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

scholarly journals Analisis Peramalan Permintaan dan Pengendalian Persediaan Bahan Baku Pembantu pada Industri Gula (Studi Kasus PT. XYZ Lampung Utara)

2020 ◽  
Vol 20 (2) ◽  
pp. 148-160
Author(s):  
Dharma Agista Pratama ◽  
Sri Hidayati ◽  
Erdi Suroso ◽  
Dewi Sartika
Keyword(s):  
Linear Regression ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Economic Order ◽  
Weighted Moving Average

Peramalan dan manajemen persedian merupakan salah satu factor penting dalam menentukan keberlanjutan usuatu usaha dalam industri.  Tujuan penelitian yaitu menganalisis metode peramalan penjualan yang paling sesuai untuk industri gula PT. XYZ dan menganalisis teknik pengendalian persediaan  dengan menggunakan metode Economic Order Quantitiy  (EOQ).  Terdapat 5 metode  peramalan yang digunakan yaitu : Linear Regression, Moving Average, Weighted Moving Average, Exponential Smoothing, dan exponential smoothing with trend.  Hasil analisis menunjukkan bahwa metode linear regression merupakan metode forecasting yang paling sesuai digunakan oleh industri gula PT. XYZ dengan nilai MAD, MSE, dan MAPE terkecil dibandingkan metode lainnya yaitu sebesar 7.195, 65.854.060, dan 10%, dengan hasil peramalan pada tahun 2019 sebesar 44.746 ton gula pasir.  Hasil analisis pengendalian persediaan menggunakan metode EOQ  terhadap bahan baku pembantu belerang dan soda kaustik .  Frekuensi pemesanan untuk belerang dilakukan  28 kali per tahun memilikitotal biaya persediaan sebesar Rp. 1.010.908.000 dan biaya penghematan sebesar Rp. 19.581.365.  dan pembantu causatic soda dengan frekuensi pemesanan 27 kali per tahun memiliki total biaya persediaan sebesar Rp. 922.241.500 dan biaya penghematan sebesar Rp. 17.840.930. 

scholarly journals PERAMALAN PENJUALAN AIR MINUM ISI ULANG 19 LITER PADA USAHA DEPOT TIRTA ASRI UNTUK MENINGKATKAN VOLUME PENJUALAN TAHUN 2016 DI DAERAH TAJUR HALANG BOGOR DENGAN METODE FORECASTING

2018 ◽  
Vol 12 (02) ◽  
pp. 60-72
Author(s):  
Rizka Fernanda Rumai Damayanti
Keyword(s):  
Linear Regression ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Naive Method ◽  
Weighted Moving Average

Tujuan penelitian ini untuk mengetahui perkembangan usaha dengan melakukan peramalan penjualan pada depot air minum isi ulang Tirta Asri di Tajur Halang Bogor. Metode yang digunakan dalam penelitian ini adalah pendekatan enam metode forecasting. Penelitian ini menunjukkan hasil peramalan untuk exponential smoothing dengan MAD = 186,9520 dan MSE = 44017,0091, weighted moving average dengan MAD = 192 dan MSE = 52418,2866, moving average dengan MAD = 182,8886 dan MSE = 50966,1063, linear regression dengan MAD =134,2571 dan MSE = 22649,1809, naive method dengan MAD =246,4 dan MSE = 73564,8, exponential smoothing with trend dengan MAD = 177,2625 dan MSE = 46714,1544. Dengan demikian metode linear regression yang paling tepat digunakan untuk melakukan peramalan penjualan, karena hasil kesalahan lebih kecil dibandingkan dengan lima metode lainnya.

scholarly journals Prediksi Jumlah Tamu Menginap di Hotel Karlita International, Tegal, Jawa Tengah

2013 ◽  
Vol 4 (2) ◽  
pp. 661-675
Author(s):  
Haryadi Sarjono ◽  
Irwan Zulkifli
Keyword(s):  
Comparative Analysis ◽  
Linear Regression ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Multiplicative Decomposition ◽  
Additive Decomposition ◽  
Central Java ◽  
Forecasting Methods ◽  
Naive Method ◽  
Weighted Moving Average

Article is forecasting comparative analysis of number of guess room occupancy at Karlita International Hotel, Tegal, Central Java using 11 forecasting methods: linear regression, moving average, weighted moving average, exponential smoothing, exponential smoothing with trend, naïve method, trend analysis, additive decomposition – CMA, additive decomposition – average all, multiplicative decomposition – CMA, multiplicative decomposition – average All. Article used 17 data from January 2012 to Mei 2013, and results after using those 11 methods were the smallest MAD is 101.69 and the smallest MSE is 15,163.95. From additive decomposition – average all method, data showed guess room occupancy forecast at Karlita International Hotel for June 2013 is 960 guess.

Unit-Wise Ranking of Inventory Control Techniques Used in Small Scale Cement Enterprises: A Small Scale Entrepreneurial Perspective

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Vipul Chalotra
Keyword(s):  
Inventory Control ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Small Scale ◽  
Just In Time ◽  
Order Quantity ◽  
Control Techniques ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Almost All

The present research divulges the different inventory control techniques used small scale cements enterprises operated by small scale entrepreneurs through the assistance of primary data collected from eight small scale cement enterprises operating in SIDCO & SICOP, under DIC (District Industries Center) in District Udhampur of Jammu & Kashmir State. The various inventory control techniques identified and quested for in the research were: Always Better Control (ABC), Economic Order Quantity (EOQ), Material Requirement Planning (MRP), and Just-in-Time (JIT). The results of the ranking table quoted that Economic Order Quantity (EOQ) was awarded first rank by almost all the units representing overall mean score of 1.71, Always Better Control (ABC) was denoted by rank two repressing overall mean value as 2.00, Material Requirement Planning (MRP) was quoted rank three as depicted by its mean ranking (2.25), and Just-in-time (JIT) was accorded rank four (3.71) by almost all the small scale cements entrepreneurs/owners.

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 ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PADA UD. MIE STEVEN KAROMBASAN KOTA MANADO

2017 ◽  
Vol 13 (3A) ◽  
pp. 251
Author(s):  
Megawati ., Sengkeunaung ◽  
Tommy F. Lolowang ◽  
Nordy F.L. Waney
Keyword(s):  
Inventory Control ◽  
Secondary Data ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Primary Data ◽  
The Internet ◽  
Order Quantity ◽  
Inventory Cost ◽  
Total Cost

This research aims to analyze raw material inventory at UD. Mie Steven. This research was conducted for four months from January to April 2017. The data used in this research are primary and secondary data. Primary data obtained through interviews with the company, while secondary data obtained from data that has been compiled in the form of documents from the company, data from BPS, previous research or from the internet. The data is processed using EOQ (Economic Order Quantity) method. The result of the research is known that the policy of raw material inventory control is done by UD. Mie Steven is not efficient yet. This is shown by the company's inventory cost is bigger than the result of analysis using EOQ method is 6,693 Kg with total cost of economical inventory Rp.11.325.500.

scholarly journals ABC ANALYSIS, FORECASTING AND ECONOMIC ORDER QUANTITY (EOQ) IMPLEMENTATION TO IMPROVE SMOOTH OPERATION PROCESS

2020 ◽  
Vol 1 (3) ◽  
pp. 319-325
Author(s):  
Thukas Shilul Imarah ◽  
Roni Jaelani
Keyword(s):  
Inventory Control ◽  
Fast Moving ◽  
Data Accuracy ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Trading Company ◽  
Operation Process ◽  
Operational Activities ◽  
Abc Analysis

The study aims to test the effectiveness of the implementation of several inventory control methods to improve the smooth operation in a trading company of industrial equipements components that have difficulty in maintaining inventory data accuracy, inventory shortages and in other hand excess unrequired inventory. The research data used is taken from the ERP report data and manual reports created by the perpetrators of the operational activities of the Inventory Control for the period 2016 - 2018. The sampling method used is purposive sampling of the product sales data in years 2016 – 2018  as much as 2498  Stock  Keeping Unit (SKU) which is then  processed using the method of ABC analysis and  FSN (Fast Moving, Slow Moving and None Moving) analysis to get  10  SKUs that belongs to the category A and  F (Fast Moving) group as a sample of research. The research method uses the Quantitative method with the use of ABC analysis, Forecasting and Economic Order Quantity. The results shows that the implementation of ABC analysis effectively reduced the workload of periodic counting and is able to improve data accuracy to be higher level. The exponential smoothing forecast method shows the least gap to the actual value and EOQ effectively optimizes ordering and holding costs and reduces the risk of failure in Inventory Control and positively affects the smoothness of the operation process.

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