2.3.4 - Resource management

Syllabus
2017
Topic
2.3.4
Level
AS

Learning objectives

2.3.41a - Methods of productionCompare job, batch, flow and cell production.2.3.41b - ProductivityCalculate productivity and analyse factors affecting it, its link with competitiveness and ways to improve it.2.3.41c - EfficiencyExplain production at minimum average cost, factors affecting efficiency and ways to improve it.2.3.41d - Labour and capital intensityDistinguish labour-intensive from capital-intensive production.2.3.41e - Product lead-in timesExplain competitive advantage from short product lead-in times.2.3.42a - Capacity utilisation calculationCalculate capacity utilisation as current output divided by maximum possible output times 100.2.3.42b - Capacity under- and over-utilisationAnalyse implications of under-utilisation and over-utilisation of capacity.2.3.42c - Improving capacity utilisationEvaluate ways of improving capacity utilisation.2.3.43a - Inventory control diagramsInterpret inventory control diagrams.2.3.43b - Buffer inventoryExplain buffer inventory.2.3.43c - Poor inventory controlAnalyse implications of poor inventory control.2.3.43d - Just in timeExplain just in time inventory management.2.3.43e - Waste minimisationExplain waste minimisation.2.3.43f - Lean production advantageExplain competitive advantage from lean production.2.3.44a - Quality methodsCompare quality control, quality assurance and quality circles.2.3.44b - Total Quality ManagementExplain Total Quality Management.2.3.44c - KaizenExplain continuous improvement through Kaizen.2.3.44d - Quality management advantageExplain competitive advantage from quality management.

Choose a production method to fit the product and volume

A production method determines how work and resources are organised. The best fit depends on output volume, variety, customisation, skill, capital and required speed.

Method Organisation of work Strongest fit Main trade-off
job one unique order completed separately customised, high-value output skilled labour, long time and high unit cost
batch identical items made together before switching repeated varieties with moderate volume set-up time and inventory between batches
flow standardised units move continuously through fixed stages high-volume, predictable demand costly equipment and low flexibility
cell multi-skilled team completes a product or major section variety with teamwork and responsibility training and careful cell balancing

Job production can create pride and meet individual specifications. Batch spreads set-up over several units. Flow can produce consistently at speed. Cell production can reduce movement, strengthen ownership and identify quality problems within a team.

Production is the conversion of inputs into goods or services; it is not the same as productivity. No method is universally best, and a business may combine methods across stages.

Productivity measures output from an input over time

Productivity relates output to one unit of input during a stated period. Labour productivity and machine productivity therefore need an identified input and consistent time unit.

productivity=output÷inputoverastatedtimeperiodtimerequired=requiredoutput÷outputperunitoftimeproductivity = output ÷ input over a stated time period time required = required output ÷ output per unit of time

If 8 employees produce 960 units in a 6-hour shift, labour productivity is 960 ÷ 8 = 120 units per employee per shift, or 20 units per employee-hour. A machine producing 12.5 units per minute needs 70,000 ÷ 12.5 = 5,600 minutes, or 93.33 hours.

Improvement route Possible mechanism Qualification
training and motivation skill, effort and fewer mistakes raise useful output costs time and may not fix poor equipment
technology performs repeatable tasks faster or continuously investment, maintenance and training are needed
better organisation removes delay, movement and bottlenecks requires reliable process data
flexibility and teamwork resources shift to where demand is greatest role breadth may need training

Production is total output; productivity is output per input. Higher productivity can lower unit cost and support competitiveness only if quality, safety, demand and rivals' performance are also considered.

Efficiency means producing at minimum average cost

A business is productively efficient when it produces output at the minimum possible average cost, making effective use of labour, capital and materials.

averagecost=totalcost÷outputaverage cost = total cost ÷ output

If annual total cost is 420millionandoutputis26millionitems,averagecostis420 million and output is 26 million items, average cost is420m ÷ 26m = $16.15 per item. The calculation describes current unit cost; efficiency asks whether resources could produce that output at a lower average cost.

Factor Route to greater efficiency Possible limit
standardisation and layout less switching, movement and delay variety may be reduced
technology faster, consistent processing fixed cost and breakdown risk
workforce skill and motivation fewer errors and better problem-solving training and rewards cost money
inventory and waste control less spoilage, storage and idle material shortages may interrupt production
suitable scale and capacity fixed cost spread over useful output excess scale creates unused resources

Efficiency is not simply high output or cost cutting. A cut that causes defects, delay or lost demand may increase total cost later. Compare average cost on a consistent output and quality basis.

Production intensity describes the dominant input

Labour-intensive production relies mainly on human effort and skill; capital-intensive production relies mainly on machinery, equipment or technology. Most businesses use both, so the distinction is about relative emphasis.

Feature Labour-intensive Capital-intensive
strongest fit customised, small-batch or judgement-rich work standardised, high-volume or repetitive work
cost pattern more wage and training cost large investment, maintenance and depreciation
flexibility people may switch tasks or specifications equipment may be fast but specialised
consistency and speed depends on skill, fatigue and motivation can operate continuously with repeatable output
wider effect employment and human contact fewer routine roles but demand for technical skill

A handmade product may support differentiation and premium pricing, while automation may reduce unit cost once output is high enough. A hybrid can allocate precise repetitive stages to machinery and complex finishing or service to skilled employees.

Capital-intensive does not mean no workers, and labour-intensive does not mean no machinery. Judge the mix using demand volume, finance, quality, flexibility and the task itself—not a universal ranking.

Short lead-in times turn market change into sales quickly

Product lead-in time is the time from obtaining inputs and beginning development or production to making the finished product available to the customer. Shorter time can create competitive advantage in dynamic markets.

Shorter-time effect Route to advantage
faster response to trends current demand is served before it changes
quicker fulfilment waiting falls and customer satisfaction may rise
smaller forecast horizon less stock is committed far ahead of demand
rapid replenishment successful products return to sale before demand is lost
frequent launches range stays current and may differentiate the offer

Lead-in time can fall through nearby or reliable suppliers, flexible teams, digital information, modular design and efficient production. These choices may also reduce inventory, but the business must preserve specification, safety and quality.

Speed matters most where tastes change quickly or customers value prompt delivery. It may matter less for bespoke products where customers accept waiting for craftsmanship, or where faster production raises defects and returns.

Lead-in time is not delivery time alone: it covers the wider route to an available finished product. Shorter is an advantage only when customers value it and quality and cost remain competitive.

Capacity utilisation compares actual with maximum output

Capacity utilisation is the percentage of maximum possible output that a business actually achieves during the same period.

capacityutilisation=(currentoutput÷maximumpossibleoutput)×100capacity utilisation = (current output ÷ maximum possible output) × 100

A restaurant that serves 1,110 lunchtime customers when it could serve 1,500 has utilisation of (1,110 ÷ 1,500) × 100 = 74%. A bus carrying 19 passengers from 45 seats has (19 ÷ 45) × 100 = 42.22%.

Check Reason
same period daily output cannot be divided by monthly capacity
same unit passengers, units or hours must match
actual output in numerator utilisation asks how much capacity is used
maximum possible output in denominator this is the 100% reference
percentage sign the ratio is multiplied by 100

Maximum capacity can change after investment, downsizing or a service-design change. A high percentage is not automatically desirable, and a lower percentage can follow a deliberate quality or space decision.

Too little and too much capacity create different pressures

Under-utilisation means resources exceed current output needs; over-utilisation means resources operate so close to their limit that they become overstretched.

Position Possible costs Possible benefits or causes
under-utilisation fixed cost per unit rises; staff motivation or brand image may weaken spare capacity accepts sudden demand, supports maintenance or preserves service choice
over-utilisation overtime and breakdown risk rise; mistakes, delays and lost orders become more likely strong demand spreads fixed cost and avoids idle resources

Under-utilised transport may retain frequent departures because convenient times protect market share and cope with seasonal peaks. Over-utilised production may postpone maintenance or training, increasing defects and making it impossible to meet an additional order.

The effect depends on duration, demand variability, cost structure and service promise. Some spare capacity is resilience; persistent spare capacity may be wasteful. Near-full use can be efficient briefly but fragile if there is no room for disruption.

Under-utilisation is not automatically failure, and 100% utilisation is not automatically optimal. Capacity pressure must be judged against demand volatility, quality, employee welfare and recovery time.

Improve utilisation by changing demand or available capacity

Capacity utilisation can be improved by bringing actual output and maximum capacity into a more suitable relationship. The required direction depends on whether capacity is under- or over-used.

Starting problem Possible response Main risk
under-utilisation promotion, lower price, new markets or off-peak offers raise demand added sales may not cover marketing or discount cost
under-utilisation balance seasonal demand or share facilities demand may remain uncertain
under-utilisation relocate, sell assets or reduce maximum capacity future growth room and flexibility fall
over-utilisation add shifts, employees, equipment or premises higher fixed cost if demand later falls
over-utilisation raise price or redirect demand across times/products customers may switch
over-utilisation subcontract selected work control over quality and delivery may weaken

Match the response to the cause and expected duration. Flexible working or shared space can absorb variable demand without a permanent capacity commitment; expansion is stronger when demand is durable and finance is available.

Improving utilisation does not always mean making the percentage higher. An over-stretched service may deliberately lower utilisation to restore quality, while downsizing can raise the percentage without increasing output.

Read an inventory diagram as a repeating time cycle

An inventory control diagram normally places time on the horizontal axis and inventory level on the vertical axis. Falling lines show use; vertical rises show deliveries.

Feature Interpretation
maximum inventory level level immediately after a full delivery
buffer inventory minimum reserve intended to prevent stock-out
re-order level inventory level that triggers an order
lead time time between reaching re-order level and delivery arriving
downward slope rate at which inventory is used
vertical rise a delivery added to inventory

reorderquantity=inventoryjustafterdeliveryinventoryjustbeforedeliveryleadtime=deliverytimereordertimere-order quantity = inventory just after delivery - inventory just before delivery lead time = delivery time - re-order time

Read the axes and scale first. Trace backward from a delivery to the earlier point where the re-order level was reached. If inventory rises from 25 to 95 units, the order quantity is 70 units; if re-order occurs in week 3 and delivery in week 8, lead time is 5 weeks.

The syllabus requires interpretation and calculation, not drawing the diagram. Do not confuse re-order level with buffer inventory or assume the order is placed when inventory reaches zero.

Buffer inventory protects against uncertainty at a cost

Buffer inventory is an emergency reserve held above zero to reduce the chance that unexpected demand or delayed supply stops sales or production.

Benefit Cost or risk
meets sudden demand cash is tied up before sale
covers supplier or transport delay storage, insurance and handling cost rise
keeps production operating goods may perish, deteriorate or become obsolete
protects customer service and reputation space is unavailable for other uses
may permit bulk purchasing excess inventory can require discounting or disposal

A business with unreliable suppliers, long lead times or costly stock-outs may justify a larger reserve. A seller of perishable goods, a firm with stable rapid replenishment, or a business short of cash may prefer a smaller one.

Choose buffer size by comparing the probability and consequence of shortage with holding cost. Better forecasting, supplier reliability and shorter lead time can reduce the reserve needed without accepting the same stock-out risk.

Buffer inventory is not all inventory and is not automatically waste. Too little can lose sales; too much can create spoilage and cash pressure. The right level is context-dependent.

Poor inventory control creates stock-in and stock-out costs

Inventory control aims to hold enough inputs or finished goods for operations and sales without holding an unnecessarily costly surplus.

Control failure Immediate effect Business consequence
too much inventory storage, insurance, spoilage or obsolescence rises cash is tied up and profit may fall
too little inventory production stops or customers cannot buy lost sales and reputation damage
ordering too early average inventory rises working-capital pressure increases
ordering too late inventory reaches zero before delivery idle labour, emergency purchasing or delay
inaccurate records wrong quantities are ordered repeated surplus or shortage
poor rotation older items remain unused waste and write-offs rise

For a seasonal seller, excess stock after the event may have little resale value, while shortage during the event permanently loses the sales opportunity. The same quantity can therefore be too high after demand and too low before it.

Use updated demand evidence, accurate records, re-order levels, stock rotation, supplier lead-time monitoring and appropriate buffers. Each control has administrative cost, so precision should match the inventory's value and risk.

Minimising inventory is not the same as optimising it. Inventory that appears costly can protect revenue, while a low balance can conceal repeated stock-outs.

Just in time makes reliable flow replace stored inventory

Just in time (JIT) arranges for inputs to arrive shortly before they are needed, keeping raw materials, work in progress and finished inventory to a minimum.

Potential advantage Dependency or disadvantage
less storage, insurance and handling frequent deliveries may raise transport cost
less cash tied up in inventory supply delay can stop production immediately
lower spoilage and obsolescence demand or production must be predictable enough
defects and process delays become visible reliable quality and close supplier relationships are essential
flexible response can reduce unwanted stock sudden demand may exceed available inputs

JIT is stronger where suppliers are nearby or dependable, lead times are short, information is accurate and production is coordinated. A business facing long, uncertain international supply or safety-critical availability may retain buffer inventory.

JIT supports waste minimisation and lean production because excess materials and waiting are reduced. Its success comes from process reliability, not merely ordering less inventory.

JIT does not mean inventory literally arrives at the last possible second or that all inventory becomes zero. It transfers emphasis from stored protection to dependable information, suppliers and flow.

Waste minimisation removes resource use that adds no customer value

Waste minimisation reduces materials, time, energy, movement and output that do not add value for the customer. This can improve efficiency and lower unit cost.

Waste source Reduction approach Possible effect
defects and rework quality at source and root-cause correction fewer materials and labour hours lost
excess or obsolete inventory better forecasting, rotation and smaller replenishment less spoilage and tied-up cash
waiting and bottlenecks balance stages and maintain equipment shorter lead time and more output
unnecessary movement improve layout and cell organisation less handling time and damage
overproduction align production with demand less storage and discounting
excess packaging or energy redesign process or reuse inputs lower resource cost and environmental impact

Perishable inputs, uncertain sales and long transport make waste harder to control. Historical demand, modern tracking, chilled storage and using older stock first may reduce losses, but each method has a cost.

Waste is not every unused resource: spare capacity or buffer inventory may provide resilience. Removing all slack can increase stock-outs, defects or disruption, so minimise non-value use without weakening the customer outcome.

Lean production competes by delivering value with fewer resources

Lean production is an approach that removes activities and resources that do not add customer value while preserving the quality and flow customers require.

Lean practice Resource effect
JIT reduces stored inventory and exposes unreliable flow
Kaizen employees make continuous small improvements
cell production and teamwork reduces movement and strengthens ownership
quality at source prevents defects and rework rather than accepting waste
process simplification removes delay, duplication and unnecessary steps

Lower material, space, time and defect costs can support lower prices or higher margins. Faster, more reliable delivery and consistent quality can strengthen reputation, repeat purchase and differentiation.

Competitive advantage depends on implementation and rivals. JIT can fail when supply is unreliable; fewer resources can leave no recovery margin; training and redesign cost money. A large rival may match the savings or compete through a different strength.

Lean means removing waste, not simply cutting every resource or employee. Cost reduction that causes delay, shortage or poor quality destroys rather than creates customer value.

Quality control, assurance and circles act at different points

Quality means how well a product or service does what it is intended to do. Control, assurance and quality circles improve it through different responsibilities and timing.

Method Focus and timing Strength Limitation
quality control finished output is inspected and faults detected direct check before sale faults may already contain full material and labour cost
quality assurance process is designed and checked to prevent faults at every stage prevention reduces rework and waste training and documentation take time and money
quality circle small employee group meets to identify and solve production problems uses worker knowledge and can motivate meeting time is lost unless management acts on ideas

Assurance may suit complex or high-value output where prevention matters; final control can remain useful in mass production or for safety checks. Circles are strongest where employees understand the process, can collaborate and trust managers to respond.

Assurance is proactive and process-oriented; control is reactive and product-oriented. Neither automatically guarantees zero defects, and circles advise and solve problems rather than inspect every product.

TQM makes quality everyone's continuing responsibility

Total Quality Management (TQM) is an organisation-wide culture in which every employee and process is responsible for meeting customer requirements and preventing defects.

TQM element Mechanism
customer focus requirements and feedback define useful quality
responsibility at source employees identify or stop faults before they continue
process measurement recurring defects and delays become visible
continuous improvement causes are corrected rather than repeatedly inspected out
supplier involvement input quality supports consistent output
training and communication employees understand standards and problem-solving

Fewer recalls, returns and repairs can reduce waste and cost; reliable output can strengthen trust and repeat purchase. TQM is especially valuable where a fault is costly or damages a warranty and reputation.

Implementation needs leadership, time, training, reliable data and employee commitment. It may initially add cost or slow a process, and production-focused TQM cannot by itself correct a poor product design or missing customer demand.

TQM is not a final inspection department and not a one-off quality campaign. It is a culture and system across functions; its label alone does not create quality.

Kaizen builds improvement from repeated small changes

Kaizen is continuous improvement through frequent, incremental changes suggested and implemented close to the work. It treats today's process as capable of becoming better.

Step Learning job
observe identify waste, delay, defects or variation in a real process
involve use employees' direct knowledge and invite specific ideas
test try a small change with a clear measure
compare check cost, time, output and quality before and after
standardise keep and communicate a change that works
repeat search for the next improvement rather than declaring completion

Small changes usually require less finance and disruption than a major redesign. Participation can improve motivation and reveal practical problems managers cannot see, while accumulated gains can reduce waste and unit cost.

Managers need to listen, provide time and feedback, share useful measures and avoid punishing the reporting of problems. Some situations still require a radical technology or capacity change rather than incremental adjustment.

Kaizen is not random suggestion-making and does not mean every idea is adopted. Continuous describes the improvement culture; changes should still be tested against quality, safety and customer value.

Quality management creates advantage when customers value consistency

Quality management can create competitive advantage by delivering a product or service consistently at the level customers expect, making the business more attractive than rivals.

Quality effect Route to competitive advantage
fewer defects and failures complaints, returns, warranty and rework costs fall
consistent performance trust, reputation and repeat purchase strengthen
better fit with customer requirements differentiation and satisfaction rise
credible superior quality customers may accept a premium price
fewer delays caused by correction lead-in time and reliability improve
employee problem-solving processes adapt and waste falls

Importance varies with product risk, price, customer expectations and ease of switching. For an expensive technical product, failure and return costs make quality crucial; in another market, speed, price or range may matter more.

Quality and speed can reinforce one another: preventing defects avoids rework and shortens delivery. They can also conflict if rushed output weakens checking. The strongest system manages both rather than assuming one universal priority.

High quality does not automatically mean luxury features; it means fitness for intended purpose and consistency. Advantage disappears if rivals match it or if added quality cost exceeds what customers value.