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Journal : Jurnal Optimalisasi

Metode Material Requirement Planning (MRP) untuk Perencanaan Kebutuhan Bahan Baku pada Produksi Songkok Nasional di UD. Iqbal VIP Rufaidah, Anik; Lestari, Kurnia Cahya; Wahyudin, Muhammad Arif
Jurnal Optimalisasi Vol 7, No 1 (2021): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i1.2577

Abstract

The right production design at a company will get effectiveness and more production efficiency, including the plan for material requirements or raw materials used by the company. In essence, planning to meet the needs of the material in a company is expected to produce an appropriate system to be applied, therefore making the production process smooth. Where this research aims to compile Material Requirement Planning (MRP) with lot-sizing technique, then compare the results to obtain the optimal combination of raw material procurement. The use of time series method on-demand uses past data, namely the last two years and the forecasting results use the additive decomposition method because this method gets a minimum error value. By using POM, the demand prediction for one year is 6951 scores. Meanwhile, the MPS results on the raw material for one year of songkok required 488 pcs of velvet cloth, 1391 kg of pelisir and 6951 scores of bos-bosan.  From the MRP results, the PPB technique is the most optimal for planning the raw material needs of velvet, lining and boredom by ordering the purchase of natural velvet fabric as much as six times, pelisir 1 time and bos-bosan as 6 times.
Analisis Pengendalian Kualitas Produk Songkok Menggunakan Metode Statistical Proses Control dan 5W+2H pada UD. Tiga Kunci Rufaidah, Anik; Izzah, Nailul; Suparno, Suparno; Rosyidi, Moh Ririn
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.9856

Abstract

In the period of the quality manufacturing sector, it is critical to pay attention to raw materials and product compatibility for consumers in order to preserve the quality supplied to them. Quality control is an important step in ensuring that the products produced fulfill defined specifications. Statistical Process Control (SPC) is a technique for monitoring and controlling the manufacturing process using statistical approaches. UD Tiga Kunci Songkok is a top manufacturer of high-quality songkok in Bungah Village, Gresik Regency, Indonesia. Established in 1985, our company has been dedicated to preserving the archipelago's traditions and culture by producing exquisite and comfortable songkok. Even yet, there are still flaws that arise at UD Songkok Tiga Kunci. Defects continue to develop throughout the last five months, from January to May 2024. There are 132 songkoks with faults. If this situation is not addressed, UD will suffer financial losses. Three Key Chompong aims to improve product quality and competitiveness by expanding the use of SPC in songkok production. Additionally, this 5W2H will address product defects. The research revealed that there are three sorts of faults that develop in UD  Tiga Kunci: 45.5% of disorderly amounts, 40.2% of sloppy stitching, and 14.4% of velvet fabric, with the highest number of flaws. The control chart shows values of ucl=0.093, lcl=0, and cl/p ̅=0.043, indicating no deviation from the control line (despite the presence of flaws in the defect proportion). The factors that cause the most flaws in Songkok (untidy sum) are man, material, machine, and process. Knowing this, the corrective actions made at UD. Tiga Kunci keys monitor and evaluate each songkok manufacturing process to obtain mitigation procedures for songkok products.
Pengendalian Persediaan Bahan Baku Petis Udang dengan Menggunakan Metode Economic Order Quantity (Eoq) di Ud. Agung Jaya Rufaidah, Anik; Rosyidi, Moh. Ririn; Suparno, Suparno
Jurnal Optimalisasi Vol 10, No 1 (2024): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i1.8431

Abstract

Raw material inventory is very important for companies. UD. Agung Jaya is a company that operates in the food sector, namely Petis Udang. Problems at UD. Agung Jaya has raw material stock problems, namely a shortage or excess of raw materials. The aim of this research is to help optimize UD costs of UD. Agung Jaya. This research uses raw material purchase data for shrimp heads, sugar, and flour which is processed by forecasting calculations for 12 periods or 1 year into the future using the single exponential smoothing (SES) time series forecasting method. The aim is to determine the need for raw materials so that there are no shortages or excesses of raw materials during the ongoing production process, and the efficiency of raw material needs in this research. The results of the research show that the raw material for shrimp heads has a mape error value of 24, sugar has a mape error value of 24, and flour has a mape error value of 26.1. Furthermore, the raw material decomposition method for shrimp heads has a mape error value of 15, sugar has a mape error value of 15, and flour has a mape error value of 16.42. The second result of forecasting shows that the decomposition method obtains a smaller mape value or the lowest error value. This research also uses the Economic Order Quantity (EOQ) method in the 2022-2023 period with raw material yields of 515.28 kg of shrimp heads, 488.54 kg of sugar and 188.09 kg of flour.
Optimasi Pengendalian Bahan Baku Phospat Menggunakan Metode Economic Order Quantity (EOQ) dan Periodic Order Quantity (POQ) di PT XYZ Suparno, Suparno; Izzah, Nailul; Rufaidah, Anik; Narto, Narto
Jurnal Optimalisasi Vol 12, No 1 (2026): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v12i1.14798

Abstract

This study addresses the importance of raw material inventory control in maintaining production continuity and minimizing operational costs in manufacturing companies. Ineffective inventory policies may lead to overstock or stockout conditions, both of which negatively impact efficiency and cost performance. Therefore, this research aims to determine the most optimal inventory control method for phosphate raw materials at PT. XYZ by comparing the Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ) methods. A quantitative approach was employed using demand forecasting data, ordering cost, holding cost, and lead time. The annual demand for phosphate raw materials was estimated at 3,875,850 kg. The results show that the company’s current policy generates a total inventory cost of Rp26,629,000 per year. The EOQ method produces an optimal order quantity of 3,742.56 kg per order with a total inventory cost of Rp42,750,797 per year. Meanwhile, the POQ method results in an optimal ordering interval of every four months, with an order quantity of 1,291,950 kg and a significantly lower total inventory cost of Rp9,385,000 per year. Both methods yield the same reorder point (ROP) of 42,476 kg. Based on the analysis, the POQ method is the most efficient inventory control approach due to its ability to minimize total inventory costs and better accommodate fluctuating demand patterns. However, its implementation should consider warehouse capacity and operational constraints.