Optimalisasi Mesin Automation Wonder Uhlman EB350 untuk Mengurangi Waktu Adjustment Loss di PT HXJ
Keywords:
Adjustment Loss, Modifikasi, Komponen Mekanis, Downtime, Wonder Uhlmann EB350Abstract
untuk menjaga daya saing. PT HXJ sebagai perusahaan farmasi memanfaatkan mesin automation dalam proses secondary packaging, khususnya mesin Wonder Uhlmann EB350 dengan subsistem automation. Namun, dalam operasionalnya ditemukan peningkatan adjustment loss sebesar 3.960 menit dalam kurun waktu tiga bulan terakhir, yang berdampak pada meningkatnya downtime, defect produk, serta penurunan output produksi. Penelitian ini bertujuan untuk mengidentifikasi akar penyebab permasalahan pada sistem automation dan merancang solusi optimal melalui metode diagram Fishbone, 5W+1H, serta pendekatan 4M+1E. Tahapan optimalisasi mencakup redesain komponen seperti pusher, puller, splitter, rotator, dan penopang motor servo, serta implementasi material food grade yang tahan korosi dan mudah dibersihkan. Melalui proses trial and error dan pengujian secara bertahap, dilakukan evaluasi terhadap hasil perbaikan untuk memastikan kompatibilitas terhadap berbagai jenis produk. Hasil akhir menunjukkan bahwa optimalisasi mampu menurunkan waktu adjustment loss dan meningkatkan efisiensi sistem tanpa perlu mengganti mesin secara keseluruhan. Penelitian ini memberikan kontribusi nyata dalam perbaikan berkelanjutan di lingkungan industri manufaktur farmasi.
Abstract: In the manufacturing industry, improving the efficiency and effectiveness of production processes is crucial to maintaining competitiveness. PT HXJ, as a pharmaceutical company, utilizes automation machines in the secondary packaging process, particularly the Wonder Uhlmann EB350 machine with an automation sub-system. However, in its operations, an increase in adjustment loss of 3,960 minutes has been observed over the past three months, impacting increased downtime, product defects, and a decrease in production output. This research aims to identify the root causes of problems in the automation system and design optimal solutions using the Fishbone diagram method, 5W+1H, and the 4M+1E approach. The optimization stages include redesigning components such as pushers, pullers, splitters, rotators, and servo motor supports, as well as implementing corrosion-resistant, easy-to-clean food-grade materials. Through a process of trial and error and gradual testing, evaluations were conducted on the improvements to ensure compatibility with various types of products. The final results showed that optimization was able to reduce adjustment loss time and increase system efficiency without the need to replace the entire machine. This research provides a tangible contribution to continuous improvement in the pharmaceutical manufacturing industry.
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