HookThe week KFC ran out of chicken
In February 2018, KFC switched its UK delivery contract from the specialist food distributor Bidvest to DHL, which planned to supply roughly 900 restaurants from a single depot in Rugby. Within days of the handover the network seized up: at the peak, around 700 KFC outlets were closed because a fried chicken chain had run out of chicken. The apology advert — the famous bucket relettered to read 'FCK' — became a marketing classic, but the operations lesson is the one that matters here: KFC ran a lean, just-in-time supply chain, and just-in-time means no buffer, so no room for error.
Section 2.4 is the operations toolkit. How you make things (job, batch, flow or cell production). How much output you squeeze from your inputs (productivity, and efficiency's focus on cost per unit). How hard you sweat your capacity. How much stock to hold — a warehouse full of insurance, or a lorry arriving just in time. And how you keep quality high enough that customers return. Every single one is a trade-off between cost and resilience or cost and flexibility, and the KFC week is simply what one of those trade-offs looks like when the dice come up wrong.
ModelProduction methods, productivity and efficiency
Four methods, in rising order of scale. Job production makes one-off items to order — a Savile Row suit, a wedding cake: maximum flexibility and premium prices, but slow and labour-expensive. Batch production makes groups of identical items in turn — a bakery running a tray of sourdough, then a tray of baguettes: flexible-ish, but time is lost switching between batches. Flow production runs continuously along a line — Nissan's Sunderland plant built over 500,000 cars in 2016, its best year: very low unit costs from scale, but colossal set-up cost and little flexibility. Cell production splits the line into teams, each owning a complete chunk of the work — keeping much of flow's pace while restoring variety and responsibility to workers.
Productivity is output per unit of input — usually output per worker per period. It matters because it drives unit labour cost: pay the same wages, get more units, and each unit carries less wage cost, which funds either fatter margins or keener prices. The levers Edexcel lists: training, investment in new technology and equipment, employee motivation, and smarter working practices. Efficiency is the wider idea — producing at the lowest possible average cost, which also depends on capacity utilisation, waste, and the scale of production. A firm can raise productivity yet stay inefficient if, say, half its output is defective.
A Stoke pottery employs 12 workers who together produce 480 mugs a day: productivity = 480 ÷ 12 = 40 mugs per worker. A new glazing kiln lifts daily output to 600 with the same staff: productivity = 600 ÷ 12 = 50 mugs per worker — a 25% rise. Watch the unit cost effect: if the daily wage bill is £1,320, labour cost per mug falls from £1,320 ÷ 480 = £2.75 to £1,320 ÷ 600 = £2.20. That 55p per mug is the pottery's new room for manoeuvre — it can undercut rivals, absorb a clay price rise, or bank the margin. This chain — productivity up, unit cost down, competitiveness up — is the analysis Edexcel wants written out in full.
DataCapacity utilisation — sweating the assets
Capacity utilisation = current output ÷ maximum possible output × 100. It matters because most capacity costs are fixed: the factory rent, the machinery depreciation and the salaried staff cost the same whether the plant runs flat out or half empty. Under-utilisation spreads those fixed costs over few units, bloating cost per unit — which is why airlines obsess over load factors and why hotels discount midweek rooms rather than leave them dark. Over-utilisation has subtler costs: at close to 100% there is no downtime for maintenance, no slack to accept a rush order, staff burn out and quality starts to slip. Many operations managers treat roughly 85–90% as the sweet spot — high enough to be efficient, slack enough to breathe.
To fix under-utilisation: stimulate demand (price cuts, promotion), find new uses for capacity, or rationalise — close or sell the surplus. To fix over-utilisation: invest in more capacity, or subcontract the overflow. Each fix has a cost or a risk, which is exactly the trade-off language an 'assess' answer needs.
A Cornish brewery can produce 20,000 litres a month at full stretch but currently brews 15,000: utilisation = 15,000 ÷ 20,000 × 100 = 75%. Its monthly fixed costs are £60,000, so each litre currently carries £60,000 ÷ 15,000 = £4.00 of fixed cost. Win a supermarket contract lifting output to 18,000 litres (90% utilisation) and the burden falls to £60,000 ÷ 18,000 ≈ £3.33 — the same beer is 67p a litre cheaper to make without cutting a single cost. That is why volume deals at thin margins can still be rational: the extra litres are not carrying the brewery, they are lightening the load on every litre already brewed.
MechanismStock control — the buffer versus just-in-time
The classic stock control diagram is a saw-tooth: stock is delivered up to a maximum level, is used down over time, and is re-ordered when it hits the re-order level — set so that the new delivery arrives, after the supplier's lead time, just as stock reaches the buffer level, the safety minimum held against surprises. Reading the diagram is an exam skill in itself: a steeper usage line means faster sales; a delivery arriving below buffer level means the lead time was longer than planned.
Just-in-time (JIT) abolishes the buffer: components arrive as production needs them, finished goods leave as orders arrive. The prizes are real — no warehouse costs, no cash entombed in shelved stock, no waste from stock going stale or out of fashion, and problems surface immediately rather than being hidden behind inventory. The price is fragility: JIT works only with utterly reliable suppliers, short dependable lead times and stable demand. KFC's 2018 week of closed restaurants was a JIT failure in fast food; the pandemic and the 2021 Suez Canal blockage taught the same lesson to manufacturers worldwide, and many have since edged back towards 'just in case' buffers for critical parts. Lean production is the umbrella philosophy — eliminating every form of waste (overproduction, waiting, defects, excess motion, excess stock) — of which JIT is the most famous tool.
ModelQuality — control, assurance, TQM and kaizen
Quality control inspects output at the end of the line and rejects the defects: simple, but wasteful — the faulty mug is already made, and responsibility for quality belongs to inspectors rather than makers. Quality assurance builds checking into every stage, with each worker responsible for passing on only good work: defects are caught early or prevented entirely. Quality circles formalise worker input — small groups meeting regularly to solve quality problems from the shop floor. Total quality management (TQM) makes quality the whole organisation's culture: every department treats the next stage as its customer. And kaizen — continuous improvement — pursues quality through thousands of small, cheap, permanent improvements rather than occasional grand redesigns; it is the philosophy behind the Toyota Production System, where any worker can stop the entire line to fix a problem at source.
Why it pays: quality is a competitive advantage that supports premium pricing, cuts the real costs of scrap, rework, returns and warranty claims, and builds the reputation that keeps marketing costs down. But strong answers stay honest about the costs — training, inspection time, cultural change — and note that even the benchmark slips: Toyota itself recalled millions of vehicles in 2009–10, evidence that quality systems require maintenance, not just installation.
VocabularyKey terms the mark scheme pays for
TrapsMisconceptions that cost marks
ExamWhat examiners want
The calculations here — capacity utilisation, productivity, unit costs — are gift marks if you show the routine: formula, substitution, answer with the unit ('75%', '40 mugs per worker'). Where a question gives you fixed costs, take the extra step of computing fixed cost per unit at two output levels; that single comparison is usually the analysis the mark scheme is fishing for.
On 'assess' questions, 2.4 is the theme of trade-offs, and the top band belongs to answers that name both sides: JIT saves holding costs but concentrates supply risk; high utilisation cuts unit costs but removes flexibility; flow production is cheap per unit but inflexible if tastes change. Then anchor the judgement in the case: a supermarket with daily deliveries and stable demand suits JIT far better than a manufacturer importing components with six-week lead times. On quality questions, never write 'the firm should improve quality' — name the system (assurance versus control, kaizen versus one-off investment), say who does the checking, and identify what it costs as well as what it earns.