scholarly journals ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU BUNGA KRANS PADA USAHA BUNGA PLASTIK DENGAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY DAN METODE ECONOMIC PRODUCTION QUANTITY

2017 ◽  
Vol 17 (2) ◽  
pp. 89
Author(s):  
Yulin Tipaka ◽  
Marline Paendong ◽  
Charles Mongi

ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU BUNGA KRANS PADA USAHA BUNGA PLASTIK DENGAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY DAN METODE ECONOMIC PRODUCTION QUANTITYABSTRAK Bunga Krans merupakan suatu karangan bunga berbentuk lonjong dan sebagainya untuk ucapan duka cita. Dalam usaha ini tidak sedikit permasalahan tentang meminimumkan biaya dengan mengendalikan prersediaan bahan baku. Tujuan penelitian ini yaitu untuk menentukan jumlah pemesanan ekonomis menggunakan metode Economic Order Quantity (EOQ) dan produksi optimal menggunakan metode Economic Produciton Quantity (EPQ) serta menentukan total persediaan minimum menurut EOQ dan EPQ. Dimana penelitian ini dilakukan pada bulan Februari 2017 hingga April 2017 di perusahaan Kembang Lineke, Girian, Bitung. Dengan variabel yang digunakan yaitu volume kebutuhan bahan baku, volume penyaluran bahan baku, biaya pemesanan bahan baku dan biaya penyimpanan bahan baku. Dari hasil dapat diketahui bahwa pemesanan  ekonomis menurut metode EOQ untuk masing-masing jenis bunga K5, K6 dan K10 yaitu 205,88 lusin, 220,09 lusin dan 266,96 lusin dengan biaya optimal semua jenis bunga sebesar Rp. 125.476.400 sedangkan produksi optimal menurut metode EPQ untuk jenis bunga K5, K6 dan K10 masing-masing sebesar 206,16 lusin, 220,4 lusin dan 267,32 lusin dengan biaya optimal untuk semua jenis bunga sebesar Rp. 125.336.630. Kata Kunci:  Bunga Krans,   Economic Order Quantity (EOQ),  Economic Production Quantity (EPQ) RAW MATERIAL INVENTORY CONTROL ANALYSIS OF FUNERAL WREATH ON PLASTIC FLOWER BUSINESS USING ECONOMIC ORDER QUANTITY METHOD AND ECONOMIC PRODUCTION QUANTITY METHODABSTRACT           Funeral wreath is an oval-shaped bouquet or so on used for show greeting or grieving. In this business there are not only a few problems about minimizing costs by controlling raw material inventory. The purpose of this research is to determine the amount of economic order using Economic Order Quantity (EOQ) method and optimum production using Economic Production Quantity (EPQ) method, also to determine the total minimum inventory according to those methods. Where this research was conducted in February 2017 until April 2017 at company Flower Lineke, Girian, Bitung. With variables used are the volume of raw material demand, the volume of raw material distribution, ordering cost and holding cost. From the results it can be seen that economical order according to EOQ method for each type of interest K5, K6 and K10 is 205,88 dozen, 220,09 dozen and 266,96 dozen with optimal cost of all type of interest equal to rp.125,476,400 while the optimum production according to EPQ method for k5, k6, k10, respectively for 206,16 dozen 220,4 dozen and 267,32 dozen with optimal cost for all kinds of interest Rp. 125.336.630. Keywords:  Funeral Wreath,   Economic Order Quantity (EOQ),   Economic Production Quantity (EPQ)

Author(s):  
David W. Pentico ◽  
Carl Toews ◽  
Matthew J. Drake

This paper describes two heuristics for the basic economic order quantity and economic production quantity with partial backordering that use the time between orders and the percentage of demand filled from stock as the decision variables. Tests of the heuristics on a set of problems generated by using different values for six situational characteristics indicate that both heuristics should perform well as long as the critical value of the backordering rate is positive and very well if it is at least 0.50.


2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Kaj-Mikael Björk

The track of developing Economic Order Quantity (EOQ) models with uncertainties described as fuzzy numbers has been very lucrative. In this paper, a fuzzy Economic Production Quantity (EPQ) model is developed to address a specific problem in a theoretical setting. Not only is the production time finite, but also backorders are allowed. The uncertainties, in the industrial context, come from the fact that the production availability is uncertain as well as the demand. These uncertainties will be handled with fuzzy numbers and the analytical solution to the optimization problem will be obtained. A theoretical example from the process industry is also given to illustrate the new model.


Author(s):  
Masad Hariyadi ◽  
Boy Isma Putra

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.


2018 ◽  
Vol 1 (01) ◽  
pp. 41
Author(s):  
Wartoyo Hadi

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.


2017 ◽  
Vol 13 (3A) ◽  
pp. 251
Author(s):  
Megawati ., Sengkeunaung ◽  
Tommy F. Lolowang ◽  
Nordy F.L. Waney

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.


JUMINTEN ◽  
2020 ◽  
Vol 1 (4) ◽  
pp. 163-172
Author(s):  
Vify Elviana ◽  
Akmal Suryadi

Persediaan merupakan aset perusahaan yang memiliki peran penting dalam operasi bisnis, sehingga perusahaan penting untuk melakukan manajemen persediaan yang baik, artinya perusahaan harus mampu mengantisipasi kendala maupun tantangan yang ada dalam pengelolahan persediaan untuk meminimalisasi total biaya yang harus dikeluarkan oleh perusahaan. Permasalahan yang timbul pada persediaan bahan baku di PT XYZ adalah perusahaan melakukan perencanaan dan pengendalian bahan baku hanya berdasarkan pada pengalaman-pengalaman sebelumnya dan tidak berdasarkan pada metode yang sudah baku. Oleh karena itu pembelian bahan baku tidak sesuai dengan permintaan konsumen. Hal tersebut sering menyebabkan terjadinya kelebihan maupun kekurangan stok bahan baku. Kesalahan dalam penentuan besarnya investasi dalam persediaan akan mengurangi keuntungan perusahaan. Adanya persediaan bahan baku yang terlalu besar, akan menambah beban biaya pemeliharaan dan penyimpanan dalam gudang, serta kemungkinan terjadinya penurunan kualitas bahan baku yang dapat menyebabkan berkurangnya keuntungan perusahaan. Namun jika persediaan bahan baku terlalu sedikit maka akan berakibat pada terhambatnya proses produksi, sehingga tidak terpenuhinya permintaan konsumen. Hasil penelitian ini dapat menyimpulkan bahwa perencanaan kebutuhan bahan baku dengan metode perusahaan didapatkan total cost sebesar Rp 1.796.762.429,-, sedangkan metode Material Requirements Planning (MRP) didapatkan total cost sebesar Rp 1.576.011.801,-. Maka dapat disimpulkan telah terjadi penurunan total cost seluruh bahan baku sebesar 12,28%. Hal ini membuktikan bahwa metode Material Requirements Planning (MRP) lebih efisien daripada metode PT. XYZ. Oleh karena itu untuk mendapatkan total cost yang minimum, metode Material Requirements Planning (MRP) diterapkan pada periode Februari-Juni 2020 sehingga didapatkan total cost sebesar Rp 1.576.011.801,-. Kata Kunci:         Material Requirements Planning (MRP), PT XYZ, Pail Cat, Economic Order Quantity (EOQ), Period Order Quantity (POQ), Lot For Lot (LFL). ABSTRACT                     Inventory is a company asset that has an important role in business operations, so the company is important to conduct good inventory management, meaning that the company must be able to anticipate obstacles and challenges that exist in managing inventory to minimize the total cost to be incurred by the company.The problem that arises in the supply of raw materials in PT XYZ is that the company plans and controls raw materials based only on previous experiences and not based on established methods. Therefore, the purchase of raw materials is not in accordance with consumer demand. This often leads to excess or shortage of raw material stock. Mistakes in determining the amount of investment in inventories will reduce company profits. The availability of raw materials that are too large, will add to the burden of maintenance and storage costs in the warehouse, as well as the possibility of a decline in the quality of raw materials that can lead to reduced company profits. However, if the supply of raw materials is too little, it will result in obstruction of the production process, so that consumer demand is not fulfilled. The results of this study can conclude that the planning of raw material needs by the company method obtained a total cost of Rp 1,796,762,429, - while the Material Requirements Planning (MRP) method obtained a total cost of Rp 1,576,011,801, -. Then it can be concluded that there has been a decrease in the total cost of all raw materials by 12.28%. This proves that the Material Requirements Planning (MRP) method is more efficient than the PT. XYZ. Therefore, to get the minimum total cost, the Material Requirements Planning (MRP) method was applied in the February-June 2020 period so that a total cost of Rp 1,576,011,801 was obtained.   KeyWords: Material Requirements Planning (MRP), PT XYZ, Pail Cat, Economic Order Quantity (EOQ), Period Order Quantity (POQ), Lot for Lot (LFL).


2021 ◽  
Vol 5 (1) ◽  
pp. 215
Author(s):  
Arga Sutrisna ◽  
Rizki Ginanjar ◽  
Suci Putri Lestari

This research objectives aims to determine and analyze raw material inventory control, the ideal raw material inventory that the company must provide and the efficiency of production costs carried out by Jatisri Furniture Work in Tasikmalaya for the period 2018.11 – 2020.02. The data collection method in this study is by direct observation at Jatisari Furniture Work in Tasikmalaya. Using techniques such us interviews, observation, and documentation. These observations were made in production reports for the years 2018 – 2020. The analysis tool was carried out using the Economic Order Quantity (EOQ) method such us safety stock, reorder point, and total inventory cost. The result of the Economic Order Quantity (EOQ) analysis show that the total cost of raw the material inventory that must be incurred by the company is greater than the total cost of inventories calculated according to the EOQ method. Companies should follow the calculations from the EOQ method so that they can save on raw material inventory costs, so that production costs are more efficient.


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