Kartikasari, Maya Andini
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Material Planning and Inventory Control in the Nutrition Service Unit at Ummi Hospital Bogor Kartikasari, Maya Andini
Jurnal Logistik Indonesia Vol 8, No 1: April 2024
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v8i1.3857

Abstract

Inventory management is a critical component of supply chain management that involves the planning, controlling, and overseeing of inventory levels to ensure the availability of materials while minimising costs. Proper inventory management ensures that essential food supplies are always available, allowing the hospital to provide consistent and varied meal options tailored to patient needs. Effective inventory management also ensures that there are no disruptions in meal service due to stockouts and avoids the capital and storage issues related to overstocking. This study aims to provide solutions to hospitals in terms of planning and controlling materials for the 2024 budget year so that hospitals can improve in terms of inventory management. The economic order quantity model is used to determine the optimal number of orders to be made to maintain inventory at a certain level while optimising inventory costs. The result showed that the optimal order quantity for chicken meat is 41 kg, beef is 21 kg, and rice is 112 kg, and the inventory cost incurred due to the stock is Rp. 170,000, Rp. 268,000, and Rp. 191,400, respectively.
Analysis of Spare Parts Inventory Control Using Economic Order Quantity (EOQ) Method at PT Astra International Tbk. Toyota Sales Operation AUTO2000 Bogor Siliwangi Noorzaman, Sandi; Kartikasari, Maya Andini; Abdi, Muhammad Danawan Esa
Jurnal Logistik Indonesia Vol 7, No 1: April 2023
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v7i1.3347

Abstract

Along with the development of the current technological era is developing very quickly, one of which is land transportation, especially four-wheeled vehicles. From year to year vehicle technology is increasingly advanced so that it attracts people to have use for transportation or goods transportation purposes. However, along with its use, the vehicle needs regular maintenance so that it is always in prime condition and safe when driving. Therefore, companies engaged in vehicle maintenance and repair services need to prepare for the availability of spareparts to meet the needs of their customers. The type of research used is descriptive research. The data used in this study consists of primary data and secondary data that are qualitative in nature related to spareparts inventory. By using the EOQ method the company can save the total cost of inventory for tmo syn 10w-40sn 1lt around 85% or Rp. 2,652,961, tmo syn 10w-40sn 4lt about 89% or Rp. 2,774,200, element sa oil filter around 95% or Rp. 2,904,527, pad kit disc brake fr around 90% or Rp. 1,631,944 and 34b19r hybrid battery around 88% or Rp. 1,202,923.
Raw Material Supply Control Analysis with Ordinary Least Square Method and Economic Order Quantity (Eoq) at Tandi's Bakery Fatah, Abdul; Noorzaman, Sandi; Kartikasari, Maya Andini
Jurnal Logistik Indonesia Vol 6, No 2: Oktober 2022
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v6i2.2690

Abstract

MSMEsTandi's Bakery produces never stop every day. Therefore, inventory control has a very important position. At Tandi's bakery there are often stock outs and the determination of the Reorder Point is erratic. This study aims to determine the number of orders in the next 1 year using Ordinary Least Square (OLS) and to determine the optimal number of orders that must be issued by business actors, to find out when reorders must be made (ROP), and the application of the EOQ and OLS methods in Tandi's Bakery to optimize inventory costs. This type of research is descriptive in terms of data used primary and secondary data in the form of analysis related to the supply of raw materials for bread. The results showed that the sales of bread in the next 1 year amounted to87,868 pcs of bread according to the OLS method. The optimal purchase amount for Tandi's Bakery raw materials uses the EOQ method in the 2021/2022 period, namely 256 kg of flour, 55 kg of butter and 113 liters of liquid milk while in the previous period 291 kg of flour, 48 kg of butter and 69 liters of liquid milk. The frequency of orders using the EOQ method in the 2021/2022 period, namely 8 times flour, 4 times butter and 6 times liquid milk, while the order frequency for the previous period was 9 times flour, 4 times butter and 4 times liquid milk. The total inventory cost (TIC) using the EOQ method for the 2021/2022 period is as follows: Flour Rp. 255,148, Butter Rp. 135,417 and liquid milk of Rp. 174,006 while the previous period, namely flour, amounted to Rp. 891,032, Butter Rp. 870,670, liquid milk of Rp. 869,954. The exact time to reorder the reorder point (ROP) according to the EOQ method in the 2021/2022 period is 74,909 kg of flour, 8,438 kg of butter and 22,476 liters of liquid milk. In the previous period flour 97.129 kg, butter 6.387 kg and liquid milk 8.998 liters.
Design of Medicine Inventory System Kartikasari, Maya Andini
Jurnal Logistik Indonesia Vol. 8 No. 2: Oktober 2024
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v8i2.4538

Abstract

The efficient management of medicine inventory is crucial for the smooth operation of pharmacies, ensuring the availability of essential medications while minimizing excess stock and wastage. This research presents the design of a Medicine Inventory System which is recommended to be implemented at Yasmin Raya Pharmacy, aimed at optimizing inventory tracking, stock replenishment, and overall operational efficiency. The proposed system integrates real-time inventory monitoring, automated stock updates, and alerts for medication expiry, addressing common challenges faced by the pharmacy in managing its stock manually. The methodology used is the use case diagram, sequence diagram and prototype model.