Made Smarter accelerates food factory automation

Smaller British food manufacturers are installing tempering, wrapping, filling, slicing, and monitoring equipment through the government-backed Made Smarter programme.

Projects across the North West, South East, and Yorkshire show how focused investments can remove production constraints without requiring the complete replacement of a factory or line.

Made Smarter provides independent technology advice, matched grants, leadership programmes, workshops, training, and support for digital internships. Participating food businesses range from specialist producers to contract manufacturers and equipment suppliers.

Kent chocolatier Cocoba is introducing tempering equipment to increase capacity while maintaining chocolate quality. Accurate tempering controls cocoa-butter crystallisation, which affects gloss, snap, contraction, handling, and resistance to fat bloom.

West Yorkshire bakery Get Baked is investing in automated flow wrapping, replacing a constrained packing stage with controlled film handling, sealing, and cutting. The additional capacity should allow finished products to leave packing at a rate closer to bakery output.

York-based Great Balls of Flour is installing an automated process that incorporates filling, capping, and labelling. The approximately £100,000 project is expected to improve productivity, support new employment, and help the pizza-dough manufacturer double turnover.

Todds of Kendal is using advanced bacon-slicing technology to develop more tailored services, while Brightside Brewing in Greater Manchester is introducing precision monitoring for gluten-free lager production. Micro Can is also bringing laser cutting and bending in house to strengthen its manufacturing capability for beverage packaging.

Taken together, the projects show digital transformation beginning with identifiable constraints rather than plant-wide software programmes. Repetitive handling, inconsistent output, weak process visibility, restricted throughput, and limited labour availability provide the starting points.

Every improvement reveals the next bottleneck

A faster machine alters the balance of the entire line. Automated wrapping may expose insufficient cooling, inconsistent spacing, slow checkweighing, or limited case-packing capacity, while a filling upgrade can create queues at capping or labelling.

Smaller manufacturers carry particular risk because one machine may consume a substantial share of available capital. Rated speed can be misleading where products vary, changeovers are frequent, sanitation is lengthy, or existing conveyors and controls cannot support the new output.

Measured production losses provide a stronger basis for investment. Hours spent packing manually, repeated product giveaway, start-up scrap, overtime, missed orders, and idle time around one process can be converted into a realistic target for the equipment.

Chocolate tempering illustrates the relationship between capacity and control. Increasing moulding or depositing speed without stabilising crystal formation may raise nominal output while creating more bloom, poor release, irregular finish, or rework.

Flow wrapping carries similar dependencies because product temperature, film specification, crumb levels, registration, sealing-jaw cleanliness, dwell time, and pack length all affect saleable output. Stable seals at a moderate speed can produce more finished packs than a faster line interrupted by repeated faults.

Data helps separate mechanical limits from organisational ones. Stoppage duration, reject rates, changeover loss, speed reduction, energy use, and quality failures can show whether the next improvement belongs in equipment, maintenance, materials, scheduling, or operator practice.

Collecting those values is only the first step. A production dashboard that does not change priorities, maintenance intervals, line settings, or work allocation adds another screen without improving the process.

Workforce planning must develop alongside the machinery. Removing repetitive handling can release operators for quality, preparation, maintenance, and scheduling, although those responsibilities require training in recipe control, fault diagnosis, software access, and basic engineering.

The value of trials and application support is already visible in Handtmann’s Product Innovation Centre, where products and processes can be tested before production machinery is committed to a live factory environment.

Independent advice can also prevent a technically capable machine being installed in the wrong setting. Floor space, washdown conditions, product dimensions, allergens, power, compressed air, drainage, connectivity, and future formats all need to be considered before the order is placed.

Several of the current Made Smarter projects are relatively contained, but their effect will extend beyond the new machine. An automated filler changes ingredient preparation and packaging demand; a wrapper alters finished-goods flow; precision monitoring changes how brewing decisions are recorded and verified.

As more smaller plants adopt automation, their competitive position will depend on how thoroughly the technology is absorbed into everyday production. Reliable output, controlled waste, shorter lead times, and repeatable quality provide a more useful measure than the number of machines connected to a network.