Jurnal Polimesin
Vol 23, No 1 (2025): February

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

Putra, William Maha (Unknown)
Martowibowo, Sigit Yoewono (Unknown)
Tabah, Gagan Ganjar (Unknown)



Article Info

Publish Date
28 Feb 2025

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.

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Journal Info

Abbrev

polimesin

Publisher

Subject

Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

Description

Mechanical Engineering - Energy Conversion Engineering - Material Engineering - Manufacturing Technology - Mechatronics - Machine and Mechanism Design - ...