scholarly journals Pengendalian Persediaan Bahan Baku Pada Industri Tenun Ikat “Medali Mas” Kediri

2020 ◽  
Vol 2 (2) ◽  
pp. 75
Author(s):  
M Ayub Ardhirakmanto ◽  
Sri Rahayuningsih ◽  
Ana Komari
Keyword(s):  
Demand Uncertainty ◽  
Raw Materials ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Raw Material ◽  
Safety Stock ◽  
Reorder Point ◽  
Forecasting Methods ◽  
Production Period ◽  
Exponential Smoothing Method

Tenun Ikat Medali Mas Industry has long been producing woven cloth in various models and patterns. Problems faced by researchers regarding the supply of raw materials, due to the absence of controlling the amount of inventory of raw materials needed specifically, while the company is faced with demand uncertainty which is very influential on the procurement of raw material supplies. So the holding of research with forecasting methods to calculate the needs in one production period. The variable in this research is about controlling raw material inventory. The first is to collect raw material needs data. Perform forecasting with the Exponential smoothing  method α = 0.15, and Moving average N = 2. Next, the forecast results determine the smallest error value with indicators MAD, MSE, and MAPE. After the chosen method will be used as a reference for forecasting in the next period. Then perform efficient safety stock and reorder point calculations for one production period. From the results of calculations on the raw material yarn produces Maximum Inventory = 4287 kg; Safety Stock = 53 kg; Reorder Point = 128 kg while on the raw material paint Maximum Inventory = 304 kg; Safety Stock = 7 kg; Reorder Point = 12 kg.Industri Tenun Ikat Medali Mas sudah lama memproduksi kain tenun dalam berbagai model maupun corak. Permasalahan yang dihadapi oleh peneliti mengenai persediaan bahan baku, dikarenakan belum adanya pengendalian jumlah persediaan bahan baku yang dibutuhkan secara spesifik, sedangkan perusahaan dihadapkan pada ketidakpastian permintaan yang sangat berpengaruh pada pengadaan persediaan bahan baku. Sehingga diadakannya penelitian dengan metode forecasting untuk memperhitungkan kebutuhan dalam satu periode produksi. Variabel dalam penelitian ini tentang pengendalian persediaan bahan baku. Pertama dilakukan pengumpulan data kebutuhan bahn baku. Melakukan peramalan dengan metode Exponential smoothing  α = 0,15, dan Moving average N = 2. Berikutnya dari hasil peramalan ditentukan nilai eror terkecil dengan indikator MAD, MSE, dan MAPE. Setelah metode terpilih nantinya akan dijadikan acuan untuk melakukan peramalan pada periode selanjutnya. Kemudian melakukan perhitungan safety stock dan reorder point yang efisien untuk satu periode produksi. Dari hasil perhitungan pada bahan baku benang menghasilkan Maximum Inventory = 4287 kg; Safety Stock = 53 kg; Reorder Point = 128 kg sedangkan pada bahan baku cat Maximum Inventory = 304 kg; Safety Stock = 7 kg; Reorder Point = 12 kg.

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 Komparasi Metode Peramalan Jumlah Permintaan Kamar Hotel

2019 ◽  
Vol 9 (2) ◽  
Author(s):  
Rendra Gustriansyah ◽  
Wilza Nadia ◽  
Mitha Sofiana
Keyword(s):  
Moving Average ◽  
Exponential Smoothing ◽  
Standard Type ◽  
The Public ◽  
Forecasting Methods ◽  
Forecasting Method ◽  
Double Exponential ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Method ◽  
Single Exponential

<p class="SammaryHeader" align="center"><strong><em>Abstract</em></strong></p><p><em>Hotel is  a type of accommodation that uses most or all of the buildings to provide lodging, dining and drinking services, and other services for the public, which are managed commercially so that each hotel will strive to optimize its functions in order to obtain maximum profits. One such effort is to have the ability to forecast the number of requests for hotel rooms in the coming period. Therefore, this study aims to forecast the number of requests for hotel rooms in the future by using five forecasting methods, namely linear regression, single moving average, double moving average, single exponential smoothing, and double exponential smoothing, as well as to compare forecasting results with these five methods so that the best forecasting method is obtained. The data used in this study is data on the number of requests for standard type rooms from January to November in 2018, which were obtained from the Bestskip hotel in Palembang. The results showed that the single exponential smoothing method was the best forecasting method for data patterns as in this study because it produced the smallest MAPE value of 41.2%.</em></p><p><strong><em>Keywords</em></strong><em>: forecasting, linier regression, moving average, exponential smoothing.</em></p><p align="center"><strong><em>Abstrak</em></strong></p><p><em>Hotel merupakan jenis akomodasi yang mempergunakan sebagian besar atau seluruh bangunan untuk menyediakan jasa penginapan, makan dan minum serta jasa lainnya bagi umum, yang dikelola secara komersial, sehingga setiap hotel akan berupaya untuk mengoptimalkan fungsinya agar memperoleh keuntungan maksimum. Salah satu upaya tersebut adalah memiliki kemampuan untuk meramalkan jumlah permintaan terhadap kamar hotel pada periode mendatang. Oleh karena itu, penelitian ini bertujuan untuk meramalkan jumlah permintaan terhadap kamar hotel di  masa mendatang dengan menggunakan lima metode peramalan, yaitu regresi linier, single moving average, double moving average, single exponential smoothing, dan double exponential smoothing, serta untuk mengetahui perbandingan hasil peramalan dengan kelima metode tersebut sehingga diperoleh metode peramalan terbaik. Adapun data yang digunakan dalam penelitian ini merupakan data jumlah permintaan kamar tipe standar dari bulan Januari hingga November tahun 2018, yang diperoleh dari hotel Bestskip Palembang. Hasil penelitian menunjukkan bahwa metode single exponential smoothing merupakan metode peramalan terbaik untuk pola data seperti pada penelitian ini karena menghasilkan nilai MAPE paling kecil sebesar 41.2%.</em></p><strong><em>Kata kunci</em></strong><em>: peramalan, regeresi linier, moving average, exponential smoothing.</em>

scholarly journals Analisis Persedian Bahan Baku, Reorder Point dan Safety Stock Bahan Baku ADC-12

2020 ◽  
Vol 20 (2) ◽  
pp. 675
Author(s):  
Hazimah Hazimah ◽  
Yongki Antoni Sukanto ◽  
Nurlinda Ayu Triwuri
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point ◽  
Calculation Results ◽  
Descriptive Approach ◽  
Quantitative Descriptive ◽  
Optimal Calculation

The production process is very dependent on the availability of raw materials. An optimal calculation of raw material inventory is needed so that the company avoids the problem of lack or over stock of raw materials. This research aims to find out the quantity of raw material inventory, safety stock, and reorder point for ADC-12 raw materials.. This research uses a quantitative descriptive approach. Data sources obtained directly from the company. Analysis of the data used using the Economic Order Quantity method. Based on research and calculation results that have been done, if the company uses the EOQ method the quantity of raw material inventory is 80,861 kg. The quantity of the safety stock is 2,768 kg with a reorder point (ROP) of 14,038 kg.

scholarly journals ANALISIS BIAYA PERSEDIAAN BAHAN BAKU IKAN DAN PERHITUNGAN ECONOMIC ORDER QUANTITY (EOQ) PADA RUMAH MAKAN IKAN BAKAR KINAMANG

2018 ◽  
Vol 13 (02) ◽  
Author(s):  
Melinda Miranda Wijaya ◽  
David P. E. Saerang ◽  
Meily Y. B. Kalalo
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Purchase Order ◽  
Reorder Point ◽  
The Cost

            The cost of raw material inventory is a sacrifice of economic resources, measured in units of money, which have occurred or are likely to occur for raw material inventory, consisting of purchase costs, storage costs, and inventory shortage. This study aims to determine (1) Total Inventory Cost (TIC) based on RM policy. Kinamang Fuel Fish and Economic Order Quantity (EOQ) method during 2017 (2) Frequency of ordering of efficient fish raw material during 2017 (3) Quantity of safety stock and when to reorder point of raw materials fish in RM. Ikan Bakar Kinamang during 2017. This research is a descriptive research with qualitative approach. And use case study method. The result of the research shows that the Cost of Fish Raw Material Supplies at Kinamang Fuel Fish Restaurant is still not economical because the purchase (order) is only based on the previous sales estimate, and does not take into account economically the expenses incurred for the purchase and storage of fish raw materials the. Precisely with the calculation of Economic Order Quantity (EOQ), the cost of raw materials inventory of fish is much less, and can determine properly and correctly about the safety stock (safety stock), and reorder (reorder point).Keywords: Inventory Cost, EOQ, Frequency, Safety Stock, ROP

scholarly journals RAW MATERIAL INVENTORY PLANNING OF PATIENT MENU USING MATERIAL REQUIREMENT PLANNING (MRP) IN RSIA KENDANGSARI MERR SURABAYA

2021 ◽  
Vol 31 (1) ◽  
pp. 14
Author(s):  
Dewi Sri
Keyword(s):  
Raw Materials ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Raw Material ◽  
Production Schedule ◽  
Purchase Order ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Master Production Schedule ◽  
Object Of Study

Introduction: Material Requirement Planning (MRP) is a technique or a logical procedure to translate the Master Production Schedule (MPS) of the finished goods or end item into the net requirements for some of the components needed to implement the MPS. MRP is used to determine the amount of material needs to support the Master Production Schedule and when the material needs to be scheduled.Methods: The study is conducted on 13 August 2018 until 12 September 2018 at the installation Nutrition RSIA Kendangsari Merr Surabaya. Collecting data in this study using several methods, including: observation- This stage is conducted in all parts related to the object of study, starting from the Purchase Order (PO) by a head cook up to raw material stored in the storage, discussion- author interviews and collects data to communicate and discuss with the respondents. Respondents in this study are the head of the nutrition unit and head cook of RSIA who have the authority doing the purchasing.Results: Planning of procurement of raw materials to the menu rawon in RSIA can use the Exponential Smoothing method. The discussion has compared two methods of forecasting and the results are consistent with the demand’s patterns of Simple Moving Average method, Exponential Smothing. Forecasting has the lowest error rate by using Exponential Smoothing. The second conclusion is a technique of determining the appropriate Material Requirement Planning in raw material procurement to menu rawon in RSIA is using Lot for Lot.

scholarly journals Penerapan Metode Economical Order Quantity Untuk Sistem Stok Barang Penggudangan dengan menggunakan teknologi Radio Frequency Identification

2017 ◽  
Vol 7 (1) ◽  
pp. 59
Author(s):  
Teddy Istanto
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Raw Materials ◽  
Raw Material ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point ◽  
Material Usage ◽  
Frequency Identification ◽  
Radio Frequency Identification Technology

The application of Economical Order Quantity method to stock warehouse system by using Radio Frequency Identification technology can provide information that can minimize stock availability in real time.  The research aims to develop the stock system using the methods of Economical Order Quantity, Reorder Point and Radio Frequency Identification technology. Computation of Economical Order Quantity is used per month with variables covering amount of raw material, ordering cost and storage cost. Reorder Point computation using lead time variable, raw material usage and safety stock. Safety stock is used if there is a delay in delivery of goods from suppliers, so it does not run out of raw materials and the company can still operate. The inventory data is obtained from transactions of incoming and outgoing goods which are recorded automatically when passing through Radio Frequency Identification reader. The computation of Economical Order Quantity, Reorder Point produces safety stock as output stock system. With the stock of goods in accordance with the fulfillment of Safety stock, then there is no delay in the delivery of goods from suppliers, so it does not run out of raw materials, after determination of the value of re-ordering.

scholarly journals Pengendalian Kualitas Produksi Dengan Metode Six Sigma Pada Industri UMKM Terhadap Jumlah Permintaan Kerudung

2020 ◽  
Vol 5 (1) ◽  
pp. 63
Author(s):  
SOFI NURRIYANTI YANTI ◽  
Mahasin Maulana Ahmad
Keyword(s):  
Six Sigma ◽  
Raw Materials ◽  
Moving Average ◽  
Exponential Smoothing ◽  
The Past ◽  
A Value ◽  
Forecasting Methods ◽  
Research Procedure ◽  
Using Data ◽  
Research Show

Forecasting is a method used to estimate a situation in the future by using data in the past. This study aims to analyze the supply of raw materials using forecasting methods, and determine the amount of demand, determine the causes of defects in production by providing suggestions for improvement in the process of making a veil. The steps of this research procedure are carried out several stages including moving average, exponential smoothing, define, measure, analyze, improve, control. The results of this research show that the defect of hood products is not neat stitching, the fabric used is wrinkled, there are holes in the fabric hood, ink is not suitable for printing, the environment is less conducive so workers are less focused when working. For the results of calculations from six sigma obtained Defect per Million Opportunity value obtained a value of 1916.33 and a sigma value of 4.391.ABSTRAK Peramalan adalah suatu metode yang dilakukan untuk memperkirakan suatu keadaan dimasa yang akan datang  dengan menggunakan data di masa lalu. Penelitian ini bertujuan untuk menganalisis persediaan bahan baku dengan menggunakan metode peramalan, serta menentukan jumlah permintaan kebutuhan, mengetahui penyebab terjadinya cacat pada produksi dengan memberikan usulan perbaikan pada proses pembuatan kerudung. Langkah prosedur penelitian ini dilakukan beberapa tahapan antara lain moving average, exponential smoothing, define, measure, analyze, improve, control. Hasil penelitian yang didapatkan jenis defect produk kerudung antara lain jahitan kurang rapi, kain yang digunakan kusut, terdapat lubang pada kain kerudung, tinta pada warna tidak sesuai saat cetak, lingkungan yang kurang kondusif sehingga pekerja kurang fokus saat bekerja. Untuk hasil dari perhitungan dari six sigma didapatkan nilai Defect per Million Opportunity diperoleh nilai sebesar 1916,33 dan nilai sigma sebesar 4,391.

scholarly journals ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PLAT BESI INDUSTRI KAROSERI MENGGUNAKAN METODE EOQ (Studi Kasus Pada PT. MISITAMA)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Paduloh Paduloh
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Secondary Data ◽  
Raw Material ◽  
Safety Stock ◽  
Total Cost ◽  
Reorder Point ◽  
Material Purchases ◽  
Total Inventory ◽  
Iron Iron

This study aims to analyze the optimal usage volume of iron raw plates required by PT. Misitama for the period of 2017. PT. Misitama is a company engaged in the field of tank manufacturing industry for the needs of manufacturing and mining industries. The study analyzed the total cost of Iron Iron raw material supply which must be used by PT. Misitama during 2017, analyzing reorder point, safety stock and raw material inventory control using EOQ method. The data used is the data of September 2017 - October 2017. The data used is secondary data derived from corporate data. The results show that the amount of raw material purchases during 2017 if using the EOQ method becomes lower. The optimal purchase of raw materials to be done by the company in 2017 is 14.8 m2 with the frequency of ordering to be done as much as 8 times. The quantity of safety stock (Safety Stock) that must be available in warehouse of 7 m2 and reorder point (reorder point) EOQ that is when the warehouse inventory is only 8.88 m2. Total inventory cost for production process issued by PT. Misitama by using EOQ method becomes smaller than the total cost of previous inventory.

scholarly journals Analisis Pengendalian Ketersediaan Bahan Baku Di PT. Akasha Wira Internasional, Tbk Menggunakan Metode EOQ

2020 ◽  
Vol 2 (1) ◽  
pp. 22
Author(s):  
Sandi Wardani ◽  
Sri Rahayuningsih ◽  
Ana Komari
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Optimal Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Reorder Point ◽  
Total Inventory

This study aims to analyze the availability of raw materials at PT. Akasha Wira Internasional Tbk, analyzes the total cost of raw material inventories, analyzes to reorder point raw materials, analyzes the amount of safety stock of raw materials, analyzes raw material inventory control. The analytical method used is the Economic Order Quantity method, which is to find out the optimal order or purchase quantity with the aim of minimizing inventory costs consisting of ordering costs and storage costs. The results showed that the purchase of optimal ades 1500 ML label raw materials according to the Economic Order Quantity method during the 2017 period for each message was greater than what the company did. The optimal purchase of raw materials that must be done by the company in 2017 is 397 m with the frequency of ordering that must be done as much as 2 times. The safety stock quantity that must be available in the warehouse is 480.15 m and the Re Order Point according to the Economic Order Quantity is at the time of the inventory in the warehouse is 512.91 m. The total inventory cost for the production process incurred according to the Economic Order Quantity method is smaller than the total inventory cost incurred by the company. Keywords: Inventory, Raw Materials, Economic Order Quantity  Penelitian ini bertujuan untuk menganalisis ketersediaan bahan baku di PT. Akasha Wira Internasional Tbk, menganalisis total biaya persediaan bahan baku, menganalisis untuk melakukan pemesanan kembali (reorder point) bahan baku, menganalisis jumlah persediaan pengamanan barang  (safety stock) bahan baku, menganalisis pengendalian persediaan bahan baku. Penggunaan pendekatan yaitu metode Economic Order Quantity sebagai cara menyimpan bahan baku untuk ketersediaan biaya pesan dan biaya simpan bahan baku. Data yang diperoleh adalah data primer dan data sekunder. Pada bahan baku  ades 1500 ML tahun 2017 memiliki tingkat pemesanan yang lebih tinggi. Pembelian bahan baku optimal yang harus dilakukan perusahaan pada tahun 2017 adalah sebesar 397 m dengan frekuensi pemesanan yang harus dilakukan adalah sebanyak 2 kali. Kuantitas persediaan pengaman yang harus tersedia digudang adalah sebesar 480,15 m dan titik pemesanan kembali menurut Economic Order Quantity yaitu saat persediaan digudang tinggal 512,91 m. Maka dalam proses produksi menurut EOQ lebih kecil diabnding dengan total pembiayaan dari perusahaan.  Kata Kunci :  Persediaan , Bahan Baku, Economic Order Quantity

scholarly journals Pengendalian Persediaan Bahan Baku Vulkanisir Ban (Studi Kasus: PT. Gunung Pulo Sari)

2016 ◽  
Vol 12 (1) ◽  
pp. 326
Author(s):  
Difana Meilani ◽  
Ryan Eka Saputra
Keyword(s):  
Production Process ◽  
Inventory Management ◽  
Dynamic Method ◽  
Raw Materials ◽  
Minimum Cost ◽  
Raw Material ◽  
Minimum Size ◽  
Safety Stock ◽  
Reorder Point ◽  
Manufacturing Company

The problem of raw materials is the most fundamental issue for a manufacturing company, because the raw material is something that is very important for a production process. Companies must be able to maintain optimal raw material inventory that the production process can run smoothly so as to achieve the production target set by the company and can meet the demand of consumers. PT. Gunung Pulo Sari is one of the manufacturing company engaged in tire retreading. Here there are two types of main raw material of the tire retreading process is the rubber cold rare steak to cook and cook to cook hot rubber. PT. Gunung Sari Pulo do not meet the criteria of good inventory management. So far the company in order raw materials only based on estimates only. We conducted this study in order PT. Gunung Sari Pulo can manage them inventory system by finding the optimum safety stock, determine the total cost of the minimum size of the buyer to use the dynamic method, and the reorder point. Based on the research that has been done then the obtained value of safety stock is 18 units, the total minimum cost is Rp. Rp. 133 991 672, and reordering time (Reorder point) is 93 units.Keywords: Safety Stock, Dynamic Method, Lot Sizing, Reorder Point

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