Taguchi-based optimization of sheeting machine parameters for improved production speed

Sheeting machines play a crucial role in the packaging industry, making parameter optimization essential for enhancing efficiency. This study applies the Taguchi method to optimize key operational factors: roller speed, brake frequency, and pressure. Using ANOM and ANOVA, roller speed was identified as the most influential factor, contributing 82.76% in ANOM and 87.29% in ANOVA, followed by brake frequency (7.08% in ANOM, 7.36% in ANOVA). The F-test (95% confidence interval) confirmed that pressure had an insignificant effect, leading to its exclusion via a pooling-up strategy. Error contributions remained below 15%, ensuring that no critical factors were overlooked. Among interactions, only the roller speed–pressure (A × B) interaction significantly impacted production speed. The optimized parameters increased throughput from 33 to 42 sheets/min (27.3% improvement) and enhanced production robustness (S/N ratio) from 30 to 32.49 (8.3% increase). These findings confirm the effectiveness of the Taguchi method in refining sheeting machine performance.

Authors

Institutions

Publication Details

Journal
Jurnal POLIMESIN
Published
2025-02-28
DOI
https://doi.org/10.30811/jpl.v23i1.5612
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Taguchi-based optimization of sheeting machine parameters for improved production speed

Sigit Yoewono Martowibowo, Gagan Ganjar Tabah, William Maha Putra
Jurnal POLIMESIN
Manufacturing Process and Optimization
article

Taguchi-based optimization of sheeting machine parameters for improved production speed

Sigit Yoewono Martowibowo, Gagan Ganjar Tabah, William Maha Putra
article en

Abstract

Sheeting machines play a crucial role in the packaging industry, making parameter optimization essential for enhancing efficiency. This study applies the Taguchi method to optimize key operational factors: roller speed, brake frequency, and pressure. Using ANOM and ANOVA, roller speed was identified as the most influential factor, contributing 82.76% in ANOM and 87.29% in ANOVA, followed by brake frequency (7.08% in ANOM, 7.36% in ANOVA). The F-test (95% confidence interval) confirmed that pressure had an insignificant effect, leading to its exclusion via a pooling-up strategy. Error contributions remained below 15%, ensuring that no critical factors were overlooked. Among interactions, only the roller speed–pressure (A × B) interaction significantly impacted production speed. The optimized parameters increased throughput from 33 to 42 sheets/min (27.3% improvement) and enhanced production robustness (S/N ratio) from 30 to 32.49 (8.3% increase). These findings confirm the effectiveness of the Taguchi method in refining sheeting machine performance.

Jurnal POLIMESINVol. 23(1)
American Society For Testing and Materials (US), Universitas Jenderal Achmad Yani (ID)
Institut Teknologi Bandung
Openalex Percentile: Top 95%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Taguchi-based optimization of sheeting machine parameters for improved production speed — Sigit Yoewono Martowibowo, Gagan Ganjar Tabah, et al. · Jurnal POLIMESIN (2025) | TGRS Research Map | TGRS