Unit 5 Operations management

Operations management transforms inputs such as materials, labour, information and capital into outputs while balancing quality, cost, speed, dependability and flexibility.

Operations choices connect directly to strategy: a low-cost strategy needs efficient flow, while a premium service may prioritise quality and responsiveness. Bottlenecks and variability affect the whole system.

Trace an input through the transformation and identify which performance objective the decision changes.

A meal-delivery firm redesigns kitchen flow to reduce waiting time; the change lowers lead time but must preserve food safety and accuracy.

Operations is not only manufacturing; services also transform resources through people, information and processes.

Operations methods describe how inputs are transformed into outputs: job, batch, mass and flow production are common patterns. The method should fit volume, variety, customisation and required flexibility.

Job production is highly customised, batch groups similar items, mass makes high-volume standardised output, and flow runs continuously. As volume rises, unit cost may fall but flexibility can fall too.

Classify the method from volume, variety, continuity and customer specification, then state the trade-off.

A bespoke wedding cake uses job production; a bakery making 5,000 identical loaves uses batch or mass production; an oil refinery uses flow.

The labels are not determined by industry alone; one business can use different methods for different products.

Mass customization combines high-volume standardized processes with customer-selected variations, often using modular design, flexible technology and delayed final assembly. It can offer personalization with lower unit costs than job production, but requires investment, accurate information and coordinated processes. Evaluate all four methods against context: job production offers uniqueness and close quality control but is slow and costly; batch production balances variety and scale but creates changeover time and stock risk; mass/flow production gives speed, consistency and low unit cost at high volume but is inflexible and costly to stop; mass customization improves customer responsiveness but adds complexity. The best choice depends on expected demand, required quality, acceptable lead time, workforce and technology, not volume alone.

A production location should support the strategy by balancing labour, materials, markets, infrastructure, regulation, community and total cost.

A low-cost site may increase transport or coordination costs; a market-facing site may improve service but raise rent.

List the dominant cost and service drivers, then compare sites using consistent weights and sensitivity checks.

A bakery locates near customers for freshness, while a bulk factory locates near raw materials and transport links.

The cheapest rent is not the cheapest operation once logistics and risk are included.

Analyse the complete location system: labour availability, skills, productivity and wages; proximity and reliability of suppliers; transport, energy and digital infrastructure; access to customers and delivery speed; land and operating costs; government taxes, grants, planning rules and trade policy; and environmental effects such as emissions, resource use, waste and exposure to climate risk. A factor matters through its effect on total cost, quality, capacity, resilience, reputation or strategic objectives, and its importance differs by product and market.

Outsourcing or subcontracting transfers an activity to an external provider; offshoring moves an activity to another country, whether internally owned or outsourced; insourcing brings an activity under the business's own control; reshoring returns an activity from abroad to the home country.

Outsourcing or offshoring may reduce cost, add specialist capability or increase flexibility, but can weaken quality control, expose supply chains and create coordination, ethical or reputation risks. Insourcing or reshoring may improve control, speed, intellectual-property protection and local employment, but requires investment, skills and potentially higher operating costs.

Separate the ownership decision from the geographic decision, then evaluate total cost, quality, control, flexibility, capacity, supply risk, employment and reputation. Include transition costs and whether the firm has the capability to perform the work internally.

A clothing business can outsource sewing to a specialist in its home country without offshoring, or reshore overseas production and keep it outsourced to a domestic supplier. These choices have different effects on ownership, logistics and employment.

Outsourcing does not necessarily mean abroad, and offshoring does not necessarily mean using an external supplier. Lower wage rates do not prove lower total cost once logistics, defects, delays and risk are included.

Contribution per unit is selling price minus variable cost per unit; total contribution pays fixed costs before profit.

A higher contribution can come from price or lower variable cost, but demand may change. Contribution is useful for short-run decisions when fixed costs are unchanged.

Calculate price−variable cost, multiply by volume, then check whether the decision changes fixed costs or demand.

A $10 meal with$6 variable cost contributes $4; 2,000 meals contribute$8,000 toward fixed costs.

Contribution is not profit until fixed costs are covered.

Break-even output is fixed costs divided by contribution per unit; at that volume total revenue equals total cost. Margin of safety shows how far expected sales are above break-even.

The chart makes assumptions visible: constant price, unit variable cost, fixed costs and a relevant output range.

Compute the point, label revenue/cost lines, then interpret what happens if volume or assumptions change.

Fixed costs are $20,000 and contribution$5, so break-even is 4,000 units; expected sales of 5,000 give a 1,000-unit margin of safety.

Break-even is a modelled threshold, not a forecast of demand.

Complete the model with these relationships: contribution per unit = selling price − variable cost per unit; break-even output = fixed costs ÷ contribution per unit; margin of safety = actual or forecast sales − break-even output; target profit output = (fixed costs + target profit) ÷ contribution per unit; profit at a stated output = total contribution − fixed costs; and target price = variable cost per unit + (fixed costs + target profit) ÷ target output. On the chart, output is on the horizontal axis and costs/revenue on the vertical axis: fixed cost is horizontal, total cost starts at fixed cost, total revenue starts at zero, and their intersection is break-even. For fixed costs of $20,000, variable cost of$6 and a $10 selling price, a$4 contribution gives break-even of 5,000 units. A $4,000 target profit needs (20,000 + 4,000) ÷ 4 = 6,000 units; at 7,000 units profit is 7,000 ×$4 − $20,000 =$8,000.

Changing price, variable cost or fixed cost changes contribution, break-even and profit; the direction is mechanical but the sales response may not be.

A price cut lowers contribution per unit but may raise volume; a fixed-cost rise shifts break-even without changing unit contribution.

Recalculate contribution and break-even, then test whether the assumed volume response is credible.

Price falls from $10 to$9 while variable cost stays $6: contribution falls from$4 to $3, so break-even rises unless volume grows enough.

Do not infer higher profit from higher sales without recalculating contribution.

Show each change graphically and quantitatively while holding other factors constant. A higher selling price steepens the total-revenue line, raises contribution, lowers break-even output and increases profit and margin of safety at a stated sales volume; a lower price does the reverse unless extra demand compensates. A higher variable cost steepens the total-cost line, lowers contribution and raises break-even; a higher fixed cost shifts the total-cost line upward in parallel and also raises break-even. Example: with fixed costs of $12,000, price$10 and variable cost $6, break-even is$12,000 ÷ $4 = 3,000 units. If variable cost rises to$7, contribution falls to $3 and break-even rises to 4,000 units; forecast sales of 5,000 then have a 1,000-unit rather than 2,000-unit margin of safety.

Break-even analysis simplifies reality by assuming linear revenue/cost relationships, stable prices and costs, one product or a constant mix, and known output.

Demand, capacity, step costs, quality, uncertainty and multiple products can invalidate the chart. It is best used with scenarios and sensitivity analysis.

State the assumption most likely to fail, then explain how it could change the decision.

A factory reaches overtime capacity, so variable cost rises in steps; the straight-line chart understates the true break-even point.

A precise break-even number can create false confidence when the assumptions are weak.