ArticlePloS one2026
Programming Mat-Poka-yoke system control effect of unsteady convection-diffusion behavior for plastic manufacturing mathematically.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The blowing and drying stages in the plastic manufacturing process generate many defects due to a lack of accuracy in estimating thermal convection and its diffusion control. Therefore, dual digital poka-yoke simulator phases have been built to describe the unsteady state of convection-diffusion mathematically (i.e., parabolic behavior), and converted to ordinary type using a discrete singular convolution transformer. The numerical solution improves the mechanism of JRNS (Jidoka recruit's network system) to be easily programmed to be highly controlled. The mathematical poka-yoke simulator formulation relies on Runge-Kutta 4th order and five-stage fourth-order robust stability protective Runge-Kutta (SSP-RK54) schemes as discussed in 1st phase and called Mat-Poka-Yoke system (Mat-PYS) alternating between three stages. The accuracy of the Mat-PYS has been tested via measuring the rate of convergence, the absolute error, the L2 error, and the L∞ error, with errors up to [Formula: see text]. The obtained outcomes are described both in tabular and graphical form, which almost includes the validity of these mechanisms to hold on to the precision, efficiency, simplicity, and applicability for solving convection-diffusion equations. The applicability emphasized via parametric analysis to debate the effect of convective velocities, diffusion coefficients, and time at different locations on results to resist the defect causes generation as demonstrated in 2nd phase. The OEE for plastic injection machine process has been improved from 76.6% to 88.9% when controlled by proposed mechanism, and products quality improved to 5.2 sigma level.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.