3.4.1, 3.4.2 - Operational objectives and performance

Operational objectives and priorities

Operations transform inputs such as labour, materials, equipment and information into goods or services for customers.

An operational objective is a target for that process. It translates a wider business aim into a basis for decisions and measurement. A low-price retailer may prioritise unit costs; a premium repair service may prioritise accurate work and dependable appointments. A precise target, period and measure allow managers to assess progress and allocate resources. “Improve operations” provides less guidance than “reduce average order-processing time from three days to two by June”.

The specification identifies six important objectives:

Added value is not profit. A bag sold for £30 with bought-in materials and components costing £10 has £20 of added value. Wages, rent and other costs must still be paid from that amount. Improving design or service may increase what customers will pay; reducing material waste may reduce bought-in cost without making the product less useful.

Objectives can support one another. Fewer defects can lower rework costs and speed delivery. They can also conflict: keeping spare equipment may improve flexibility but increase cost; faster delivery may require expensive transport with higher emissions. Targets should reflect customer priorities, competitive conditions, ethical responsibilities and available resources. Maximising one measure alone can damage overall performance.

Labour productivity and average cost

Productivity measures output per input, whereas average cost measures the spending attributable to each unit produced.

Output per worker and average cost

A workshop produces 2,400 tables in a month with 20 workers and total costs of £96,000.

1. Divide output by workers:

1. Divide all costs by output:

1. At 3,000 tables, 25 workers and £108,000 cost, the same methods give:

Output rose but labour productivity stayed constant. Average cost fell even though total cost rose.

Output per labour hour

A parcel depot completes 1,260 deliveries using 12 staff who each work 35 hours; total weekly costs are £7,560.

1. Calculate all hours supplied:

1. Divide output by those hours:

1. Calculate the corresponding average cost:

Comparing 3 deliveries per hour directly with 120 tables per worker would mix both output and denominator definitions.

The denominator matters. Ten workers each working 30 hours supply 300 labour hours, not 30. If they complete 900 orders, productivity is three orders per labour hour. An hourly measure is often fairer when comparing firms with different part-time staffing or working hours. Compare the same period and comparable output; a rush of incomplete or defective orders can exaggerate useful productivity.

If the table workshop's total monthly costs are £96,000 at output of 2,400, average cost is £40 per table. If output becomes 3,000 and total costs rise to £108,000, average cost falls to £36. Total spending increased, while spending per table fell. Use total cost, including fixed and variable costs, rather than divide only the material bill by output.

Higher labour productivity can lower labour cost per unit if pay does not rise proportionately, helping the business reduce prices or increase margins. It does not guarantee lower total unit costs: materials, maintenance or energy costs may rise. Nor does higher productivity mean greater profit if additional output cannot be sold. Interpret the measure alongside quality, demand and cost evidence.