeting.
Your numbers
Outbound delivery items that become warehouse tasks, after any consolidation.
Average non-handling time per pick, from a time study or RF confirmation timestamps.
Share of the paid shift spent on pick work after breaks, meetings and waiting.
Your results
Planning estimate. Replace the time inputs with values from your own time study or EWM RF confirmation data.
Pickers needed vs daily order lines
Sweeps Order lines picked per day from 1000 to 20000, holding your other inputs fixed.
Pull pick productivity from your SAP system
An optional expert review of how to derive seconds per task and lines per hour from your warehouse task data.
Optional. The tool and every export work without this. No spam.
How to use the calculator
Start with the number of order lines you expect to pick on a normal day, not the number of deliveries. Then enter the average time per line split into two parts: the fixed travel, search and confirmation time, and the handling time per unit. The shift length and utilization convert paid hours into productive hours. Finally add a buffer for peak days and absence. The primary result is the whole number of pickers to roster. Use the chart to see how headcount grows as volume rises, which helps when you present a seasonal plan.
The formula behind the result
Seconds per line equal fixed time plus units per line multiplied by seconds per unit. Pick work hours equal lines per day multiplied by seconds per line, divided by 3600. Pickers needed equal work hours divided by paid shift hours multiplied by utilization. The buffer multiplies that figure and the result is rounded up with a ceiling. This is the same structure used in engineered labor standards, simplified to two time elements. It ignores replenishment, packing and put-away, which should be sized separately.
- Work hours = lines x seconds per line / 3600
- Productive hours per picker = shift hours x utilization
- Roster = ceiling of pickers x (1 + buffer)
Where the inputs come from in SAP
In EWM, warehouse task confirmations carry timestamps and the resource management functions can record the processor, so you can derive real seconds per task from confirmed tasks per user per hour. In classic WM, transfer order confirmations in tables such as LTAP give start and confirmation data when confirmation is required. Use a representative week, exclude outliers such as blocked bins and system downtime, and compare by pick type, because a full pallet pick is much faster than a piece pick from a shelf.
Common mistakes
The usual error is using the vendor's theoretical lines per hour instead of measured data, which understates labor by 20 to 40 percent. Another is counting deliveries rather than lines, or forgetting that waves release work in bursts so the peak hour needs more people than the daily average suggests. Keep utilization realistic: 75 to 85 percent is common for RF-directed picking, and 90 percent or more is rarely sustainable across a full shift.
- Do not mix pallet picks and piece picks in one average
- Size peak hour separately if waves are tight
- Re-run after changing slotting or pick path
Frequently Asked Questions
Is this specific to SAP EWM?
The math applies to any warehouse. It is framed for SAP EWM and WM because the inputs, such as lines per day and confirmation times, come from warehouse tasks and transfer orders in those systems.
What utilization should I use?
For RF-directed picking, 75 to 85 percent is a realistic planning range. Use the lower end if you have long travel, frequent replenishment waits or batch release bottlenecks, and the higher end for tightly managed, well slotted operations.
Does it include replenishment and packing labor?
No. It sizes pick labor only. Add separate calculations for replenishment, put-away, packing, loading and indirect roles, then sum the headcount for a full warehouse labor plan.
How do I handle seasonal peaks?
Run the calculator at peak daily lines to see the temporary headcount, and at the average to see the permanent core. The chart shows how steeply headcount rises, so you can choose between temps, overtime and a second shift.
If you want pick productivity and task confirmation times pulled straight from your SAP system into a view like this, we can build it on-premise over your data. Talk to us after you have tried the numbers here.
Related Tools
SAP EWM Wave Release Sizing Calculator
Decide how many waves per day to release, how big each should be and how many pickers you need to complete a wave inside its window.
SAPSAP EWM Dock Door Requirement Calculator
Find the number of dock doors you need from truck volume, unload time and a peak factor, and test how volume growth changes the answer.
SAPSAP WM Cycle Count Frequency Calculator
Convert ABC class sizes and count frequencies into daily counts, recount allowance and the number of counters you need.
SAPSAP EWM Replenishment Min Max Calculator
Set the minimum, maximum and replenishment frequency for a fixed pick bin so the picker never finds an empty face.
More SAP tools
See all- SAP EWM Pallet Position Requirement Calculator
- SAP EWM Inventory Accuracy Calculator
- SAP EWM Cross-Docking Savings Calculator
- SAP Movement Types Reference
- SAP Purchasing Document Types Reference
- SAP MIGO Goods Receipt Checklist
- SAP GR/IR Clearing Worksheet
- SAP Release Strategy Design Template
- SAP Source List Upload Template