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Journal : International Journal of Global Operations Research

Inventory Control of Vaccine Products in Pharmaceutical Company Using The Economic Order Quantity Model and Monte Carlo Simulation Rahmadini, Nurhaliza; Supian, Sudradjat; Napitupulu, Herlina
International Journal of Global Operations Research Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i4.257

Abstract

Health is a basic need in human life. People spend a lot of money to maintain their health. One of the preventive health service options is to vaccinate. Indonesia is a country that can produce its own vaccines with its local pharmaceutical companies. The company faces stiff competition in today's rapidly growing market. Therefore, evaluation and assessment are needed to measure the progress of the company's development. One useful assessment is a company's financial review. Inventory control ensures that the planned approach can minimize costs without disrupting the production process. This research simulates data of demand and analyzes the inventory control based on simulated data. The object used in this research is the inventory of products of pharmaceutical companies. The data used is secondary data such as data of product quantity sold per period, purchasing cost, order cost, holding cost, shortage cost, and lead time. The method used for inventory control is Economic Order Quantity (EOQ) model and Monte Carlo simulation. The simulation results on the monthly demand for vaccine products show that the total demand for one year is 3.394.805 vials for Vaccine A, 1.320.900 vials for Vaccine B and 107.345 for Vaccine C. Based on simulated data processing, calculations using the probabilistic EOQ model result in total inventory costs of Rp.456.918.008.386,14 for Vaccine A, Rp 218.292.795.949,34 for Vaccine B, and Rp. 9.177.930.319,05 for Vaccine C.
Application of Black Scholes Method to Determining Premium Insurance In the Potato Agricultural Based on Price Index Sutisna, Sarah; Sukono, Sukono; Napitupulu, Herlina
International Journal of Global Operations Research Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i4.258

Abstract

Potato is one of the leading horticultural commodities. Potato farming business often experiences price fluctuations that cause losses to farmers.The government is making efforts to minimize the farmers' losses by issuing agricultural insurance programs. This study aims to determine the relationship between potato prices at the provincial level and potato prices at the farmer level and to determine agricultural insurance premiums based on the price index. The data used are potato price data at the West Java Province level and potato price data at the farmer level in Pangalengan District. The correlation between provincial level prices and farmer level prices can be obtained using the Pearson Product Moment correlation method. The price index is calculated using the relative price index method. Determination of the premium to be paid by farmers using the Black-Scholes method. The results of the analysis show that potato prices at the West Java Province level have a very strong correlation with farmer prices in Pangalengan District in October. Based on the Black-Scholes method, the premium value depends on the trigger value obtained with a price range between IDR 9,806,100.00 to IDR 10,267,784.00 for a sum insured of IDR 39,403,000 per one contract period. Various premium values can be a consideration for farmers in choosing an agricultural insurance policy.
Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung) Suripto, Adi; Nahar, Julita; Napitupulu, Herlina
International Journal of Global Operations Research Vol. 4 No. 4 (2023): International Journal of Global Operations Research (IJGOR), Nopember 2023
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v4i4.255

Abstract

Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Decomposition forecasting method is used in order to find out the forecast sales data pattern in the future. Uncertain demand causes the inventory system to be probabilistic, so it is necessary to carry out probabilistic inventory control. The P model of the case of back orders was chosen because the range of ordering periods is fixed and the company can buy inventory when it runs out before the time the inventory order is made so that buyers can wait until the inventory arrives. By using Model P for the case of back orders, the company can obtain the period between orders, the total cost of inventory, and the optimal level of service. Based on the results of this study, a pattern of sales forecast data is obtained which repeats every 12 months. Companies must order glasses within a period of 32 days between orders so that it is optimal and able to provide a reduction in the total inventory cost of IDR 21,828,771 with a service level of 95%. Companies can save on inventory costs if they use shorter periods between orders. The total cost of inventory can be more optimal if the company reduces the cost of storing inventory in the warehouse.