Definition: Unit cost represents the average expenditure required to produce a single item of output.
Formula: It is calculated by dividing total costs (fixed + variable) by the total volume of production:
Economies of Scale: As production volume increases, fixed costs are spread across more units, typically leading to a decrease in the unit cost.
Operational Goal: Businesses strive to minimize unit costs to either increase profit margins or lower prices to attract more customers.
Capacity: This is the maximum possible output a business can achieve in a given period using its current resources (land, labour, and capital).
Capacity Utilisation: This metric measures the extent to which a business is actually using its maximum potential output.
Formula:
Determinants of Capacity: Factors include the size of the facility, the reliability of suppliers, the level of technology/automation, and the availability of skilled labour.
Formula Precision: Always ensure you are using the correct denominator. For productivity, it is the number of workers; for unit cost, it is the total output.
Contextual Analysis: When discussing productivity changes, look for the 'why'—did the business invest in new technology, or did they simply hire more staff?
Sanity Checks: Capacity utilisation should never exceed 100% in a theoretical calculation unless overtime or outsourcing is specifically mentioned as expanding the 'maximum'.
Impact Evaluation: If an exam question asks about the impact of high capacity utilisation, always discuss both the benefit (lower unit costs) and the drawback (lack of flexibility/stress).
Confusing Productivity with Production: Production is the total volume of output, while productivity is the efficiency of the process. A business can increase production by hiring more people while productivity actually falls.
Ignoring Fixed Costs: Students often forget that unit costs fall as output rises primarily because fixed costs (like rent) remain constant while being shared by more units.
Assuming 100% is Ideal: Operating at 100% capacity is rarely sustainable as it leaves no room for machine repairs, staff breaks, or unexpected orders.
