Evidence map›Paper›PMID 41544093›Full record

ArticlePloS one2026

A practical optimization method for enhancing drilling efficiency in panel furniture manufacture.

Guokun Wang, Xianqing Xiong, Sijie Fu, Mei Zhang, Lujie Yang

Abstract read
In one paragraph

Article in PloS one, 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.

Guokun WangCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, China.ORCID https://orcid.org/0000-0003-3241-5967
Xianqing XiongCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, China.
Sijie FuCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, China.
Mei ZhangCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, China.
Lujie YangCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drilling is one of the most complex processes in the manufacturing of panel-type furniture and has a significant impact on both production efficiency and takt-time stability. With the growing demand for large-scale customized furniture, the complexity of drilling operations has increased substantially. Moreover, variations in equipment capabilities further hinder the automation and standardization of this process. In this technical note, we ad-dress three common challenges in the drilling process of panel furniture: the inability to process horizontal holes located on fixed reference edges, low slotting efficiency, and pro-longed idle time of drilling equipment. To resolve these issues, we propose a set of strategies based on flipping, slot extension, and hole-slot logic transformation. The proposed methods have been successfully implemented in a large-scale customized panel furniture production line. Practical results demonstrate their effectiveness in improving drilling efficiency. Specifically, for panel components previously limited by low slotting efficiency, the optimization was applicable to 42.30% of the parts. Additionally, for panels that previously suffered from long idle periods during processing, the drilling efficiency increased by 56.01%. These findings confirm the practical value and applicability of the proposed approach in industrial settings, particularly in enhancing operational consistency and promoting automation in mass-customized furniture manufacturing.

Indexed as

Interior Design and FurnishingsEquipment Design

Identifiers

PMID41544093
PMCPMC12810776

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.