Steadier Cleanroom Supply and Fewer Gowning Trips for a UK Medical Devices & Life Sciences Operation

Illustrative scenario: this article describes a representative UK medical devices & life sciences operation, not an identifiable named client. Any figures are typical engineering ranges, not project-specific claims.

In a medical devices or life sciences warehouse, the costly part of moving a tote is rarely the tote. It is the person carrying it. Controlled areas, clean rooms and secondary-packaging halls are staffed by people who have been trained, gowned and signed in, so each of them walking a trolley to a handover bench is a qualified pair of hands doing work needing no qualification at all. Add a gowning cycle at every crossing and internal transport becomes one of the quietly expensive flows on site. Here is an illustrative view of how autonomous forklifts and lifting robots are typically applied to it.

Operation profile

The illustrative operator is a UK distributor and secondary-packaging operation in medical devices and life sciences (sterile consumables, diagnostic reagents, instrument spares and kitted sets) supplying NHS trusts, laboratories and export distributors from one site. Part of the building is a classified controlled area; the rest is ambient racking and despatch.

• Footprint: typically in the region of 8,000 to 20,000 m², of which a controlled or clean zone commonly occupies a tenth to a third.
• Shift pattern: often one long day shift inside the controlled area, with the ambient warehouse running two shifts, five or six days a week.
• Flow profile: broadly 200 to 700 pallet movements a day, plus several hundred to a few thousand tote, trolley and roll-cage moves between packing, storage and despatch.
• Constraints: gowning discipline at every crossing, aisle widths set when the building was fitted out, and a quality system nobody wants to disturb for a trolley.

At-a-glance application snapshot

Indicative bands for the classes that usually suit this environment: typical engineering ranges across the market, not a quotation or results from any one site.

• Lifting robots and jacking AMRs (totes, trolleys, roll-cages, shelves): payloads generally 150 to 1,000 kg, a jacking stroke of tens of millimetres, travel speeds commonly 1.0 to 1.8 m/s.
• Autonomous pallet trucks and stackers: payloads typically 1.0 to 3.0 tonnes; lift heights commonly 1.6 to 6 m, with reach classes extending to around 10 m for high-bay bulk, and narrow-aisle variants generally workable from roughly 1.6 to 2.2 m depending on truck class.
• Runtime: typically several hours per charge with opportunity charging at idle points, which makes unattended running between shifts realistic.
• Safety and navigation: certified safety scanners and functional-safety controllers rated to recognised performance levels, so machines share aisles with gowned staff rather than being fenced off; natural-feature SLAM avoids cutting magnets into a resin floor.

The challenge: transport that only qualified people are allowed to do

Most sites here have no throughput crisis. They have a people allocation problem, hiding inside material movement.

• The boundary tax. Each crossing means gowning, hand hygiene and sign-in. A few minutes each way is unremarkable alone; repeated dozens of times a shift by trained staff, it becomes a significant and largely invisible cost.
• Skilled hands on unskilled work. Packers, technicians and QA staff are nearest the trolley, so they move it, and recruiting here is rarely easy.
• Manual handling risk. Loaded roll-cages on resin floors are a recognised musculoskeletal hazard, and pushing them through airlocks is where near-misses cluster.
• Cleanability and handover integrity. Equipment near a controlled zone needs wipe-down surfaces, sealed bearings and non-marking tyres: a specification that varies widely by manufacturer. And a tote set down on the wrong bench is a traceability problem, not just a transport error.
• Fixed space. Classified space is slow and costly to re-plan, so automation has to fit the building as it stands.

The solution: match the class of machine to each side of the boundary

The mistake most often made here is treating this as one automation problem with one answer. It is usually three, and rarely all from one supplier.

Inside the controlled area

Tote, trolley and roll-cage flow is a job for lifting robots: low-profile jacking AMRs that drive beneath a trolley or shelf unit, lift a few centimetres and carry it. They are compact, quiet, easy to wipe down, and can be specified with non-marking tyres and smooth, sealed bodywork. Where picking is the bottleneck, the same class supports goods-to-person working: stock travels to a gowned operator at a bench instead of the operator walking to the stock.

Across the boundary

This is the part most often overlooked. A robot can be made the only thing that routinely crosses, using defined handover points either side of an airlock, with the door sequence driven from the fleet layer through the building's door controllers or PLC. Each load is identified at handover rather than at shift end, so lot identity is recorded by the system rather than by recollection.

In the ambient store

Pallet work (goods-in, replenishment, put-away and despatch staging) is conventional autonomous forklift territory: autonomous pallet trucks for long runs, autonomous pallet stackers and reach classes for racking, narrow-aisle variants where geometry is fixed.

Why vendor-neutral matters more here than almost anywhere

No single manufacturer makes the best cleanroom-suitable jacking AMR and the best 10 m reach truck and the best narrow-aisle stacker. Much of this market is sold as a single-supplier ecosystem that commits the whole building to one platform. FlyWei is an independent integrator (not an OEM, reseller or distributor) so each class is specified on its merits, manufacturers are mixed within one fleet, and all of it runs under one orchestration layer using open interfaces such as VDA 5050. Your ERP or WMS stays the record of stock: the fleet layer takes work from it over a documented interface, writes completions back, and talks to doors, interlocks and lifts over PLC I/O.

Our engineers usually start a life sciences project by walking the boundary with the quality lead rather than the aisles with the warehouse manager. Where people gown up tends to shape the design more than the pallet count does.

How a deployment typically runs

1. Free site survey. Aisles, apertures, floor and airlock sequences are measured, and boundary crossings counted alongside pallet moves, usually the most revealing number of the day.
2. Simulation and design. Flows are modelled before anything is ordered: fleet size, routes, charging points, handover locations and traffic rules, with cleanability and safety fixed here.
3. Phased rollout. One flow first, commonly the boundary handover, proven in live conditions alongside existing manual trucks.
4. Integration and acceptance. Interfaces to the warehouse system and door controllers are tested against real data and exception cases, including a dropped link mid-task.
5. Live operation and scale. Robots take repetitive routes, people keep exceptions and inspection; further flows and machine classes join the same fleet layer later.

Typical results

Qualitative and ranged, as they should be: a precise percentage quoted before a survey describes someone else's building.

• Boundary crossings by people typically fall substantially, because the robot becomes the thing that crosses, and gowning cycles reduce with them.
• Trained and gowned staff are typically redeployed to packing, inspection, kitting and QA rather than walking trolleys.
• Manual handling exposure drops where loaded cages are no longer pushed by hand through doorways.
• Handover records become systematic rather than recollected, which usually makes internal traceability easier to evidence.
• Running flows quietly between shifts becomes feasible, so the ambient store is replenished before people arrive.

What to consider for your site

• Count boundary crossings per shift, not just pallet movements, then multiply by your gowning cycle.
• Define cleanability early: surface finish, tyre compound, ingress protection, wipe-down regime.
• Check airlock apertures and interlock logic, and whether door sequences can be driven from a fleet layer.
• Involve quality and health & safety at the survey, not at acceptance.
• Confirm your warehouse system can expose open work and accept confirmations: a scheduled file exchange often suffices to start.
• Ask whether the proposed platform can accept machines from another manufacturer later.

For pallet classes see autonomous forklifts; for tote, trolley and goods-to-person work see lifting robots. Safety and navigation electronics sit under controllers, sector applications under solutions, and funding without an up-front capital commitment under leasing.

If this scenario resembles your operation, the useful next step is a survey rather than a brochure. FlyWei is an independent UK integrator of autonomous forklifts and AMRs, tied to no single manufacturer, so what we recommend is the machine class that fits your building and your quality system. Book a free site survey and talk to an engineer who will count your boundary crossings before proposing anything.