scholarly journals Pengendalian Persediaan Barang Dagang Menggunakan Model Probabilistik (Studi Kasus: Toko XYZ) Merchandise Inventory Control Using Probabilistic Model (Case Study : XYZ Store)

2020 ◽  
Vol 18 (1) ◽  
pp. 87
Author(s):  
Dewi Diniaty
Keyword(s):  
Probabilistic Model ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Economic Order ◽  
Order Quantity ◽  
Review System ◽  
Model Case ◽  
Safety Stock ◽  
Total Cost ◽  
Cooking Oil

Abstrak Toko XYZ adalah toko sembako dengan komoditi barang dagangnya yaitu beras, gula, minyak goreng, dan tepung. Permasalahan yang dihadapi adalah permintaan konsumen yang berfluktuasi dan lead time barang dagang yang tidak pasti, sehingga menyebabkan kekurangan persediaan yang berpengaruh kepada pelayanan terhadap konsumen. Tujuan dari penelitian ini menentukan  safety stock yang optimal dengan perencanaan persediaan dan mengetahui ongkos persediaan yang optimal dan kapan waktu pemesanan kembali yang ekonomis dengan menggunakan EOQ model probabilistik. Metode peramalan yang digunakan yaitu Weight Moving Average dan Exponential Smoothing, kemudian dilakukan perhitungan EOQ Probabilistik. Hasil Safety Stock optimal pada beras 22 karung, kuantitas pemesanan 224 karung dan total ongkos persediaan Rp. 368.671.032/tahun. Untuk gula 6 karung, kuantitas pemesanan 92 karung dan total ongkos persediaan Rp. 254.573.746/tahun. Untuk minyak goreng sebesar 15 jerigen, kuantitas pemesanan 120 jerigen dan total ongkos persediaan Rp. 125.072.163/tahun. Untuk tepung 18 karung kuantitas pemesanan 123 karung dan total ongkos persediaan sebesar Rp. 125.909.965/tahun.Kata kunci: Continuos Review System, Economic Order Quality Probabilistik, Inventory, Weight Moving Average Exponential Smoothing. Abstract XYZ Store is groceries shop with merchandise commodities, namely rice, sugar, cooking oil, and flour. The problems faced are fluctuating consumer demand and uncertain lead times for merchandise, causing inventory shortages that affect the service to consumers. The purpose of this study is to determine the optimal safety stock with inventory planning and find out the optimal inventory costs and when to reorder economically using the EOQ probabilistic model. Forecasting method using the Weight Moving Average and Exponential Smoothing methods, then the Probabilistic EOQ calculation is performed. The optimal safety stock for rice merchandise is 22 sacks, order quantity of 224 sacks and the total cost inventory is Rp. 368,671,032/year. For sugar is 6 jerry cans, order quantity of 92 sacks and total cost of inventory is Rp. 254,573,746/year. For cooking oil is 15 jerry cans, order quantity of 120 sacks and total cost of inventory is Rp. 125,072,163/year. For flour is 18 jerry, order quantity of 123 sacks and total cost of inventory is Rp. 125,909,965/year.Keywords: Continuos Review System, Economic Order Quality Probabilistic, Inventory, Weight Moving Average Exponential Smoothing

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.

scholarly journals ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN MENUNJANG KEEFEKTIFITASAN PROSES PRODUKSI MEUBELAIR PADA PERUSAHAAN UD. JAYA ABADI PUTRA KEDUNGPRING LAMONGAN

2021 ◽  
Vol 13 (1) ◽  
pp. 49-61
Author(s):  
Sandi Julianto
Keyword(s):  
Optimal Number ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock ◽  
Total Cost ◽  
Purchase Frequency ◽  
Company Policy ◽  
A Company

: This research to determine the policy of controlling raw material inventory in a company if it uses the Economic Order Quantity (EOQ) method with current company policy. The data used in the form of data about the main raw material needs and the costs incurred in ordering and storing during 2017-2019. Data collection techniques by examining company documents. The research method used is descriptive discussion that is to make a systematic picture using the object under study. The results of the analysis are known to control raw material inventory at UD. Jaya Abadi Putra Kedungpring Lamongan can be concluded as follows (1) The optimal number of raw material inventory purchases using the economic order quantity method in 2017 is 176.93 m3 with a purchase frequency of 16 times, in 2018 amounting to 170.58 m3 with purchase frequency 16 times, in 2019 is 165.72 m3 with a purchase frequency of 16 times. And the total cost of raw material inventory of the company in the calculation of economic order quantity in 2017 is Rp. 962,606.69 in 2018 amounting to Rp. 1,063,484.4, in 2019 amounting to Rp. 1,112,250,3. (2). Safety stock / Safety Stock according to the results of the calculation of economic order quantity in 2017 is 29 m3, in 2018 is 24.33 m3, in 2019 is 19.84. Reorder points according to the calculation of economic order quantity in 2017 amounted to 57.14 m3, in 2018 amounted to 52.23 m3, in 2019 amounted to 46.96 m3.

scholarly journals OPTIMALISASI PIPA BAJA DENGAN MENGGUNAKAN PERAMALAN DAN PENGENDALIAN PERSEDIAAN BAHAN BAKU DI PT. ANGKASA RAYA STEEL

2019 ◽  
Vol 2 (1) ◽  
pp. 8
Author(s):  
Sofiya Nurriyanti
Keyword(s):  
Exponential Smoothing ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock

PT. Angkasa Raya Steel adalah perusahaan manufaktur yang bergerak pada industri pembuatan pipa baja. Pipa baja yang diproduksi oleh perusahaan langsung dijual ke pada supliyer-supliyer terpercaya. Dalam produksinya perusahaan menghasilkan empat jenis pipa baja. Bahan baku juga langsung di datangkan dari supplier PT. Java Pasifik dan PT. Inti Sumber. Bahan baku pipa baja yang digunakan oleh PT. Angkasa Raya Steel bernama <em>Coil</em>. Namun seringkali, perusahaan mengalami kekurangan stok bahan baku dan perusahaan tidak memiliki <em>safety stock</em>. Kurangnya <em>stock</em> persediaan dari gudang mengakibatkan perusahaan tidak dapat melakukan produksi sehingga mengalami kelambatan dalam mengirim produk jadi ke konsumen. Oleh karena itu, dengan adanya permintaan produk dari <em>costumer </em>perusahaan memerlukan pengendalian persediaan bahan baku, agar persediaan bahan baku dan permintaan produk dari costumer stabil. Salah satu metode yang digunakan untuk pengendalian persediaan bahan baku adalah metode “<em>Economic Order Quantity</em>” (EOQ). September 2018 metode <em>exponential smoothing</em> 3 bulan dipilih sebagai acuan dalam persediaan bahan baku dikarenakan mempunyai nilai error terkecil dengan nilai 406164757,13. Berdasarkan hasil pengendalian persediaan dengan metode <em>EOQ </em>dapat diketahui dengan menggunaan metode <em>EOQ</em>, jika PT. Angkasaaya Steel menggunakan metode <em>EOQ </em>dapat menghemat biaya sebesar Rp 31.261.22.955.000 per Tahun<em>.</em>

scholarly journals INVENTORY CONTROL USING STATISTICS FORECASTING ON MANUFACTURE COMPANY

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Rizki Tri Prasetio
Keyword(s):  
Linear Regression ◽  
Inventory Control ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Naive Method ◽  
Forecasting Method ◽  
Weighted Moving Average

Abstract - Inventory Control is a main and the most crucial factor for company that can cause an efficient production process. A lot of research use different method to support inventory control. This research use several forecasting method such as, Naïve Method, Exponential Smoothing, Exponential Smoothing with Trend, Moving Average, Weighted Moving Average and Linear Regression. Economic Order Quantity is used to calculate raw materials inventory. This research results suggest that company use Linear Regression as it has the smallest MAD and MSE of the six other methods. The company also has to implement Economic Order Quantity to minimalize loss profit due to excess inventory. Keywords : Inventory Control, Forecasting Method, Economic Order Quantity Abstrak - Pengendalian inventory merupakan salah satu faktor utama dan sangat penting bagi perusahaan karena sangat berpengaruh terhadap terciptanya proses produksi yang efisien. Banyak penelitian yang menggunakan beberapa metode guna mendukung pengendalian inventory. Penelitian ini menggunakan beberapa metode peramalan (forecasting method) diantaranya, Naïve Method, Exponential Smoothing, Exponential Smoothing with Trend, Moving Average, Weighted Moving Average dan Linear Regression. Serta Economic Order Quantity (EOQ) yang digunakan untuk menghitung persediaan bahan baku yang dibutuhkan dalam proses produksi. Hasil penelitian menghasilkan bahwa metode peramalan Linear Regression memiliki tingkat kesalahan yang dihitung menggunakan MAD dan MSE paling kecil diantara 6 metode lainnya. Serta mengimplementasikan Economic Order Quantity untuk meminimalisir kerugian akibat kelebihan persediaan. Kata Kunci : Pengendalian Persediaan, Metode Peramalan, Economic Order Quantity

scholarly journals USULAN TOTAL BIAYA PERSEDIAAN PEREAKSI PADA LABORATORIUM KIMIA DI PT XYZ

2021 ◽  
Vol 2 (1) ◽  
pp. 13-19
Author(s):  
Sambas Sundana ◽  
Resti Febriani Putri
Keyword(s):  
Moving Average ◽  
Exponential Smoothing ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Single Exponential ◽  
Weighted Moving Average

Masalah yang dihadapi perusahaan selama  tahun 2020 terjadi stock out sebanyak tiga kali dengan total empat botol yang mengakibatkan adanya biaya tambahan berupa biaya pemesanan sedangkan tujuan dari penelitian ini yaitu menghitung peramalan pereaksi kalium iodida berdasarkan data historis pemesanan, menghitung persediaan pereaksi kalium iodida menggunakan metode  economic order quantity (EOQ), dan  menghitung total biaya yang dibutuhkan untuk melakukan pemesanan pereaksi kalium iodida dalam satu tahun. Metode  Peramalan  yang dipakai yaitu Moving Average (MA, n = 3), Peramalan Moving Average (MA, n = 4), Peramalan Weighted Moving Average (WMA, n = 3), Peramalan Weighted Moving Average (WMA, n = 4), Peramalan Single Exponential Smoothing (SES, alpha = 0,5), Peramalan Single Exponential Smoothing (SES, alpha = 0,4), Peramalan Double Exponential Smoothing (DES, alpha = 0,5), Peramalan Double Exponential Smoothing (DES, alpha = 0,4), Peramalan Double Exponential Smoothing (DES, alpha = 0,4),Metode EOQ dan total biaya. Hasil yang diperoleh metode peramalan yang dipilih yaitu MA dengan n sama dengan empat, dimana peramalan yang dihasilkan menunjukkan jumlah pemesanan pereaksi tiap periode sebesar 3 botol dengan total pemesanan tahun 2021 sebanyak 36 botol,.EOQ sebanyak 9 botol,.dan Total Biaya Persediaan Pereaksi Kalium Iodida Rp. 64.577.143

Sistem Informasi Pengendalian Persediaan Barang Menggunakan Metode Economic Order Quantity (EOQ)

IJAcc ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 132-139
Author(s):  
Erna Astriyani ◽  
Desy Apriani ◽  
Meri Mayang Sari
Keyword(s):  
Control System ◽  
System Design ◽  
Inventory Control ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Control System Design ◽  
Order Quantity ◽  
Microsoft Excel ◽  
Total Cost ◽  
Control Information

The system that is currently running in recording inventory at PT Berlina Tbk Tangerang is considered ineffective and efficient because it still uses paper and the process of inputting and recapping goods data is semi-computerized in Microsoft Excel. which causes problems, namely too much stock of goods so that it increases the load in the warehouse and too little stock of goods which results in an exhaustion of stock in the warehouse. To solve this problem, we need an inventory control information system. The method of analysis uses the EOQ (Economic Order Quantity) method. For the system design process using sublime as the writing language and programming PHP, and XAMPP as localhost, the database uses MySQL. This study aims to design an inventory control system in the HRD department at PT Berlina Tbk Tangerang, and to make it easier for the HRD Department to input and create inventory reports. With this research, it can produce an inventory control system design that is more effective and efficient and can find out the storage costs in the warehouse. From the calculation of the EOQ method, it is found that it is 20% smaller than the previous storage and the total cost of ordering in a year is 2x orders. Thus, it means that there is a very real difference between the inventory policies implemented by the company and the EOQ method.

scholarly journals Pengendalian Persediaan Bahan Baku Nalco Water Treatment Dengan Menggunakan Metode Lot Sizing

2019 ◽  
Vol 2 (2) ◽  
pp. 80
Author(s):  
Masad Hariyadi ◽  
Boy Isma Putra
Keyword(s):  
Water Treatment ◽  
Raw Materials ◽  
Unit Cost ◽  
Exponential Smoothing ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Double Exponential ◽  
Double Exponential Smoothing

The limited supply of Nalco raw materials from producers has become a problem for PT ABC, this has led to the control of raw material inventory at PT ABC not including good management, because in the management of raw materials the company still records inventory with manual systems and in ordering raw materials only based on estimates. From the results of the study, the forecasting method used is the Double Exponential Smoothing Holt's, Brown, and Holt Winters Additive Algorithm methods, from the three methods that are most suitable is the Double Exponential Smoothing Brown method with the smallest Mean Square Error of 256.2. Calculation of Sizing Lot by using Economic Order Quantity method, Least Unit Cost method, and Silver Meal method, of the three methods the most optimal is the Economic Order Quantity method because it has the lowest cost of Rp. 12,651,145. The calculation of Safety Stock gets 17 Pail results. and for Reorder Points for Nalco Water Treatment raw material, which is 29 Pail.

scholarly journals ANALYSIS CONTROL SUPPLIES RAW MATERIALS TO EFFICIENCY COST, USING THE METHOD OF ECONOMIC QUANTITY ORDER AT CV. PQR

2018 ◽  
Vol 1 (01) ◽  
pp. 41
Author(s):  
Wartoyo Hadi
Keyword(s):  
Production Process ◽  
Raw Materials ◽  
Analysis Data ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point ◽  
Efficiency Cost

The purpose of the implementation of this research is to find the effectiveness of supplies raw materials, the method of analysis data used in the square is the smallest trend for planning raw materials and controling supplies use method of economic order quantity (EOQ) analyze reorder point. Analysis reorder point and safety stock. And analyzes efficiency cost of raw materials. Forecasting raw materials years 20x7 according to the smallest trend, cloth and dakron happened the difference is greater than of the target needed (according to a company); controling supplies raw materials with the methods eoq in 20x7 more effective than reservations raw materials cloth and dakron and more efficient than cost raw materials. The company should review the policy of forecasting raw material supplies that had been undertaken and make planning supplies the raw material that more accurate using the firm’s historical data and not only targeting the output production next year, so that machines production can be optimized. Considering the use of control supplies with the methods economic order quantity to companies, so this analysis can determine material reservations, supplies safety, maximum supplies to avoid the risk of running out of raw materials, because the companies often happened less dressed up a result of reservations that time is inaccurate, the lack of safety stock and the deferred the delivery of goods which often disturb the production process, by this method can prevent these things, so that the production process can run smoothly and minimize the cost of raw materials supplies.

scholarly journals ANALISIS PERSEDIAAN BAHAN BAKU MADU DENGAN PENDEKATAN ECONOMIC ORDER QUANTITY (EOQ) PADA PT. AKSAMALA ADI ANDANA

2020 ◽  
Vol 20 (1) ◽  
pp. 39
Author(s):  
Ayu Fitriani Putri ◽  
Agus Santosa ◽  
Ni Made Suyastiri Yani Permai
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point

Penelitian ini bertujuan untuk menganalisis pemesanan bahan baku madu optimal, menganalisis pengaruh biaya pemesanan, biaya penyimpanan, jumlah pemakaian dan waktu tunggu terhadap persediaan bahan baku madu, menganalisis trend kebutuhan bahan baku madu bulan Juli sampai dengan Desember 2018, menganalisis persediaan pengaman (safety stock) bahan baku madu, menganalisis titik pemesanan ulang (reorder point) bahan baku madu. Penelitian ini menggunakan metode deskriptif dengan metode pelaksanaan penelitian yaitu studi kasus. Metode analisis data yang digunakan adalah analisis model EOQ (Economic Order Quantity), analisis regresi linier berganda, analisis trend, analisis safety stock dan analisis reorder point. Hasil penelitian menunjukkan bahwa pemesanan bahan baku madu yang optimal sebesar 6.524 kg/pesanan dengan frekuensi 17 kali pemesanan. Faktor biaya penyimpanan dan jumlah pemakaian mempengaruhi persediaan bahan baku sedangkan faktor biaya pemesanan dan waktu tunggu tidak mempengaruhi persediaan bahan baku di PT. Aksamala Adi Andana. Trend kebutuhan bahan baku madu di PT. Aksamala Adi Andana pada Bulan Juli sampai dengan Desember 2018 cenderung meningkat. Persediaan pengaman (safety stock) bahan baku madu yang harus tersedia di PT. Aksamala Adi Andana yaitu sebesar 766 kg. Reorder point bahan baku madu di PT. Aksamala Adi Andana sebesar 2.915 kg.

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