ANALISIS PERBAIKAN TAKE UP MOTION PROCESS PADA MESIN TENUN AIR JET LOOM DENGAN METODE FMEA

Take up motion is a crucial problem in the loom section because one of the core motions of the machine process. There were 67 process failures on the take up motion for three months. The study aims to decrease process failure on the take up motion which impacts on production loss, i.e down time and defects by applying FMEA. After analyzing the flow process, 11 potential causes were found from 3 potential failure modes in the areas. The first priority with RPN value of 108 is the quality of the roll teeth gear is not up to standard. Improvement recommendation is replacing the lower roll gear from plastic material to steel to increase component lifetime and performance. The Second priority with RPN value of 105 is the operator accuracy in installing the fabric roll at the beginning of the process. Improvement recommendation is implementing double checking procedures with inspection by supervisor. The Second priority with RPN value of 105 is the operator accuracy in installing the fabric roll at the beginning of the process. Improvement recommendation is implementing double checking procedures with inspection by supervisor. The third priority with RPN value of 96 is improper lubrication. Improvement recommendation is replacing the oil lubricant with grease which is appropriate for the engine speed. This research can recommend an improvement on take up motion based on the proposed repairs or maintenance list, using the FMEA method to decrease the process failure loom machine in the weaving industry.

Authors

Publication Details

Journal
Prosiding SNAST
Published
2024-11-23
DOI
https://doi.org/10.34151/prosidingsnast.v1i1.4967
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALISIS PERBAIKAN TAKE UP MOTION PROCESS PADA MESIN TENUN AIR JET LOOM DENGAN METODE FMEA

Hendri Pujianto, Mohadi Mohadi, Galuh Yuli Astrini, Ester Pinastiko Talenta Putri
Prosiding SNAST
Robotic Mechanisms and Dynamics
article

ANALISIS PERBAIKAN TAKE UP MOTION PROCESS PADA MESIN TENUN AIR JET LOOM DENGAN METODE FMEA

Hendri Pujianto, Mohadi Mohadi, Galuh Yuli Astrini, Ester Pinastiko Talenta Putri
article en

Abstract

Take up motion is a crucial problem in the loom section because one of the core motions of the machine process. There were 67 process failures on the take up motion for three months. The study aims to decrease process failure on the take up motion which impacts on production loss, i.e down time and defects by applying FMEA. After analyzing the flow process, 11 potential causes were found from 3 potential failure modes in the areas. The first priority with RPN value of 108 is the quality of the roll teeth gear is not up to standard. Improvement recommendation is replacing the lower roll gear from plastic material to steel to increase component lifetime and performance. The Second priority with RPN value of 105 is the operator accuracy in installing the fabric roll at the beginning of the process. Improvement recommendation is implementing double checking procedures with inspection by supervisor. The Second priority with RPN value of 105 is the operator accuracy in installing the fabric roll at the beginning of the process. Improvement recommendation is implementing double checking procedures with inspection by supervisor. The third priority with RPN value of 96 is improper lubrication. Improvement recommendation is replacing the oil lubricant with grease which is appropriate for the engine speed. This research can recommend an improvement on take up motion based on the proposed repairs or maintenance list, using the FMEA method to decrease the process failure loom machine in the weaving industry.

Prosiding SNAST
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Robotic Mechanisms and Dynamics
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.