4. Operations management

Syllabus
9609–2026–2027
Section
4
Level
AS

4.1 The nature of operations

Syllabus
9609–2026–2027
Topic
4.1
Level
AS

Operations transforms four factors into valued goods and services

Factor of production Operational input
Land Natural resources and physical site
Labour Human time, effort, knowledge and skill
Capital Machinery, tools, buildings, systems and finance used productively
Enterprise Initiative, coordination, decisions and risk-taking that combine resources

Transformation has three stages: inputs → operations/process that changes form, location, condition, knowledge or availability → outputs of goods/services. A manufacturer converts materials into products; a hospital combines staff, facilities and information to transform a patient's condition; education develops knowledge/skills.

Added value=selling price of output−cost of bought-in inputs\text{Added value}=\text{selling price of output}-\text{cost of bought-in inputs}

Operations raises added value through desired quality/features, reliable speed, convenience, customisation and availability, while efficient processes, supply, inventory and waste control reduce input cost. Higher perceived value may support price/loyalty; lower cost may raise margin or enable competitive price.

Added value is not profit: wages, rent, energy, depreciation, marketing and finance costs still have to be paid. Operations contributes alongside marketing, HR and finance, and services also transform inputs.

Operational performance balances efficiency, effectiveness, productivity and sustainability

Concept Core question Why it matters
Efficiency How much useful output is gained per input / can waste and cost be reduced? Lower unit cost, faster flow and better resource use—without sacrificing required quality/service
Effectiveness Are the intended objectives/customer requirements achieved? Efficient production of the wrong/late/poor output is not success
Productivity What output is produced per unit of input in a period? Reveals capacity/resource performance and supports time/competitor comparison
Sustainability Can financial, social and environmental performance/resources be maintained long term without compromising future needs? Controls continuity, resource risk, legitimacy, cost and stakeholder outcomes

Labour productivity=output in a periodnumber of workers or total labour hours in that period\text{Labour productivity}=\frac{\text{output in a period}}{\text{number of workers or total labour hours in that period}}

105,000 units ÷ 50 workers = 2,100 units per worker per year. If 54,000 units use 21,600 labour hours, productivity = 2.5 units per labour hour. State the period and denominator; do not attach a currency unit unless output is measured in money.

Training, motivation, skilled recruitment, layout/process redesign, worker participation, reliable technology, maintenance, waste/quality reduction and better inventory/suppliers can raise labour productivity or efficiency. Measure before/after: extra output and lower unit cost must outweigh investment, training, disruption, redundancy, finance and breakdown risk.

Measure Potential business gain Cost/risk to test
Reduce material/energy/water/waste; reuse/recycle; renewable energy Lower long-run cost/tax, supply resilience and environmental impact Capital cost, payback uncertainty and operational disruption
Sustainable sourcing/packaging/transport and safe/fair work Reputation, customer/investor/employee attraction, compliance and new markets Supplier/verification cost, price impact and greenwashing risk

More total output does not prove higher productivity if inputs rose faster. Efficiency is not effectiveness, and moving waste/pollution elsewhere is not a complete sustainability improvement. Judge short and long run, full supply chain and stakeholder effects.

Capital and labour intensity trade scale and consistency against finance and flexibility

Capital-intensive operations use a high proportion/value of machinery, equipment and technology relative to labour. Labour-intensive operations rely relatively more on human effort and skill. Both use capital and labour; intensity is comparative.

Choice Benefits Limitations
Capital intensive High/continuous output and labour productivity; consistency/precision; scale economies and potentially lower unit/labour cost High fixed purchase/finance/maintenance/training cost and break-even output; breakdown/obsolescence; inflexibility; redundancy, repetitive work and skill dependence
Labour intensive Lower machinery start-up cost; flexible/customised/job production; human judgement, ideas, service/relationships, craft quality and easier small-scale adjustment Wage/training/recruitment cost; slower/lower or variable output; human error/quality inconsistency; absence/turnover/skills shortages and labour-relations risk

Choose by expected volume/stability, variety/customisation, quality/contact needs, wage versus capital/interest cost, available finance/skills, technology life, capacity utilisation, maintenance reliability and strategic/social objectives. Whole-life cost includes purchase, finance, energy, maintenance, downtime, training, redundancy and residual value.

A standard drink with stable mass demand may justify automation; bespoke furniture or legal advice may depend on skilled labour. If demand is too low, expensive machinery operates under capacity and its fixed cost can outweigh productivity gains.

Automation is not automatically cheaper, more flexible or sustainable, and labour intensity is not automatically low quality. Judge the process, market and full life cycle rather than one cost.

Job, batch, flow and mass customisation fit different volume–variety needs

Method Process/fit Advantages Disadvantages
Job One unique/bespoke order completed before next; low volume/high variety Customisation, flexibility, craft quality, customer satisfaction and premium price; output usually pre-sold Skilled labour, high unit cost, long lead time and low scale/productivity
Batch A group of identical items completes a stage before another batch/variant Variety with some scale; flexible scheduling and shared equipment Changeover/downtime, work-in-progress/inventory, uneven flow and planning complexity
Flow Standardised items move continuously/repetitively through fixed sequence; high stable volume Fast/high output, automation, consistency, scale and low unit cost High setup/fixed cost, inflexibility, breakdown stops line, repetitive work and requires sustained demand
Mass customisation Large-scale/flow technology makes standard modules but selected elements vary by customer Personalisation with scale, wider appeal and potentially premium value Complex data/modules/supply, capital cost, errors/delays and limits to genuine choice
Change issue Why it matters
Finance/layout/technology Purchase, installation, capacity and cash-flow risk
Skills/jobs/relations Training, deskilling, redundancy, resistance, motivation and culture
Process transition Downtime, quality faults, supplier/inventory and scheduling disruption
Market/brand fit Demand may not justify volume; standardisation may damage bespoke USP/price, while slow methods may lose sales through lead time

Judge demand volume/stability, variety/customisation, quality/lead-time target, current skills/capacity, finance, unit economics, brand and customer willingness to accept change. A staged pilot or hybrid may preserve specialist work while batches/flow handle repeatable components.

Methods describe process characteristics, not quality rankings. Mass customisation is not one-off job production: it combines high-volume standardisation with controlled customer options.

4.2 Inventory management

Syllabus
9609–2026–2027
Topic
4.2
Level
AS

Inventory control balances continuity against cash, cost and risk

Inventory type Purpose Example of disruption if unavailable
Raw materials/components Inputs waiting to enter production Production cannot start or continue
Work in progress (WIP) Part-completed output between stages A later stage becomes idle
Finished goods Completed output waiting for sale/delivery Demand cannot be met promptly
Benefits of holding inventory Costs/risks of holding inventory
Meet expected or unexpected demand; avoid lost sales; keep production running through delivery delays; support seasonal demand; gain bulk discounts Cash/working capital tied up and its opportunity cost; storage, labour, security and insurance; damage, theft, spoilage, depreciation or obsolescence; excess stock and disposal waste

Buffer inventory is extra/minimum stock held against uncertainty. Reorder level is the inventory quantity that triggers a new supplier order. Lead time is the time between placing that order and receiving it. A longer or less reliable lead time, faster usage or more variable demand usually requires an earlier reorder or larger buffer.

Read a simple inventory-control chart in sequence: (1) the downward line shows inventory being used; its gradient shows usage rate, (2) when stock reaches the reorder level an order is placed, (3) stock keeps falling during lead time, ideally no lower than the buffer/minimum level, (4) delivery makes the line rise by the order quantity, towards the maximum level. Calculate lead time from the horizontal gap between order and delivery; calculate order quantity from the vertical rise on delivery.

Supply chain management (SCM) coordinates the flow of materials, information, goods and services from suppliers, through operations and storage, to distribution and customers. Supplier choice/relationships, purchasing, quality, inventory, production, transport, delivery and returns must align so the right item reaches the right place, time, quantity and condition. Effective SCM can reduce delays, errors, inventory and cost while improving quality, flexibility and customer service; poor coordination can stop production, raise cost and damage loyalty/reputation.

Reorder level is not the point when new stock arrives: stock continues to fall during lead time. Maximum inventory is not automatically optimal, and SCM covers the whole connected flow—not only suppliers or warehousing.

JIT trades inventory protection for precise, reliable coordination

System Purpose and operation Strongest fit Main exposure
Just in Time (JIT) Inputs arrive shortly before use and output is produced in response to demand, so little inventory is stored Predictable demand/processes, short lead times, dependable quality and close, reliable suppliers/information A late/defective delivery or demand surge can cause stockouts, idle resources, delay and lost sales
Just in Case (JIC) Buffer inventory is held in advance to protect against uncertain demand, delivery or disruption Long/unreliable lead times, volatile demand, critical continuity, bulk/seasonal buying Cash is tied up and storage, waste, damage, obsolescence and excess-stock risks rise

Adopting JIT can reduce warehouse space, handling, insurance, deterioration/obsolescence and waste; release working capital; avoid overproduction; and expose process/quality problems for correction. Lower cost and faster, demand-led flow may improve efficiency, cash flow, margin and competitiveness.

JIT may require technology, forecasting, training and frequent small orders/deliveries; this can raise administration and transport cost and lose bulk discounts. Dependence on supplier quality/timing and accurate demand data means disruption can stop production, lengthen customer lead time, leave labour/capital idle and reduce sales, loyalty and profit.

Evaluate the scale of savings against the expected cost of failure. Test demand volatility, perishability/obsolescence, order variety, supplier number/location/reliability, lead time, transport risk, quality, bargaining relationships, coordination technology, continuity needs and available contingency. A hybrid may use JIT for predictable low-risk inputs and buffer/JIC stock for critical or uncertain items.

A car repairer covering many models may save storage cash under JIT, but if customers value 24-hour repairs and a specialist part is delayed, lost loyalty may outweigh that saving. Reliable local suppliers or a small buffer of critical fast-moving parts changes the judgement.

JIT is an inventory-management system based on timing and demand—not merely ‘zero stock’. It does not remove inventory or supply-chain risk; it shifts protection from stored stock to information, quality, supplier reliability and contingency.

4.3 Capacity utilisation and outsourcing

Syllabus
9609–2026–2027
Topic
4.3
Level
AS

Capacity utilisation trades unit-cost efficiency against flexibility and resilience

Maximum capacity is the greatest output possible in a stated period under specified resources and operating assumptions. Capacity utilisation measures how much of that potential output is actually used; spare capacity is the unused amount.

Capacity utilisation (%)=actual output in a periodmaximum possible output in the same period×100\text{Capacity utilisation (\%)}=\frac{\text{actual output in a period}}{\text{maximum possible output in the same period}}\times100

If output is 145,000 units and maximum capacity is 150,000, utilisation = 145,000 ÷ 150,000 × 100 = 96.7%. If an expansion raises maximum capacity from 15m to 18m while forecast output is 16m, forecast utilisation = 88.9%. Always adjust capacity first and match the period/units.

Operating state Potential benefits Costs/risks
Below maximum / spare capacity Can accept a demand surge or urgent order; time for maintenance/training; less employee/machine pressure Idle labour/assets; fixed costs spread over fewer units so unit cost may rise; lost scale/bulk discounts, revenue and competitiveness if demand exists
Near maximum Resources and fixed costs are used strongly; higher output may lower unit fixed cost and raise revenue/profit Little room for errors, maintenance or extra orders; overtime, stress, bottlenecks, stock shortages and quality/service risk
Temporarily over stated maximum Extra sales/orders may be met through overtime, subcontracting or unusually intense use Inefficiency and average cost may rise; breakdown, defects, delay, absence/turnover, unsafe or unsustainable pressure and reputation damage

Improve low utilisation through either side of the ratio. Raise actual output by stimulating demand (price/promotion/product/market/distribution changes), winning orders, reducing bottlenecks/downtime or improving productivity. Or reduce persistent excess capacity by selling/leasing assets, closing/consolidating sites, reducing shifts/workforce or outsourcing—but test redundancy, disruption, future-demand and lost-flexibility costs.

Choose a target buffer rather than chasing 100%. Compare demand level/volatility, seasonality, lead time, reliability, maintenance, workforce welfare, quality/service requirements, fixed-cost burden and the cost of lost orders. Capacity estimates can change when equipment, labour, layout or operating hours change.

Higher utilisation does not itself prove higher profit, productivity or quality. 100% can be too rigid, and spare capacity can have strategic value when demand or disruption is uncertain.

Outsourcing adds external capacity or expertise but reduces direct control

Outsourcing contracts a third-party business to perform a function or activity instead of using the business's own employees/assets. It may cover production, IT, logistics, payroll, cleaning or marketing; buying distribution access or forming a partnership is not by itself outsourcing.

Potential benefit Potential cost/risk
Add capacity quickly and respond flexibly to demand without premises/equipment investment Dependence on provider capacity, finance, timing and continuity; delays or failure can stop service/output
Access specialist skills, technology, quality or scale economies Provider margin plus search, contracting, monitoring, transport, switching and correction costs may exceed in-house cost
Convert some fixed cost to variable cost and release assets/cash Price changes, long contracts and loss of in-house capability can reduce future bargaining power/flexibility
Free managers/resources to focus on core competence, design, customers or growth Less direct control over quality, process, ethics and customer experience can harm consistency, loyalty and reputation
Improve productivity through specialist processes Redundancy/job insecurity may damage morale; confidential data, intellectual property or know-how may leak

Analyse a full chain, not a label: specialist equipment may raise consistency → fewer defects/returns → higher satisfaction and repeat sales. Conversely, a long external lead time may delay delivery → customers switch → revenue and reputation fall. The same impact depends on contract, monitoring and provider performance.

For a make-or-buy decision compare total in-house and outsourced cost, required capacity/speed/flexibility, provider expertise/quality/lead time/location, contract length and service levels, monitoring/switching/transport cost, data/ethical risk, employee impact, strategic importance and the value of control. Alternatives include overtime, leasing, internal investment, recruitment or a hybrid.

A hybrid can outsource peak volume or non-core stages while retaining design, final quality checks or distinctive craft in-house. This may preserve brand/knowledge and test the provider before a larger commitment, though coordination and duplicated capability still cost money.

Outsourcing is not automatically cheaper or lower quality. Judge total consequences and strategic fit: the provider relationship, contract, safeguards and activity outsourced determine the impact.