Making operational decisions to improve performance: increasing efficiency and productivity — AQA A-Level Business

Operational decisions to improve efficiency and productivity involve reducing unit costs by minimising waste in labour, materials, and time, while increasing output per input. For AQA A-Level Business, students must evaluate methods such as lean production, JIT, and capacity utilisation, and assess their impact on competitiveness and stakeholder objectives.

This topic explores how businesses can improve their operational performance by increasing efficiency and productivity. It covers key methods such as lean production, just-in-time (JIT) stock control, capacity utilisation, and investment in technology. Students learn to calculate and interpret measures like labour productivity and unit costs, and to evaluate the trade-offs involved in operational decisions.

Understanding operational decisions is crucial because they directly affect a business's competitiveness, profitability, and ability to meet customer needs. It links to other areas of the A-Level Business specification, including finance, human resources, and marketing, as operational choices must align with overall business strategy. Exam questions often require students to apply these concepts to real-world contexts and assess their impact on stakeholders.

• →Efficiency vs productivity: Efficiency is about minimising costs and waste; productivity is a measure of output per input. Both are key to improving competitiveness.
• →Lean production: Techniques like JIT, Kaizen, and cell production aim to eliminate waste (muda) and improve quality and speed.
• →Capacity utilisation: The proportion of a business's maximum output that is actually achieved. High utilisation can reduce unit costs but may lead to inflexibility.
• →Investment in technology: Automation and computer-aided design/manufacturing can boost productivity but require significant capital and may face resistance from employees.
• →Unit costs: The average cost per unit, calculated as total costs divided by output. Reducing unit costs is a primary goal of operational improvements.

• Calculating capacity utilisation from the figures in the stem and then saying what the percentage means for cost per unit at this business, rather than leaving the number bare.
• Explaining the fixed cost mechanism, that fixed costs do not change with output so fewer units each carry a larger share, which squeezes the margin at the current selling price.
• Naming a specific way of closing the gap, such as rationalising by closing a site, subcontracting the overflow, or raising demand through promotion, and stating the consequence for this firm.
• Judging the decision against the pattern of demand, because only permanent overcapacity justifies cutting capacity, while seasonal troughs argue for flexible hours or temporary staff.
• Calculating output per worker and converting it into labour cost per unit, since that is the figure that tells the firm whether its wage bill is competitive.
• Explaining a named route with its mechanism, for example training that cuts machine changeover time, instead of asserting that training motivates staff.
• Recognising the timing problem, that the cost of new equipment or a training programme falls in this year's profit while the gain arrives over several years.
• Weighing difficulties specific to this workforce, such as resistance where redundancies followed the last efficiency drive, or a skills shortage that leaves new machinery idle.
• Explaining the cash effect precisely, that stock is working capital tied up plus storage, insurance and obsolescence costs, so cutting it improves liquidity without a single extra sale.
• Naming what the system demands of the firm, such as reliable suppliers, frequent small deliveries, accurate demand forecasts and a workforce able to switch between tasks.
• Setting the stockless approach against holding a buffer using this firm's own risk, so an aircraft maintenance business or a hospital is argued differently from a sandwich maker.
• Supporting the argument with a named lean technique such as kaizen, cell production or time based management, and saying what it changes on the shop floor.
• Explaining the cost structure consequence, that machinery raises fixed costs and so raises break even output, which is fixed costs divided by contribution per unit.
• Judging the choice against the volume and predictability of demand rather than in the abstract, because equipment only pays back if it runs.
• Bringing in how the investment is financed, since borrowing to buy equipment raises gearing, which is long term liabilities as a percentage of capital employed, and raises interest cost in a downturn.
• Recognising where labour is the product, so in a restaurant or a salon cutting staff to cut cost destroys the thing customers came to buy.
• Naming a specific system and the specific operational problem it fixes at this firm, such as electronic point of sale data cutting stockouts, rather than technology improving efficiency in general.
• Quantifying the case where the data allows it, using payback period or average rate of return, which is average annual profit as a percentage of the initial investment.
• Explaining the effect on the cost structure and break-even point. Investment in technology typically shifts costs from variable (e.g., wages) to fixed (e.g., depreciation). This raises fixed costs but can also lower variable costs per unit, increasing contribution. The overall effect on the break-even point (Fixed Costs ÷ Contribution per unit) depends on the relative size of these changes.
• Dealing honestly with the workforce consequence, including retraining, redeployment, redundancy and the resistance that Kotter and Schlesinger would predict from staff who fear for their jobs.

• 💡Data response often gives output and a maximum in different units or over different time periods, so convert both to the same period before you divide.
• 💡Capacity is usually examined inside a decision, such as whether to accept a large one off order, so use the spare capacity figure to show whether it can be met without overtime or new equipment.
• 💡For evaluation, argue that the right level depends on the industry, since a hospital or a fire service deliberately holds spare capacity while a budget airline does not.
• 💡The stem usually gives output and employee numbers for two years or two sites, so compare them and comment on the direction of travel rather than quoting one figure.
• 💡Assess questions about an efficiency drive reward judgement about people, so use Kotter and Schlesinger on handling resistance or Herzberg on job enrichment, and say what the model is blind to, such as the cost and time each approach takes.
• 💡Watch for a firm whose selling point is quality; an argument that pushing speed would damage the brand scores better than a generic list of methods.
• 💡Evaluate questions nearly always ask whether this approach suits this particular firm, so sort the evidence into supply reliability, demand stability and the cost of a stockout.
• 💡A single overseas supplier, a long lead time or a perishable product in the stem is the planted cue for the risk side of the argument.
• 💡Use balance sheet or cash flow data where it is given, since stock falling while sales hold is the evidence that the change is working.
• 💡The data usually lets you compare cost per unit at two output levels, so do that calculation, because the whole argument turns on volume.
• 💡Assess and recommend questions here reward a conditional answer, for example that automation is right only if the new contract named in the stem is renewed.
• 💡Link to break even or to gearing when the numbers are supplied, since operations questions on this paper often carry finance data deliberately.
• 💡These questions often supply an investment cost and an annual saving, which is an invitation to calculate payback and to say whether it beats the criterion the firm has stated.
• 💡Evaluation marks come from the conditions you attach, such as whether demand is stable enough for the equipment to run at the utilisation the payback figure assumed.
• 💡Where the stem mentions a competitor already using the system, frame the argument as competitiveness rather than pure cost saving.
• 💡Always use the data provided in the case study to support your arguments. For example, calculate productivity ratios or unit cost changes to show the impact of an operational decision.
• 💡When evaluating, consider both short-term and long-term effects, and the impact on different stakeholders (e.g. employees, customers, shareholders).
• 💡Use appropriate business terminology accurately, such as 'capacity utilisation', 'lean production', 'buffer stock', and 'economies of scale'.

• Treating full capacity as automatically good, when working flat out leaves no slack for maintenance, damages quality and forces the firm to turn away rush orders it could have charged a premium for.
• Confusing capacity utilisation with labour productivity; utilisation measures how much of the available capacity is in use, productivity measures output per worker, and a firm can be highly utilised and unproductive at once.
• Recommending redundancies as though only the wage saving mattered, ignoring redundancy payments, lost skills and the cost of recruiting again when demand recovers.
• Using efficiency and productivity as if they were the same thing; productivity is output per unit of input, efficiency is producing at the lowest cost per unit, and a productive firm buying expensive inputs is still inefficient.
• Dividing output by hours worked and calling the result output per worker, or mixing a weekly output figure with an annual headcount.
• Claiming higher pay always lifts productivity, when Herzberg treats pay as a hygiene factor that removes dissatisfaction rather than a motivator, and Taylor's piece rates only work where output is easy to measure.
• Describing the system as simply having no stock, when what really replaces the stock is the reliability and frequency of deliveries.
• Listing benefits with no figure from the stem, when the case study usually supplies stock levels or storage costs that turn the point into application.
• Forgetting that small frequent deliveries cost more per unit in transport and lose bulk buying discounts, so the saving is net rather than total.
• Assuming a machine intensive process is always cheaper, when equipment standing idle at low output gives a higher cost per unit than the workers it replaced.
• Ignoring the human consequences and their knock on costs, such as redundancy payments, falling morale among the staff who remain, and rising labour turnover.
• Writing about automation with no sense of scale, recommending a costly line for a firm whose annual output would not cover the depreciation on it.
• Listing technologies as a shopping list with no link to the process that is failing in the case study.
• Treating the investment as costless once installed, ignoring maintenance, software licences, downtime during changeover and obsolescence within a few years.
• Assuming every customer wants an automated service, when a firm competing on personal attention can destroy its own differentiation by removing people.
• Students often think that increasing productivity always leads to lower unit costs. In reality, if the cost of achieving higher productivity (e.g. new machinery) is too high, unit costs may rise.
• Many confuse lean production with simply cutting costs. Lean is about eliminating waste, which can include overproduction, waiting, and defects, not just reducing staff or materials.
• Some believe JIT is only about reducing stock levels. JIT also requires strong supplier relationships, accurate demand forecasting, and can increase vulnerability to disruptions.

1. 1Day 1-2: Learn key definitions and formulas (productivity, unit costs, capacity utilisation). Practice calculations with past paper questions.
2. 2Day 3-4: Study lean production and JIT in depth. Create a table of advantages and disadvantages, and find real business examples.
3. 3Day 5-6: Explore investment in technology and other methods (e.g. Kaizen, cell production). Link to impacts on stakeholders.
4. 4Day 7-8: Practice exam-style questions, focusing on application and evaluation. Use mark schemes to refine answers.
5. 5Day 9-10: Review common misconceptions and create flashcards for active recall. Test yourself on mixed questions.

• 📋Calculation questions: e.g. calculate labour productivity or unit cost. Show your workings clearly and include units.
• 📋Explain questions (4-6 marks): e.g. explain one benefit of lean production to a business. Use context and develop your point.
• 📋Analyse questions (6-9 marks): e.g. analyse the impact of JIT on a business's cash flow. Use chains of reasoning and refer to the case.
• 📋Evaluate questions (9-25 marks): e.g. evaluate whether a business should invest in new technology to improve efficiency. Consider both sides and reach a justified conclusion.