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PENGENDALIAN PERSEDIAAN SUKU CADANG NUT DENGAN MENGGUNAKAN METODE KLASIFIKASI ABC DAN MODEL Q BACK ORDER DI PT FGH Tandiansyah, Tantan; Nasrullah, Rizky; Fauzi, Muchammad
Kohesi: Jurnal Sains dan Teknologi Vol. 6 No. 10 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v6i11.10446

Abstract

This study aims to analyze and optimize the management of nut spare parts inventory at PT FGH using the ABC Classification method and the Q Back order Model. ABC classification is used to group 20 types of spare parts based on the value of fund absorption and frequency of demand, so as to determine management priorities. The analysis results show that 70.66% of the funds are allocated to category A, which includes components with high consumption value and significant demand frequency. Meanwhile, the Q Back order Model is applied to calculate the optimal ordering lot size (q0), safety stock (ss), reorder point (r), and service level (η), with a high level of inventory cost efficiency. The results of applying the Q Back order Model show total cost savings for category A, with the lowest total inventory cost of Rp113,591,283 and the highest of Rp528,899,608. The combination of the ABC Classification method and the Q Back order Model provides an effective solution in managing inventory strategically, minimizing costs, reducing the risk of stock shortages, and maintaining a smooth production process. The implementation of this method can be a reference for more efficient and sustainable inventory management at PT FGH
Evaluasi Kapasitas Tanki Mixing Sebagai Constraint Utama dalam Perencanaan Produksi Infusan Setiawan Saputra, Adi; Adi Winahyu, Gilang; Nasrullah, Rizky; Ihsan, Tiaradia
Reslaj: Religion Education Social Laa Roiba Journal Vol. 8 No. 2 (2026): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v8i2.10627

Abstract

In the infusion industry, when the capacity of processes is not balanced, it often creates production bottlenecks, especially if the mixing tank's capacity does not match the daily demand. Mixing is a key step because it prepares the large volume of solution needed for the filling process. If the mixing stage has limited capacity, it can lead to lower production output, more work-in-process inventory, and delays in meeting the production schedule. This study looks at how the mixing tank's effective capacity is the main limiting factor in the infusion production system. It uses capacity planning and the Theory of Constraints (TOC) to evaluate this. The results show that the mixing tank can only handle about 2,000 liters per day, while the daily demand is 3,000 liters, creating a backlog of 1,000 liters per day and causing downstream processes to operate at less than 70% efficiency. After making changes such as reducing cleaning time, speeding up transfer times, and reorganizing batch scheduling, the mixing capacity increased to 3,000 liters per day. This removed the bottleneck without needing extra investment. These results show that using TOC-based process improvements can help boost capacity, keep production running smoothly, and reduce the risk of missing delivery deadlines in the batch-based infusion industry.