# How many orders can your team really handle?

Estimate order capacity from available people, materials and equipment. Find the limiting stage before accepting work that depends on missing resources.

By Daltn editorial team. Published 2026-11-01.
Canonical: https://daltn.tech/feeds/capacity-planning-trade-business/

## How many orders can your team realistically handle?

Your team’s order capacity depends on the practical limits of people, equipment, materials and required checks. Identify the limiting stage and calculate its available time after normal interruptions, maintenance, rework and other duties. Compare that capacity with the actual order mix before accepting commitments that depend on overtime or missing resources.

## Keep these in mind

- Plan around the busiest required stage and the actual order mix.
- Keep a buffer for variability instead of assuming every minute is available.
- Hiring is one option; clearer inputs and better release rules may help first.

## Separate demand from available capacity

Demand is what customers want within a period. Capacity is what your team can complete under a defined set of conditions. A high sales target does not create extra packing hours.

A quiet week does not establish the effort required for future orders.

The [Lean Enterprise Institute defines takt time](https://www.lean.org/lexicon-terms/takt-time/) as available production time divided by customer demand. It is a way to understand the required pace. For mixed retail and service work, also measure the work content of the different order types.

List the stages that every order needs: intake, stock check, picking, packing, billing and delivery handoff. Record capacity separately when a scarce skill, vehicle or approval limits one stage.

## Build a simple weekly example

Consider an illustrative team with 30 hours available for packing after other duties. A standard order takes 15 minutes to pack. The arithmetic maximum is 120 standard orders.

If the business chooses to reserve six of those hours for exceptions, the planned standard workload is 96 orders. That buffer is a management choice, not an industry benchmark.

Now add custom orders that take 45 minutes. Ten custom orders consume 7.5 hours. You cannot count those as ten ordinary orders and still trust the plan.

Use minutes or a consistent equivalent unit.

Order type | Volume | Minutes each | Total hours
--- | --- | --- | ---
Standard | 70 | 15 | 17.5
Custom | 10 | 45 | 7.5
Planned work | 80 | Mixed | 25
Available after other duties | — | — | 30

## Find the limit before spreading the workload

The [Goldratt Research Labs explanation of constraints](https://www.goldrattresearchlabs.com/introduction-to-toc) directs attention to what restricts the system’s output. If dispatch can carry only 60 orders, packing 80 does not create 80 completed deliveries. Include route capacity and promised delivery days.

Check whether the constraint is time or information. Missing item codes, incomplete addresses and repeated discount approvals consume capacity in unpredictable ways. A complete order intake checklist may release time without changing headcount.

Do not assume the same improvement repeats indefinitely. Once incomplete addresses are rare, the next limit may be physical packing space or courier collection times.

## Use a weekly commitment check

Keep the plan short enough to update before promising another large order. Make the assumptions visible to sales so an estimate does not turn into an unconditional commitment.

1. Count available hours by stage after known duties and absence.
1. Group orders by similar work content and measure a small sample.
1. Calculate required hours for accepted orders and credible near-term demand.
1. Identify the stage with the least remaining capacity.
1. Agree whether to change the promise, sequence, job mix or resources.
1. Compare estimated and actual time at the end of the week.

## Watch the cost of apparently free capacity

Overtime, rushed checks and delayed administration can make a week look successful while moving cost into the next one. Track rework and outstanding paperwork beside deliveries. If the same people clear the backlog every weekend, that work belongs in the capacity picture.

For hiring, estimate the full added capacity after supervision, training and equipment needs. Temporary assistance may suit a seasonal peak, while cross-training may reduce dependence on one person. Neither decision can be made from order count alone.

Keep the customer deadline separate from the hours reserved to complete the work. Before accepting another order, check the limiting resource as well as the calendar: stock, equipment, transport or a particular skill. Review those assumptions when conditions change.

An empty afternoon on one person's schedule does not create capacity in a fully booked production stage.

## Common questions

### Which capacity should we use when accepting orders?

Use practical capacity at the limiting stage after normal breaks, maintenance, rework and other duties. Confirm stock, equipment and relevant skills; a free calendar slot is only part of readiness.

### What if orders vary greatly in size?

Group work by meaningful effort or resource requirements. Estimate each group separately and examine the order mix. A single average can hide a custom job consuming most specialist time.

## Sources

- [Takt Time, Lean Enterprise Institute](https://www.lean.org/lexicon-terms/takt-time/): Defines required pace from available time and demand.
- [Introduction to Theory of Constraints, Goldratt Research Labs](https://www.goldrattresearchlabs.com/introduction-to-toc): Supports examining the stage limiting overall output.
