DOAJ Open Access 2025

Optimization of Mold Changeover Times in the Automotive Injection Industry Using Lean Manufacturing Tools and Fuzzy Logic to Enhance Production Line Balancing

Yasmine El Belghiti Abdelfattah Mouloud Samir Tetouani Mehdi El Bouchti Omar Cherkaoui +1 lainnya

Abstrak

The main thrust of the study is the need to cut down the time taken for mold changes in plastic injection molding which is fundamental to the productivity and efficiency of the process. The research encompasses Lean Manufacturing, DMAIC, and SMED which are improved using fuzzy logic and AI for rapid changeover optimization on the NEGRI BOSSI 650 machine. A decrease in downtime by 65% and an improvement in the Process Cycle Efficiency by 46.8% followed the identification of bottlenecks, externalizing tasks, and streamlining workflows. AI-driven analysis could make on-the-fly adjustments, which would ensure that resources are better allocated, and thus sustainable performance is maintained. The findings highlight how integrating Lean methods with advanced technologies enhances operational agility and competitiveness, offering a scalable model for continuous improvement in industrial settings.

Topik & Kata Kunci

Engineering machinery, tools, and implements

Penulis (6)

Yasmine El Belghiti

Abdelfattah Mouloud

Samir Tetouani

Mehdi El Bouchti

Omar Cherkaoui

Aziz Soulhi

Format Sitasi

APA MLA BibTeX

Belghiti, Y.E., Mouloud, A., Tetouani, S., Bouchti, M.E., Cherkaoui, O., Soulhi, A. (2025). Optimization of Mold Changeover Times in the Automotive Injection Industry Using Lean Manufacturing Tools and Fuzzy Logic to Enhance Production Line Balancing. https://doi.org/10.3390/engproc2025097054

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Informasi Jurnal

Tahun Terbit: 2025
Sumber Database: DOAJ
DOI: 10.3390/engproc2025097054
Akses: Open Access ✓