scholarly journals Imperfect economic production quantity model with upstream trade credit periods linked to raw material order quantity and downstream trade credit periods

2016 ◽  
Vol 40 (19-20) ◽  
pp. 8777-8793 ◽  
Author(s):  
Ata Allah Taleizadeh ◽  
Mohsen Lashgari ◽  
Roshanak Akram ◽  
Jafar Heydari
Keyword(s):  
Trade Credit ◽  
Raw Material ◽  
Order Quantity ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity

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
Keyword(s):  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Control Analysis ◽  
Order Quantity ◽  
Optimal Cost ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Optimum Production

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)

Two Heuristics for the Basic EOQ and EPQ with Partial Backordering

2014 ◽  
Vol 7 (4) ◽  
pp. 31-49 ◽  
Author(s):  
David W. Pentico ◽  
Carl Toews ◽  
Matthew J. Drake
Keyword(s):  
Critical Value ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Situational Characteristics ◽  
Decision Variables ◽  
Partial Backordering ◽  
Production Quantity

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.

scholarly journals The Fuzzy Economic Order Quantity Problem with a Finite Production Rate and Backorders

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Kaj-Mikael Björk
Keyword(s):  
Fuzzy Numbers ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Economic Production Quantity ◽  
Eoq Models ◽  
Economic Production ◽  
Epq Model ◽  
Production Quantity ◽  
Industrial Context

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.

scholarly journals Penerapan Metode EPQ(Economic Production Quantity) Pada Pengendalian Bahan Baku Laundry Di Samarinda Laundry Mart Barbasis Android

2020 ◽  
Vol 22 (1) ◽  
pp. 64-72
Author(s):  
Hanifah Ekawati ◽  
Pitrasacha Adytia ◽  
Yunita Yunita
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Optimal Time ◽  
Optimal Production ◽  
Inventory Costs ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Total Inventory ◽  
Production Frequency

Samarinda Laundry Mart is a business that provides laundry services, besides that it is also a supplier of laundry raw materials in Samarinda. Control of laundry raw materials in the laundry business is a complicated problem. Therefore one method that can be used for raw material control is the EPQ method (Economic Production Quantity) where the EPQ method can determine the optimal production level, optimal production frequency, optimal time cycle to minimize total inventory costs. The results of this study are made inventory control applications using the EPQ method that can make calculations automatically. Only by entering monthly data that is already available. Users can also make transactions using the application so that all data has been integrated in the database to facilitate management in the laundry business. In addition, this application can also print transaction reports and turnover reports.

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