Allocate scarce specialist hours by the contribution they can support

A team can have plenty of general delivery capacity and still be limited by one specialist review, machine or approval step. When demand exceeds that capacity, compare the contribution earned per unit of the scarce resource. Ranking jobs by revenue or contribution per job alone may use the bottleneck poorly.

ACCA's limiting-factor worked example identifies the constrained resource and ranks contribution per unit of that resource. Applying the method to services requires the same discipline: support the specialist hours each completed job needs and verify that another constraint will not prevent delivery.

First reserve capacity for obligations the company must honor. Existing customer commitments, quality requirements and approved strategic work can limit the choices. Have the responsible commercial or legal owner resolve those constraints before finance treats every job as freely interchangeable.

Assume a hypothetical month has 40 available specialist hours. Job A contributes $300 after its relevant variable costs and needs three specialist hours, or $100 per constrained hour. Job B contributes $180 and needs one hour. Demand is limited to ten A jobs and twenty-five B jobs, and all other resources are available.

Completing twenty-five B jobs uses 25 hours and earns $4,500 contribution. The remaining 15 hours support five A jobs and another $1,500, for $6,000 total. Starting with all ten A jobs uses 30 hours and leaves room for ten B jobs, producing only $4,800. The larger contribution per A job does not compensate for its greater use of scarce time.

Establish which costs actually change with the chosen mix over the review period. A specialist's salary may remain payable regardless of the jobs selected, while subcontracting or overtime could add cash cost. Do not subtract a fixed cost per hour from some alternatives and treat the same cost as unavoidable in others.

Include setup, rework and review time where they consume the bottleneck. An average based only on clean jobs may overstate available output. Use comparable measurements and explain the allowance for uncertain work. If job size varies substantially, group work meaningfully rather than assigning every request the same hours.

The simple ranking assumes one effective constraint and separable jobs. Multiple scarce skills, batch sizes, dependencies or minimum service commitments may require a more complete optimization or scheduling analysis. Check whether the proposed mix is operationally possible before presenting its calculated contribution as achievable.

After allocating existing hours, identify the next work that could use additional capacity. Its incremental contribution helps assess the cost of overtime, temporary support or a process change. The value of another hour depends on the remaining demand and may fall after a particular queue is cleared.

Ask operations whether extra specialist time actually increases completed delivery. Moving the bottleneck to another team may provide less benefit than the initial calculation suggests. Include supervision, training and quality costs of the proposed capacity response where they change the result.

Keep a record of the selected mix, deferred work and customer consequences. Review actual scarce hours and realized contribution after delivery. Finance can then improve the allocation assumptions and management can judge the commercial effects, rather than assuming the highest spreadsheet total is the only consideration.