Autonomous Forklift Automation for a UK Plastics & Polymer Processing Operation

Plastics and polymer processing sites in the UK share a distinctive intralogistics fingerprint: a near-continuous flow of raw polymer arriving in 25 kg sacks, 1-tonne IBCs and octabin gaylords, feeding an injection-moulding, blow-moulding or extrusion floor that runs 24/7, then a downstream queue of finished-goods pallets — often lightweight but bulky — being buffered before packing and dispatch. When that flow is served by human-driven forklifts on a two- or three-shift rota, the bottleneck rarely sits with the moulding machines; it sits in the pallet moves between them.

This case study describes an illustrative scenario — how a vendor-neutral autonomous forklift deployment typically looks for a mid-sized UK plastics and polymer processing operation. It is not a named client reference; the operator, layout and figures below are representative of what FlyWei's engineers see on plastics sites, not a single project.

Operation profile

• Sector: Plastics & polymer processing — injection moulding and thin-wall packaging containers.
• Scale band: Regional mid-sized processor, roughly 15,000–30,000 m² under one roof with 40–120 moulding machines.
• Shift pattern: Continuous 24/7 operation on a four-crew rota.
• Throughput band: In the region of 400–900 pallet moves per day between raw-material store, machine-side buffer, finished-goods buffer and outbound loading bays.
• Load types: IBCs of virgin resin, octabins of regrind, europallets of finished containers, half-pallets of trim and labels.

At-a-glance application snapshot

Typical, indicative engineering ranges — not project outcomes:

• Autonomous counterbalance forklift class: typically 1.4–3 tonne load capacity.
• Autonomous stacker and pallet-truck class: typically 1–2 tonne load capacity.
• Lift heights covered: ground drop-off up to about 6 m on standard stackers, higher on dedicated very-narrow-aisle units.
• Aisle widths accommodated: from about 1.6 m in narrow-aisle configurations up to conventional 3.5 m mixed traffic.
• Travel speed range: typically up to about 1.7 m/s, throttled automatically in mixed-traffic zones.
• Runtime per charge: in the region of 8–12 hours of duty on lithium chemistry with opportunity charging.
• Integration surface: WMS or ERP over standard fleet-manager APIs, plus PLC handshakes on moulding machines and shrink-wrappers.

The challenge

Plastics processors face a stack of intralogistics pressures that few other sectors combine so consistently:

• 24/7 machine-side feeding. A moulding cell that runs out of resin loses tens of minutes to purge and restart. Night-shift driver headcount is the pinch point.
• High-cube, low-weight finished goods. Thin-wall containers, closures and trays produce tall, light pallets that are easy to topple in manual handling and consume floor space quickly.
• Mixed load types. The same corridor sees a 1,200 kg IBC one minute and a 90 kg pallet of lids the next — controllers and load-detection have to cope with both.
• Space is expensive. Many UK plastics sites are landlocked on industrial estates; racking taller and running narrower aisles beats extending the building.
• Safety and dust. Regrind lines, purge stations and hot-runner areas raise both fire-load and slip-risk considerations for pedestrian traffic.
• Static and humidity. Polymer dust and dry-air conditioning can degrade optical sensors on lesser-specified trucks — sensor choice matters.

The solution — vendor-neutral by design

FlyWei is an independent UK systems integrator of autonomous forklifts and mobile robots. That matters here because a plastics site almost never fits one truck class. A vendor-neutral integrator can specify a mixed fleet where each move is served by the most cost-effective machine, rather than forcing every move onto whichever manufacturer the buyer signed with first.

A representative fleet mix for the operation profiled above would typically include:

• Autonomous counterbalance forklifts, 2–3 tonne class, for full IBCs and heavy octabins between the raw store and machine-side buffer.
• Autonomous pallet stackers, 1–2 tonne class up to about 6 m lift, for machine-side to finished-goods buffer moves and for feeding shrink-wrappers.
• Autonomous reach or very-narrow-aisle trucks where floor space forces sub-2 m aisles in the finished-goods block.
• An overarching fleet manager and safety-rated controller layer to schedule mixed traffic and to handshake with the site's existing WMS or ERP.

Because FlyWei is not tied to any single manufacturer, sensor and controller choices can be tuned to the plastics environment — for example specifying LiDAR and safety scanners rated for the dust and static profile of a regrind hall, rather than accepting whatever ships in a fixed original-equipment package.

How a deployment typically runs

1. Free site survey. FlyWei's engineers walk the floor with the operations lead, map traffic, log manual-handling incident reports, and record the top ten recurring pallet moves.
2. Simulation and business case. The proposed fleet mix is modelled against real move logs — the case is built qualitatively on labour redeployment, night-shift coverage and rack-space release.
3. Phase 1 — one aisle, one shift. A single autonomous forklift or stacker is deployed on a defined loop with a WMS handshake. Operators shadow it for a week and tune the loop.
4. Phase 2 — full shift automation. The fleet is scaled up, night-shift coverage is switched over, and the fleet manager is integrated to the ERP.
5. Live ops and scale. Continuous tuning, seasonal retasking of trucks between resin feed and finished-goods, and additional units added as the business grows.

Typical results — ranged and qualitative

Every plastics site is different, and honest engineering estimates are given as ranges rather than certainties. Operators of comparable plants typically see:

• Night-shift pallet-move headcount reduced or redeployed to higher-value tasks such as quality, changeover and machine minding.
• Travel time between raw store and machine-side buffers generally falls, because autonomous trucks do not queue for the canteen or the toilet.
• Fewer damages to tall, light finished-goods pallets, because speeds are throttled automatically in the finished-goods block.
• Racking can be rebuilt taller and narrower, releasing floor space without extending the building.
• Manual-handling injury reports on repetitive pallet moves tend to fall.

None of the above is quoted as a headline percentage. Any operator that publishes a single fabricated figure on a case study is guessing — the honest answer is a defensible range built after the site survey.

What to consider for your plastics site

• Where are your top ten repeating pallet moves today, and how many hours per shift do drivers spend on them?
• Are you constrained by floor space, labour or machine feeding? The answer changes the fleet mix.
• Does your WMS or ERP already expose a task API, or will the deployment need a light middleware layer?
• Is night-shift the bottleneck? Autonomous forklifts do their best work on shift three.
• Have you priced the alternative — hire purchase, capital, or full-service leasing?

FlyWei's engineers publish practical detail on the machine classes that fit plastics sites — see autonomous forklifts, lifting robots for goods-to-person moves, our safety-rated AMR controllers, and the wider range of sector solutions we deploy across UK manufacturing. Cost is a legitimate first question; we publish an honest primer on autonomous forklift leasing that lays out lease-vs-buy without a firm price attached, because a firm price without a site survey would be dishonest.

Book a free site survey. If any of the above sounds familiar, the fastest way forward is a no-obligation walk-through with one of FlyWei's engineers. Because FlyWei is vendor-neutral, the recommendation you get will be the fleet mix that fits your plant — not whichever manufacturer we happen to represent.