Model every fulfillment stage with responsive inputs and exports. Visualize delays, capacity, and bottlenecks instantly. Make smarter warehouse timing decisions with dependable operational estimates.
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| Metric | Sample Value | Notes |
|---|---|---|
| Order Volume | 120 orders | Batch size for one planning run. |
| Average Order Lines | 4.5 lines | Average picked items per order. |
| Pick Time per Line | 2.20 min | Travel and picking effort per line. |
| Queue Delay | 6.00 min | Waiting time between stages. |
| Parallel Stations | 4 | Four active fulfillment lanes. |
| Utilization | 85% | Real usable capacity after losses. |
| Estimated Time per Order | 14.03 min | Average effective elapsed time. |
| Estimated Batch Completion | 28.07 hr | Total time for 120 orders. |
| Throughput Capacity | 4.28 orders/hr | Expected completed orders each hour. |
1. Picking Minutes
Picking = Average Order Lines × Pick Time per Line
2. Base Service Minutes
Base Service = Picking + Verification + Packing + Labeling + Queue Delay + System Delay + Transit Buffer
3. Expected Exception Minutes
Expected Exception = (Exception Rate ÷ 100) × Exception Handling Time
4. Adjusted Service Minutes
Adjusted Service = (Base Service + Expected Exception) × (1 + Variability Buffer ÷ 100)
5. Effective Fulfillment Time per Order
Effective Time per Order = Adjusted Service ÷ (Parallel Stations × Utilization)
6. Batch Completion Time
Batch Completion = Effective Time per Order × Order Volume
7. Throughput Capacity
Throughput = 60 ÷ Effective Time per Order
8. Required Stations for SLA
Required Stations = Ceiling(Adjusted Service ÷ (SLA Target Minutes × Utilization))
It estimates average fulfillment time per order and total batch completion time. It also highlights throughput, bottlenecks, SLA performance, and staffing implications.
Order volume affects total batch completion time. Even if per-order time stays steady, larger batches extend total operating hours and may expose staffing limits.
Exceptions add hidden time. Damaged items, address corrections, stock mismatches, and manual approvals often reduce effective throughput more than expected.
Utilization represents the share of theoretical capacity that becomes productive work. Breaks, congestion, meetings, and small stoppages reduce the usable percentage.
Use historical instability as your guide. Stable operations may use 5% to 10%, while busy or inconsistent sites may need 15% to 30%.
It is the stage with the largest time share in the current model. That stage deserves improvement attention first because it drives the slowest flow.
Yes. It is useful for labor planning, shift sizing, dock release scheduling, process redesign, and comparing improvement ideas before implementation.
No. It provides a structured engineering estimate, not a full discrete-event simulation. It works best for quick capacity checks and scenario comparison.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.