| Resource | How it influences operations decisions |
|---|---|
| Human resources | The skills, numbers and flexibility of the workforce determine which production methods are possible (e.g. skilled labour for job production; multi-skilled staff for lean production and cell production); labour shortages may push towards automation |
| Marketing | Sales forecasts determine capacity and inventory; the marketing mix (premium vs mass market) determines quality standards and production methods; customer demand for variety or speed shapes flexibility needs |
| Finance | Available capital determines whether the business can afford automation, new locations or ERP systems; cash-flow constraints may favour leasing, outsourcing or labour-intensive methods |
Operations decisions are therefore never made in isolation: a plan to introduce flow production requires finance for machinery, marketing evidence of stable high demand, and a workforce willing and able to adapt.
| Application | Impact on operations |
|---|---|
| Robotics and automation | Faster, more consistent production; lower labour costs; 24- hour operation |
| Computer-aided design and manufacture (CAD/CAM) | Faster product design; precise, flexible production; easier mass customisation |
| Internet of Things (IoT) sensors | Real-time monitoring of machines; predictive maintenance reduces breakdowns |
| AI demand forecasting and inventory optimisation | More accurate forecasts; lower inventory with fewer stock- outs |
| AI quality inspection (computer vision) | Detects defects faster and more reliably than human inspectors |
| Warehouse automation and logistics software | Faster order fulfilment; optimised delivery routes |
Benefits include higher productivity, quality and flexibility; drawbacks include high investment, cyber-security risks, dependence on technology, the need for new skills and job losses, which may cause resistance.