Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory

This study aims to enhance efficiency in the Lean Manufacturing practicum at the Lean Manufacturing Laboratory of Universitas Mercu Buana by applying PDCA (Plan-Do-Check-Act) and TRIZ (Theory of Inventive Problem Solving) methods. The primary focus was the design and implementation of a flexible jig tool to reduce processing time and increase precision in the vacuum, trimming, and assembly stages designing and implementing. Results showed that the flexible jig reduced process time by 37.8%, from 1431 seconds to 890 seconds, and improved the level of automation from fully manual to the use of flexible tools. Further evaluation revealed significant gains in productivity. The study utilized tools such as Value Stream Mapping (VSM), Operation Process Chart (OPC), and the seven waste concepts within the PDCA framework to identify key issues in the manufacturing process. The application of TRIZ principles in tool design also significantly enhanced production efficiency. This research presents compelling evidence that systematic approach like PDCA and creative methodologies for instance TRIZ can substantially improve operational performance in light manufacturing practicums. Additionally, it highlights the important role of higher education in fostering technological innovation and industry collaboration to tackle evolving manufacturing challenges.

Authors

Institutions

Publication Details

Journal
Operations Excellence Journal of Applied Industrial Engineering
Published
2024-12-01
DOI
https://doi.org/10.22441/oe.2024.v16.i3.118
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory

Uly Amrina, Zulfa Fitri Ikatrinasari, Irkham Syifaul Qulub, Hendi Herlambang
Operations Excellence Journal of Applied Industrial Engineering
Manufacturing Process and Optimization
article

Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory

Uly Amrina, Zulfa Fitri Ikatrinasari, Irkham Syifaul Qulub, Hendi Herlambang
article en

Abstract

This study aims to enhance efficiency in the Lean Manufacturing practicum at the Lean Manufacturing Laboratory of Universitas Mercu Buana by applying PDCA (Plan-Do-Check-Act) and TRIZ (Theory of Inventive Problem Solving) methods. The primary focus was the design and implementation of a flexible jig tool to reduce processing time and increase precision in the vacuum, trimming, and assembly stages designing and implementing. Results showed that the flexible jig reduced process time by 37.8%, from 1431 seconds to 890 seconds, and improved the level of automation from fully manual to the use of flexible tools. Further evaluation revealed significant gains in productivity. The study utilized tools such as Value Stream Mapping (VSM), Operation Process Chart (OPC), and the seven waste concepts within the PDCA framework to identify key issues in the manufacturing process. The application of TRIZ principles in tool design also significantly enhanced production efficiency. This research presents compelling evidence that systematic approach like PDCA and creative methodologies for instance TRIZ can substantially improve operational performance in light manufacturing practicums. Additionally, it highlights the important role of higher education in fostering technological innovation and industry collaboration to tackle evolving manufacturing challenges.

Operations Excellence Journal of Applied Industrial EngineeringVol. 16(3)
Mercu Buana University (ID), Universitas Nusa Bangsa (ID)
Openalex Percentile: Top 62%
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.

Enhancing process optimization through adaptive jig design in lean manufacturing: insights from Universitas Mercu Buana's laboratory — Uly Amrina, Zulfa Fitri Ikatrinasari, et al. · Operations Excellence Journal of Applied Industrial Engineering (2024) | TGRS Research Map | TGRS