A production line collecting more data or running faster does not by itself demonstrate a successful transformation. Its effects on workers, resource use and the ability to cope with disruption also matter. Industry 5.0 proposes this broader perspective on technology investment. For production managers, the first question is which problem needs solving, before deciding which technology to buy.
How it relates to Industry 4.0
The European Commission presents Industry 5.0 as a vision that complements Industry 4.0. Connected machines, data analytics and automation remain valuable, while human centricity, sustainability and resilience broaden the evaluation. Businesses need not abandon their existing digital infrastructure. The same infrastructure can help workers make decisions or reveal resource losses. Source: the European Commission’s 2021 Industry 5.0 report.
Human centricity: involving the people doing the work
In human-centric manufacturing, operator knowledge informs system design. A control screen should address both management reporting needs and how a shift operator interprets an alarm. As a practical suggestion, test new screens with their users and record unclear warnings, unnecessary data entry and training needs. Clarify which decisions automation supports and which require human judgement. Workers then help improve the change rather than simply implement it.
Considering sustainability and resilience together
Sustainability concerns resource use and environmental impacts, while resilience emphasises the ability to adapt to disruption. A practical example is tracking scrap causes while preparing alternative operating arrangements for critical equipment. Energy per product can fall even while total consumption rises, so both measures should be reviewed. Similarly, increasing dependence on a single instrument or individual in pursuit of faster production deserves separate assessment.
First step: improving a small process together
Select a bounded process before launching a factory-wide project. A small team from production, quality, maintenance and operations should record the baseline. Suggested indicators include rework rate, resource use per product, downtime and usability problems reported by staff. Compare the same product family under similar operating conditions before and after the pilot. Check that improvement in one indicator does not conceal losses elsewhere. These steps are practical suggestions, not promises of a particular productivity increase or certification outcome.