Enhancing manufacturing efficiency through a hybrid Six sigma approach: A case study in automobile mechanical manufacturing

Well-optimized operating conditions of the production process directly impact improving product quality. Electric cylinder equipment operates with high accuracy when supplied with a quality power source with a THD value of less than 5%. This research paper proposes a hybrid Six Sigma based on the fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, the Taguchi method, and direct measurement of power quality. Firstly, the fuzzy TOPSIS method is used in the define phase of Six Sigma to analyze and make decisions to select the core problem point that causes product quality errors. Second, the Taguchi method is applied to the improvement phase to optimize machining conditions and establish and directly measure power quality using the Shunt Adaptive Power Filter (SAPF) device. The research results are that the roughness defect rate has decreased from 100% to zero defects, the lapping process is disposed of, increase in the multivariable process capacity from MCpk0.06 to MCpk2.45, and the profit following continuous improvement is $5580 per year. The THD value of the power source is always measured and controlled to a value below 5%. This Six Sigma hybrid applied research model is considered simple and can be used by many different production and business companies to improve production and business results.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-11-27
DOI
https://doi.org/10.1177/09544062251378846
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing manufacturing efficiency through a hybrid Six sigma approach: A case study in automobile mechanical manufacturing

Minh Ly Duc, Nguyen Quang Sang, Do Ngoc Hien
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Advanced Machining and Optimization Techniques
article

Enhancing manufacturing efficiency through a hybrid Six sigma approach: A case study in automobile mechanical manufacturing

Minh Ly Duc, Nguyen Quang Sang, Do Ngoc Hien
article en

Abstract

Well-optimized operating conditions of the production process directly impact improving product quality. Electric cylinder equipment operates with high accuracy when supplied with a quality power source with a THD value of less than 5%. This research paper proposes a hybrid Six Sigma based on the fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, the Taguchi method, and direct measurement of power quality. Firstly, the fuzzy TOPSIS method is used in the define phase of Six Sigma to analyze and make decisions to select the core problem point that causes product quality errors. Second, the Taguchi method is applied to the improvement phase to optimize machining conditions and establish and directly measure power quality using the Shunt Adaptive Power Filter (SAPF) device. The research results are that the roughness defect rate has decreased from 100% to zero defects, the lapping process is disposed of, increase in the multivariable process capacity from MCpk0.06 to MCpk2.45, and the profit following continuous improvement is $5580 per year. The THD value of the power source is always measured and controlled to a value below 5%. This Six Sigma hybrid applied research model is considered simple and can be used by many different production and business companies to improve production and business results.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 240(3)
Vietnam National University Ho Chi Minh City (VN), Ho Chi Minh City University of Education (VN), Van Lang University (VN), Ho Chi Minh City University of Technology (VN)
Openalex Percentile: Top 63%
Advanced Machining and Optimization Techniques
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 manufacturing efficiency through a hybrid Six sigma approach: A case study in automobile mechanical manufacturing — Minh Ly Duc, Nguyen Quang Sang, et al. · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2025) | TGRS Research Map | TGRS