Multi-criteria inventory classification considering demand stability.

Changwen Wang, Guolong Ning

Abstract read

In one paragraph

Article in Scientific reports, 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

2 authors.

Changwen WangState Key Laboratory of Advanced Design and Manufacturing for Vehicle, Hunan University, No. 2 South Lushan Road, Yuelu District, Changsha, 410082, Hunan, China. wangchangwen007@126.com.

Guolong NingState Key Laboratory of Advanced Design and Manufacturing for Vehicle, Hunan University, No. 2 South Lushan Road, Yuelu District, Changsha, 410082, Hunan, China.

Funding

National Natural Science Foundation of China 52475517State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, China 72375003The National Key R&D Program of China 2020YFB1712100

6 · The paper itself

Abstract

This paper focuses on the demand stability criterion for inventory classification. Unstable demand may lead to inventory obsolescence or emergency purchasing. A case study of multi-criteria inventory classification (MCIC) for a tunnel boring machine manufacturer is conducted. An MCIC method based on a classical MCIC model is proposed. The proposed method first evaluates demand criticality using the mean, standard deviation and range of demand. And then, the proposed method calculates the final criticality scores for Stock Keeping Units (SKUs) based on demand criticality and other criteria, e.g., unit price or lead-time. Finally, SKUs are ranked in descending order and classified by the ABC principle. The classification results can draw the attention of inventory managers to the unstable SKUs. The inventory performance analysis shows that inventory classification considering demand stability can achieve higher fill rates at lower cost.

Indexed as

ABCDemand stabilityInventory classificationInventory criticalityMulti-criteria

Identifiers

PMID41912548

DOI10.1038/s41598-026-42590-0

PMCPMC13039376

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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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.