Evidence map›Paper›PMID 37484398›Full record

ArticleHeliyon2023

Optimisation of the machining time required by insole orthotic shoes for patients with clubfoot using the Taguchi and response surface methodology approach.

P W Anggoro, B Bawono, D B Setyohadi, L Ratnasari, P K Fergiawan, M Tauviqirrahman, J Jamari, A P Bayuseno

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
0.8field-weighted citation impact, top 33% of its field
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, 7 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

P W AnggoroDepartment of Industrial Engineering, University of Atma Jaya Yogyakarta, Jl. Babarsari 44, Yogyakarta, 55281, Indonesia.
B BawonoDepartment of Industrial Engineering, University of Atma Jaya Yogyakarta, Jl. Babarsari 44, Yogyakarta, 55281, Indonesia.
D B SetyohadiDepartment Informatics, University of Atma Jaya Yogyakarta, Jl Babarsari 44, Yogyakarta, 55281, Indonesia.
L RatnasariDepartment of Science and Mathematics, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang, 50275, Indonesia.
P K FergiawanDepartment of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang, 50275, Indonesia.
M TauviqirrahmanDepartment of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang, 50275, Indonesia.
J JamariDepartment of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang, 50275, Indonesia.
A P BayusenoDepartment of Mechanical Engineering, University of Diponegoro, Jl. Prof. Soedarto, SH., Tembalang, Semarang, 50275, Indonesia.
Diponegoro University · IDAtma Jaya University Yogyakarta · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the application of the computer-aided reverse engineering system (CARE) to the novel design and manufacture of a comfortable insole for a clubfoot patient is presented. The Taguchi method (TM) and response surface methodology (RMS) were used to predict the machining time of the orthotic boot insole during both computer-aided manufacturing (CAM) simulation and computer numerical control (CNC) machining. Taguchi's experimental design, presented as a matrix orthogonal array L

Indexed as

CARE systemDesirability function (DF)InsoleMachining time (tm)Response surface methodology (RSM)Taguchi method (TM)

Identifiers

PMID37484398
PMCPMC10360966
OpenAlexW4379051595

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.