Evidence map›Paper›PMID 41712105›Full record

ArticleHealth care management science2026

Optimization of tray inventory levels in hospitals from an integral perspective.

Hayo Bos, Gaspard Hosteins, Wick Wijnholds, Aleida Braaksma, Gréanne Leeftink

Abstract read
In one paragraph

Article in Health care management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hayo BosDiakonessenhuis Utrecht, P.O. Box 80250, Utrecht, 3508 TG, The Netherlands. hayobos@gmail.com.ORCID http://orcid.org/0009-0005-1841-1611
Gaspard HosteinsManagement Science, Technical University of Denmark, Akademivej 358, Kongens Lyngby, 2800, Denmark.
Wick WijnholdsStochastic Operations Research, University of Twente, P.O. Box 217, Enschede, 7500 AE, The Netherlands.
Aleida BraaksmaCenter for Healthcare Operations Improvement and Research, University of Twente, P.O. Box 217, Enschede, 7500 AE, The Netherlands.
Gréanne LeeftinkCenter for Healthcare Operations Improvement and Research, University of Twente, P.O. Box 217, Enschede, 7500 AE, The Netherlands. a.g.leeftink@utwente.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical instrument trays are crucial for any hospital’s surgical department; patients cannot undergo surgery if the right instruments are not available. It is therefore of great significance to provide a steady and sufficient supply of sterile medical devices to the surgery department, which can be guaranteed by having sufficient inventory of sterile trays. However, the value of surgical tray inventory is substantial, and given the pressure on the health care industry to reduce cost, a properly aligned tray inventory is of utmost importance. Choosing the appropriate tray inventory levels is hard due to the complex interplay between the surgical schedule and the sterilisation cycle. In this paper, we propose a practice-driven heuristic and a Discrete Event Simulation (DES) model to choose and evaluate the appropriate tray levels respectively. We propose a novel surgery schedule generation algorithm to account for the dependency in tray demand, which has not been addressed in literature thus far. Using a case study from our partnering hospital, we show that without compromising quality, the tray inventory can safely be reduced by 28%.

Indexed as

Operating RoomsSterilizationSurgical InstrumentsAlgorithmsEfficiency, OrganizationalHumansHealthcare managementHospital sterilisationIntegral planningRMD cycleSimulationTray inventory management

Identifiers

PMID41712105
PMCPMC12920321

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.