Quality System Improvement Using Sustainable Lean Manufacturing and Six Sigma in the Heavy Components Industry
Published at : 01 Dec 2025
Volume : IJtech
Vol 16, No 6 (2025)
DOI : https://doi.org/10.14716/ijtech.v16i6.7758
| Rina Fitriana | Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti, Jakarta, 11440, Indonesia |
| Iveline Anne Marie | Doctoral Industrial Engineering Study Program, Faculty of Industrial Technology, Universitas Trisakti, Jakarta, 11440, Indonesia |
| Debbie Kemala Sari | Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti, Jakarta, 11440, Indonesia |
| Teuku Yuri M. Zagloel | Department of Industrial Engineering, Universitas Indonesia, Kampus Baru UI, Depok 16424, Indonesia |
| Nadiah Ahmad | Fakulti Teknologi dan Kejuruteraan Industri dan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia |
| Nur Febrianti Sasmita | Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti, Jakarta, 11440, Indonesia |
| Segara Dewansyah | Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Trisakti, Jakarta, 11440, Indonesia |
This study applied quality system improvement using sustainable lean manufacturing and the six-sigma approach in the heavy component industry using the plan–do–check–action (PDCA) cycle. This study aimed to constitute the application quality system improvement as the integration of statistical process control, lean manufacturing, Six Sigma, sustainable awareness, and Quality 4.0 in the heavy component manufacturing industry. Improvement strategies were implemented using tools such as Sustainable Value Stream Mapping (SVSM), manufacturing, Process Activity Mapping (PAM), and decision tree CART classification analysis. Key improvements included the implementation of jig redesign, use of QR code scanners, making a finishing table in the production process, regular cleaning of welding tools, and visualization of data with the Power Business Intelligence dashboard. Post-intervention analysis demonstrated an improved sigma level of 3,748 from 3,361. PCE increased from 82.71% to 83.72%. The results of the indicator values. The average sustainability category is in the yellow traffic light condition, namely 61%–90%, which means that this indicator can still be improved to achieve the company’s targets. After implementing this concept, the company can produce more efficient processes. The proposed quality system improvement model significantly enhances process quality and operational sustainability in the heavy component industry.
Lean manufacturing; Quality 4.0; Quality system; Six Sigma; Sustainable
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