scholarly journals Evaluasi Perencanaan Persediaan Antibiotik Secara Kuantitatif Di Instalasi Farmasi Rumah Sakit Tipe A

2020 ◽  
Vol 10 (3) ◽  
pp. 176
Author(s):  
Venna Laurensia ◽  
Gusti Noorrizka Veronika Achmad ◽  
Raswita Diniya ◽  
Ivonne Soeliono
Keyword(s):  
Quantitative Evaluation ◽  
Lower Order ◽  
Economic Order Quantity ◽  
Control Methods ◽  
Order Quantity ◽  
Inventory Planning ◽  
Stock Level ◽  
Pharmacy Department ◽  
Order Quantities ◽  
Maximum Minimum

Planning an inventory of antibiotics that are not good will cause problems in planning, which are over-supply of antibiotics (stagnant) and lack of antibiotic stock (stockout). In this study an quantitative evaluation of antibiotic inventory planning was carried out using the Economic Order Quantity (EOQ) and Maximum-Minimum Stock Level (MMSL) control methods in 2017 at Type A Hospital’s Pharmacy Department. The EOQ method aims to minimize the number of orders while the MMSL method is used to determine the minimum and maximum stock of antibiotics that must be ordered. The results were compared with the need for 2018 then calculations are carried out to determine the amount of stagnant and stockout antibiotics. The number of antibiotics that were stagnant by EOQ method simulation was 44.73% and by MMSL method was 48.02%, while the number of antibiotics stocked by EOQ method was 38.15% and by MMSL method was 42.76%. The category of antibiotic supplies in 2018 in real terms which was included in a stagnant state was 23.68%, stockout ie 55.26% of 152 antibiotics. Evaluation of antibiotic inventory planning using the EOQ method results in the calculation of lower order quantities while the number of orders with MMSL is higher. To find out more broadly about the evaluation of inventory planning in the hospital needed further research by taking into account all drugs not just antibiotics.

scholarly journals Penerapan Metode DESB dan EOQ untuk Prediksi Penjualan dan Persediaan Mobil

2021 ◽  
Vol 3 (1) ◽  
pp. 29-43
Author(s):  
Sri Rahayu Tangahu ◽  
Moh. Hidayat Koniyo
Keyword(s):  
Black Box ◽  
Economic Order Quantity ◽  
Mean Absolute Deviation ◽  
Order Quantity ◽  
Inventory Planning ◽  
Absolute Deviation ◽  
Double Exponential ◽  
Car Sales ◽  
Double Exponential Smoothing ◽  
White Box Testing

PT. MG merupakan salah satu dealer yang bergerak dalam bidang penjualan mobil. Namun masih mengalami masalah dalam proses persediaannya sehingga membuat proses penjualan juga terganggu. Untuk mengatasi permasalahan yang dihadapi, PT. MG membutuhkan sebuah sistem peramalan untuk memperkirakan penjualan dan persediaan mobil. Tujuannya agar perusahaan dapat meramalkan penjualan mobil dan menentukan persediaan yang optimal pada periode yang akan datang. Sistem yang dibangun berbasis web dengan metode peramalan Double Exponential Smoothing dari Brown dengan nilai alpha α=0.5 yang mempunyai kesalahan peramalan terkecil menurut indikator MAD (Mean Absolute Deviation), sedangkan untuk optimalisasis perencanaan persediaan, digunakan metode Economic Order Quantity (EOQ) untuk perencanaan persediaan yang optimal. Adapun data yang digunakan dalam penelitian ini adalah data historis penjualan selama 2 tahun terakhir. Sistem diuji menggunakan black-box dan white-box testing. Hasil dari penelitian ini menunjukan sistem berjalan sesuai dengan yang diinginkan dan dapat mempermudah PT. MG dalam memperkirakan penjualan dan perencanaan persediaan pada periode yang akan datang. PT. MG as a car sales dealer has problems in the inventory process, that may disrupt the sales process. To solve the problems, PT. MG needs a forecasting system to estimate car sales and supplies. The goal of this system is that the company can predict car sales and determine the optimal supply for the upcoming period. The system was built as a web application, and use the Double Exponential Smoothing forecasting method from Brown with an alpha value of α=0.5 which has the smallest forecast error according to the MAD (Mean Absolute Deviation) indicator. To optimize inventory planning, we use Economic Order Quantity (EOQ) method to optimize supplies planning. The data used in this study are historical sales data for the last 2 years. The system was tested using black-box and white-box testing. The results of this study indicate that the system is fulfilling its requirements and are useful for predicting PT. MG sales and inventory planning in the coming period.

scholarly journals Kajian Metode Eoq (Economic Order Quantity) Pada Model Persediaan Deterministik Dengan Perubahan Harga Dalam Pengendalian Persediaan

2018 ◽  
Vol 1 (1) ◽  
pp. 024-031
Author(s):  
Tri Hardianti ◽  
Faigiziduhu Bu‘ulolo ◽  
Esther Nababan
Keyword(s):  
Cost Savings ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Sale Price ◽  
Inventory Costs ◽  
Total Inventory ◽  
Order Quantities ◽  
And Storage ◽  
Special Order

Persediaan merupakan salah satu unsur yang paling aktif dalam operasi perusahaan yang secara terus- menerus diperoleh, diubah yang kemudian dijual kembali. Metode Economic Order Quantity (EOQ) merupakan metode yang digunakan untuk menemukan jumlah pesanan yang ekonomis, yaitujumlah pesanan yang memenuhi total biaya persediaan minimal dengan mempertimbangkan biaya pemesanan dan penyimpanan. Persediaan deterministik merupakan metode yang digunakan untuk meminimalkan total biaya pembelian dan penyimpanan. Dalam penelitian ini metode EOQ dikaji ke dalam bentuk model persediaan deterministik dengan perubahan harga. Metode yang digunakan adalah metode EOQ. Metode EOQ kemudian digunakan pada model persediaan deterministik dengan perubahan harga.  Model tersebut diaplikasikan pada sebuah contoh kasus dengan model special sale price yang memperoleh penghematan biaya sebesar 40.000 dan special order cost saving sebesar 133.559.888,5 dengan frekuensi pemesanan 18,5 per tahun. Model tersebut dapat digunakan pada perusahaan untuk meminimalkan biaya penyimpanan dan pembelian. Pada saat-saat tertentu perusahaan memperoleh keuntungan lebih besar dengan biaya pembelian dan penyimpanan yang lebih kecil Inventory is one of the most active elements in the operations of a company that is continuously acquired, changed, and then resold. The Economic Order Quantity (EOQ) method is a method used to find economical order quantities, which is the number of orders that meet the minimum total inventory costs by considering the cost of ordering and storage. Deterministic inventory is a method used to minimize the total cost of purchase and storage. In this study, the EOQ method was examined in the form of a deterministic inventory model with price changes. The model was applied to a case sample with a special sale price model that obtained a cost savings of 40,000 and a special order saving cost of 133,559,888.5 with an order frequency of 18.5 per year. The model could be used in companies to minimize storage and purchase costs. At certain times the company achieved a bigger profit with a smaller purchase and storage cost. 

Perencanaan Persediaan Bahan Baku pada UMK Tiga Bersaudara Kota Kupang dengan Metode Economic Order Quantity (EOQ)

2021 ◽  
Vol 1 (2) ◽  
pp. 61-75
Author(s):  
Seprianto E. Haobenu ◽  
◽  
Antonio E. L. Nyoko ◽  
Aldarine Molidya ◽  
Rolland E. Fanggidae ◽  
...  
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Planning ◽  
Safety Stock ◽  
Total Cost ◽  
Analysis Technique ◽  
Corn Products

Abstract Abstract Purpose: This research is a form of raw material inventory planning using the Economic Order Quantity (EOQ) method for fried corn products at UMK Tiga Bersaudara Kupang City. Research Methodology: This research method used a quantitative approach. The data analysis technique used is forecasting, EOQ, and Safety Stock. Results: The outcome of this study is the creation of a raw material inventory that can be applied by the UMK Tiga Bersaudara in carrying out its production. The number of orders for raw materials has also been identified using the EOQ method. To avoid shortages of raw materials, a calculation of how much safety stock is needed in the next period has also been calculated. Limitation: This calculation is predictive so that the reality in the field can change in the future. Contribution: Companies are advised to plan raw material inventory using the methods used in this study, namely forecasting, EOQ, SS, and calculating the total cost of inventory.

INVENTORY MANAGEMENT PRACTICES AND FINANCIAL PERFORMANCE OF LARGE MANUFACTURING FIRMS IN KENYA (A CASE STUDY OF BATA SHOE KENYA PLC)

2019 ◽  
Vol 10 (2) ◽  
pp. 309-328
Author(s):  
Michael Antony Mudimba ◽  
Jacinta Muthee Nyawira
Keyword(s):  
Financial Performance ◽  
Inventory Management ◽  
Management Practices ◽  
Manufacturing Firms ◽  
Economic Order Quantity ◽  
Management Systems ◽  
Order Quantity ◽  
Inventory Planning ◽  
Cycle Model

The study was purposed to determine the effect of Inventory management practices and financial performance in large manufacturing firms in Kenya. The research was conducted with the following four aims: To examine the degree at which inventory management systems influence financial performance; to establish the degree at which inventory planning influences financial performance in large manufacturing firms and to assess the degree at which inventory modeling influences financial performance in large manufacturing firms. Also, the research was directed by Economic Order Quantity, Collaborative Planning, Forecasting and Replenishment Model, Deming Cycle Model, transaction of cost economics (TCE). The findings of the study show that all firms need to adopt inventory management practices so as to enjoy the advantages. Thus, the existence of inventory management practices is one of the ways for attaining improvements in their financial performance.

scholarly journals Optimal pre-sale policy for deteriorating items

2022 ◽  
Vol 12 (1) ◽  
pp. 109
Author(s):  
Lianxia Zhao ◽  
Hui Qiao ◽  
Qi An
Keyword(s):  
Existence And Uniqueness ◽  
Numerical Experiments ◽  
Optimal Solution ◽  
Inventory Model ◽  
Economic Order Quantity ◽  
Optimal Pricing ◽  
Order Quantity ◽  
Stock Level ◽  
Pricing Decisions ◽  
Theoretical Results

<p style='text-indent:20px;'>Pre-sale policy is a frequently-used sales approach for deteriorating products, e.g, fruits, vegetables, seafood, etc. In this paper, we consider an EOQ inventory model under pre-sale policy for deteriorating products, in which the demand of pre-sale period depends on price and pre-sale horizon, and the demand of spot-sale period depends on the price and stock level. Optimal pricing decisions and economic order quantity are also provided. We compare pre-sale model with a benchmark inventory model in which all the products are sold in spot-sale period. Theoretical results are derived to show the existence and uniqueness of the optimal solution. Numerical experiments are carried out to to illustrate the theoretical results. And sensitivity analysis is conducted to identify conditions under which the pre-sale policy is better off than the spot-sale only policy.</p>

Silo Manufacturing Corporation (SMC) Managing with Economic Order Quantity

2018 ◽  
pp. 1-8
Author(s):  
Ted Farris
Keyword(s):  
Performance Measures ◽  
The Other ◽  
Unit Price ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Just In Time ◽  
Order Quantity ◽  
Strategic Goals ◽  
Order Quantities

This two-part case illustrates the use of economic order quantity to manage conflicting performance measures across different siloed functions in an organization. Part A requires students to assess the costs of various order quantities and quantify the concept of “robustness.“ Part B emphasizes managing the variables of annual demand, ordering cost, inventory carrying cost, and unit price to achieve strategic goals. The student must determine how to lower ordering costs to compensate for increases in the other variables as well as to help guide Just-In-Time implementation efforts.

scholarly journals MODEL ECONOMIC ORDER QUANTITY (EOQ) DAN MODEL OPTIMISASI ROBUST DALAM PENENTUAN PERSEDIAAN ALAT SUNTIK (SPUIT)

2019 ◽  
Vol 8 (3) ◽  
pp. 164
Author(s):  
PUTRI BELLA SAGITA ◽  
NI KETUT TARI TASTRAWATI ◽  
KARTIKA SARI
Keyword(s):  
Robust Optimization ◽  
Optimization Model ◽  
Inventory Model ◽  
Buffer Stock ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Minimum Order ◽  
Eoq Model ◽  
Order Quantities

The purpose of this research is to determine and analyze the minimum order quantities and the supply cost through Economic Order Quantity (EOQ) Model without Stock Out, EOQ Model with Buffer Stock, and Robust Optimization. EOQ model without Stock Out is an inventory model with a fixed number of requests and a fixed period of demand so the goods are considered always available or there is no stock out. Whereas EOQ Model with Buffer Stock is an inventory model with uncertainty demand during the lead time that described with a uniform density function. Another model is Robust Optimization Model that is used for cases with uncertainty demand. The results showed that the minimum order quantities through EOQ Model without Stock Out and EOQ Model with Buffer Stock was almost the same value but the cost was more minimum with the EOQ Model with Buffer Stock. Whereas, through the Robust Optimization Model there are different minimum order quantities for each period with a minimum supply cost compared to the two previous models. This occurs in both types of Spuit, namely Spuit Terumo 3 mL and Spuit Terumo 5 mL.

ANALISA SISTEM PERSEDIAAN BAHAN BAKU PADA INDUSTRI BINTANG PRIMA ACEH BESAR

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Chairul Amni
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity

Perencanaan persediaan bahan baku merupakan salah satu peranan yang sangat penting dalam dunia industri untuk meningkatkan permintaan pasar. Sebuah perencanaan produksi akan berjalan dengan baik jika di dukung dengan adanya persediaan bahan baku yang memadai. Persediaan bahan baku juga memberikan kontribusi biaya yang cukup besar sehingga komponen biaya ini juga perlu untuk dikendalikan. Melihat pentingnya fungsi perencanaan produksi dan pengendalian persediaan bahan baku, maka perlu adanya usaha untuk mengelolanya secara efisien untuk mendapatkan hasil yang optimal. Perencanaan bahan baku merupakan hal yang sangat penting dilakukan untuk mendukung proses produksi, sehingga tidak terjadi masalah seperti keterlambatan pengiriman barang kepada konsumen, dan pemborosan biaya bahan baku. Tujuan dari penelitian ini adalah untuk mengetahui sistem pengendalian bahan baku yang diterapkan serta untuk mengetahui jumlah ekonomis bahan baku pada setiap kali pemesanan yang di analisis dengan menggunakan metode EOQ (Economic Order Quantity). Dari penelitian ini mendapatkan hasil yang menunjukkan bahwa penggunaan metode EOQ dalam pemesanan bahan baku jauh lebih optimal dan efisien dibanding metode yang selama ini diterapkan, terlihat dari selisih total biaya pemesanan bahan baku pada tepung mencapai 1,21% (404.950 rupiah) selisih pada bahan baku gula 0,02% (4.450 rupiah) dan selisih biaya pada pemesanan ragi dan garam sebesar 14,31% yaitu sebesar Rp. 82.500 untuk Ragi dan Rp. 8.250 untuk selisih pemesanan garam. dengan demikian dapat disimpulkan bahwa penggunaan metode EOQ mempuanyai hasil baik dalam melakukan pemesanan bahan baku sehingga bahan baku untuk produksi tidak mengalami penumpukan dan tidak mengalami kekosongan dalam gudang.

Analisis Pengendalian Persediaan Bahan Baku pada PT.Tri Agro Palma Tamiang

2017 ◽  
Vol 8 (2) ◽  
pp. 710-724
Author(s):  
Dewi Rosa Indah ◽  
Elsayus Yulia Risasti
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity

Penelitian ini bertujuan untuk mengetahui sistem pengendalian persediaan bahan baku pada PT. Tri Agro Palma Tamiang. Metode analisis data yang digunakan adalah analisis kuantitatif dengan menggunakan metode Economic Order Quantity, stok pengaman dan titik pesan kembali. Berdsarkan hasil analisis Kuantitas pembelian yang optimum menurut kebijakan perusahaan adalah 248,78 Ton pertahun. Sedangkan berdasarkan metode Economic Order Quantity kuantitas pembelian yang optimum adalah 470,68 ton. Frekuensi pembelian yang optimum menurut kebijakan perusahaan adalah 312 kali, sedangkan dengan menggunakan metode Economic Order Quantity yaitu 165 kali. Total biaya persediaan dengan menggunakan kebijakan perusahaan adalah Rp.5.425.172 setelah menggunakan metode Economic Order Quantity dapat mengefisiensikan besarnya biaya persediaan perusahaan yaitu Rp. 4.482.274. Sementara itu untuk persediaan pengaman dan titik pemesanan kembali menurut kebijakan perusahaan tidak ada, sedangkan menurut perhitungan metode Economic Order Quantity besarnya persediaan pengaman adalah sebanyak 1.106,74 Ton dan titik pemesanan ulang sebesar 1.355,52 Ton.

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