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All Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK)
Kardita Kardita
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Civil Engineering, Building, Construction & Architecture Computer Science & IT

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Peran Quality Engineering dalam Optimasi Proses Produksi : (Studi Literatur pada Industri Manufaktur Kontemporer) Siti Nur Hamidah; Moh. Ayip Fathani; Zulfadlillah Zulfadlillah; Kardita Kardita
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.4775

Abstract

This systematic literature review examines the evolving role of Quality Engineering (QE) in optimizing production processes within Industry 4.0 contexts. By analyzing 78 peer-reviewed studies (2010–2025), the research identifies critical shifts in QE methodologies, emphasizing integration with artificial intelligence (AI), machine learning (ML), and real-time digital twin technologies. Key findings reveal enhanced robustness through adaptive optimization algorithms (e.g., Bayesian optimization, NSGA-II), improved defect prediction via AI-driven quality control systems, and streamlined process interoperability through Manufacturing Execution Systems (MES) and Quality 4.0 frameworks. The study underscores digital integration as a catalyst for reducing variability, accelerating decision-making, and aligning quality management with Industry 4.0’s demands for agility and interconnected systems. Recommendations include adopting hybrid methodologies combining classical Six Sigma with ML-driven analytics and investing in workforce training for digital QMS adoption.
Co-Authors Moh. Ayip Fathani Siti Nur Hamidah Zulfadlillah Zulfadlillah