Laydyne

Hospital morning specimen round

See whether a third delivery robot or a lift rule gets the morning blood specimens to the lab sooner.

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Do we need a third delivery robot, or a lift rule that keeps the service lift free for the robots during the morning specimen round?

Who uses it
Hospital facilities and logistics managers, nursing and laboratory management
How it can create value
Before buying a robot or changing the lift rules, see how long specimens take to reach the lab, whether the last box arrives before the morning analysis run, and what each option moves onto the bed lift and the porters. Faster delivery alone does not establish earlier results or savings; weigh it with the lab’s own processing, the robot’s cost and the effect on bed transfers.
Bring your site data
Specimen, medicine and supply runs by ward and time of day, measured loading and unloading times (including nurses coming to the robot), robot speed and docking, the lift’s speed, door times and control, the meal trolley and bed transfer schedules, and the lab’s cut-off time. Check the lift’s real dispatch and the robot vendor’s fleet rules before deciding.
Turn a comparison into a business decision →
Actual Laydyne 3D model: Hospital morning specimen round
Hospital morning specimen round5 levels · 1397 parts · synthetic layout

A model you can inspect.

A weekday morning from 6:30 in a hospital wing of five storeys. Each of the four wards (2F–5F) has a box of blood specimens ready for the 1F laboratory every 15 minutes from 6:35 (6 boxes a ward, the wards 3 minutes apart); the pharmacy sends each ward its morning medicines at 7:00 and the day’s injections at 7:50, and the stores one cart of supplies at 6:50. Two delivery robots (0.8 m/s) make every run: the nearest free robot drives from its bay to the sender, is loaded in 60 s, rides the service lift (lift 4) alone, is unloaded in 40 s (specimen boxes take turns at the lab’s one reception window) and goes back to its bay, busy until it is there. The service lift has one car (0.75 m/s, 8 s of doors and 4 s open at a stop, 5 s for each rider in or out) that takes one robot or one trolley at a time and follows simple fixed collective rules; it also carries 12 breakfast trolleys up from 7:10 and down with the trays from 8:10. Porters take six patients on beds to X-ray and back by the bed lift (lift 3). Specimen-to-lab time runs from the box being ready to the lab taking it. Compare a third robot with keeping the service lift for the robots (the trolleys then take the bed lift). Synthetic times and volumes. Not modelled: robot charging and faults, doors and corridor traffic between robots and people, priority calls, passenger lift traffic, nurses’ availability beyond the fixed loading time, pneumatic tubes or carrying by hand, specimen stability limits, costs.

Specimen box ready at the nurse station → the nearest free robot comes from its bay by the service lift → the nurse loads it → it rides down alone → waits its turn at the lab window → the lab takes the box → the robot goes back to its bay. Also: medicines and supplies up to the wards, breakfast trolleys up and tray trolleys down by the service lift, patients on beds to X-ray by the bed lift

Change one thing

With the same morning, compare 2 and 3 robots; then keep the service lift for the robots by sending the meal trolleys by the bed lift (0); or send fewer, larger specimen boxes (every 20 or 30 minutes).

Read the consequence

Specimen-to-lab time and when the last box reaches the lab, robots and trolleys waiting at the lift 4 landing, each robot’s runs, and the bed lift’s waits when the trolleys move to it. The lift follows simple fixed rules (no priority call for robots, no group control); charging, faults and corridor traffic are not modelled.

View the starting inputs
Delivery robots
2
Specimen boxes per ward
6
Time between a ward’s specimen boxes (s)
900
Loading a robot at the ward, pharmacy or stores (s)
60
Unloading at the lab or the ward (s)
40
Meal trolleys per ward
3
Meal trolleys by the service lift (1) or the bed lift (0)
1

Agent counts, routes and resource definitions are also saved in the project JSON.

The same demand. A different capacity.

One run, seed 7. Observation window 180 minutes. Arrivals, geometry and the seed set stay the same in every option.

ScenarioCompletedMean waitMean cycleBlocked
2 robots · service lift shared with meal trolleys668m 47s12m 51s0
3 robots · service lift shared663m 22s7m 27s0
2 robots · service lift kept for robots (trolleys by bed lift)663m 45s7m 52s0

Waiting averages cover arrived jobs, including unfinished waits; cycle averages cover completed jobs only. These are synthetic calculations, not measured site performance, revenue or a safety assessment.

Engine, status and output notes

process-des-2.7.0. Status: 2 robots · service lift shared with meal trolleys: completed; 3 robots · service lift shared: completed; 2 robots · service lift kept for robots (trolleys by bed lift): completed. “Completed” is the engine run status, not success for every job. Check blocked jobs and warnings.

  • No engine warnings.

Engine inputs and saved comparisons stay with the saved project. Any limited trace affects playback details, not aggregate metrics.

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