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.

scholarly journals Analisis Persediaan Produk Gula Rafinasi Menggunakan Metode Economic Production Quantity

2021 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Edo Rantou Wijaya ◽  
Titania Titania
Keyword(s):  
Production Cycle ◽  
Time Interval ◽  
Inventory Cost ◽  
Production Time ◽  
Optimal Production ◽  
Inventory Costs ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Total Inventory

Overload is a condition where the goods stored in the warehouse exceed the existing capacity. With the accumulation, it will increase the storage cost for the products/goods stored. The purpose of this research was to help companies determine the optimal amount of production, optimal production time intervals and maximum product inventory so that there is no excess stock of products in the warehouse, and to obtain a minimum total inventory cost by using the Economic Production Quantity (EPQ) model. To collect the data needed in this study, secondary data was used which consists of production data and product delivery of company X. From the research results, the optimal production rate (Q*) is 13,646 MT/production cycle with an optimal production time interval of 1.16 months. or equal to 35 days, the maximum amount of inventory (Imax) was 429 MT. The total minimum inventory cost in one production cycle/month is Rp.167,925,698.28, -. The difference in total inventory costs generated using the EPQ method and calculations based on company conditions is 9% or equivalent to Rp.16,538,501, -. Based on the results of the sensitivity analysis it was known that all parameters are sensitive to Q*, Imax, and total inventory costs. However, a significant change is the parameter of saving costs, where the increase and decrease in saving costs will decrease and increase Q*, Imax, and the total cost of inventory.

Using of EOQ and EPQ Methods in Minimizing Inventory Cost of Crude Palm Oil

2020 ◽  
Vol 4 (1) ◽  
pp. 36
Author(s):  
Linda Kumala Sari ◽  
Sajaratud Dur ◽  
Ismail Husein
Keyword(s):  
Palm Oil ◽  
Crude Palm Oil ◽  
Inventory Cost ◽  
Inventory Costs ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Total Inventory ◽  
The Difference ◽  
The Cost

<span lang="EN-US">Excess or lack of inventory that is too large is a problem that can trigger increased costs so that companies do not get the benefits they should. The purpose of this study is to minimize the cost of inventories of crude palm oil using the EOQ (Economic Order Quantity) method and EPQ (Economic Production Quantity) methods at PT. Perkebunan Nusantara IV (Persero) Medan. From the results it is known that economic orders according to the EOQ method in 2017 amounted to 2.741,222 tons and in 2018 amounted to 2.825,927 tons. The difference in total inventory costs generated using the EOQ method and company conditions in 2017 amounted to Rp71.605.439.976,17 and in 2018 amounting to Rp60.884.174.907,3. The optimal amount of production (EPQ) in 2017 and 2018 was 146.226,147 tons. The difference in total inventory costs generated using the EPQ method and the condition of the company in 2017 and 2018 amounted to Rp102.771.704.121,63.</span>

scholarly journals MATERIAL REQUIREMENT PLANNING UNTUK MEMENUHI PRODUKSI PADA CV. BANGUN CIPTA ARTHA DI BADUNG

2020 ◽  
Vol 9 (2) ◽  
pp. 426
Author(s):  
I Made Sugita Yasa ◽  
Kastawan Mandala
Keyword(s):  
Inventory Management ◽  
Lot Sizing ◽  
Raw Materials ◽  
Raw Material ◽  
Exact Order ◽  
Lot Size ◽  
Inventory Costs ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Total Inventory

Inventory management without Material Requirement systems in CV. Bangun Cipta Artha resulted in the lot size for each order of raw materials not optimal. One concept that can be used to plan and control raw materials is the Material Requirement Planning. This study is to determine the number of sizes of raw material orders, the exact order time, the method that produces the lowest cost for each raw material, and the effect of using MRP on inventory costs. This research conducted on 160x200cm spring bed products. Data was analyzed by making production master schedules, determining net requirements, determining lot size, and making MRP tables. Based on the results, the determination the best lot sizing is the order quantiy period which results in a total inventory cost of Rp. 26,475,220 where the total cost is lower, compared to lot for lot method which Rp. 43,464,000. part period balancing Rp. 33,106,576, and conventional method Rp.49,472,912. Keywords: Material Requirement Planning (MRP), Sizing Lot, Lot For Lot, Balancing Part Period, Period Order Quantiy

scholarly journals PENDAPATAN USAHA DAN PERSEDIAAN BAHAN BAKU INDUSTRI BAWANG GORENG (Studi Kasus Industri Bawang Goreng “Uda Saprudin”)

2020 ◽  
Vol 13 (2) ◽  
pp. 8-17
Author(s):  
Herlena Bidi Astuti ◽  
Yesmawati Y ◽  
Linda Harta ◽  
Reswita R
Keyword(s):  
Lead Time ◽  
Raw Materials ◽  
Raw Material ◽  
Added Value ◽  
Operating Income ◽  
Inventory Costs ◽  
The Past ◽  
Total Inventory ◽  
C Value

Processing shallots into fried onions is one of the agro-industry businesses with the main raw material of shallots. The fried onion home industry is a downstreaming of agricultural commodities by providing added value from the raw materials of shallots, in the process of production competition the industry must conduct management that will produce raw materials to ensure obtaining products. The purpose of this study was to determine the operating income of fried onions and determine the management of raw materials in the "Uda Saprudin" fried onion industry in Bengkulu City. The method used in this study is the calculation of income, R / C ratio, and management of raw materials using EOQ, Safety Stock, Reorder Points, lead time and total inventory costs. This research is a case study conducted in February 2019 with the data used is the data of the past year (2018). From the research results obtained R / C value of 1.36 and the management of raw material requirements recognized EOQ value: 6.546 Kg, Reorder Point value: 6.329 Kg / Month, lead time: 0.5 months and Total inventory costs: Rp. 163,676,047 per year.

scholarly journals Production inventory model with disruption considering shortage and time proportional demand

2018 ◽  
Vol 28 (1) ◽  
pp. 123-139 ◽  
Author(s):  
U.K. Khedlekar ◽  
A. Namdeo ◽  
A. Nigwal
Keyword(s):  
Simulation Study ◽  
Optimization Method ◽  
Political Issue ◽  
Optimal Production ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Proposed Model ◽  
Production Inventory ◽  
Before And After ◽  
Production Quantity

The disruption in a production system occurs due to labor problem, machines breakdown, strikes, political issue, and weather disturbance, etc. This leads to delay in the supply of the products, resulting customer to approach other dealers for the products. This paper is an attempt to develop an economic production quantity model using optimization method for deteriorating items with production disruption. We obtained optimal production time before and after the system gets disrupted. We have also devised the model for optimizing the shortage of the products. This research is useful to determine the time for start and stop of the production when system gets disrupted. The optimal production and inventory plan are provided, so that the manufacturer can reduce the loss occurred due to disruption. Finally a graph based simulation study has been given to illustrate the proposed model.

scholarly journals Ordering Size Optimization of Raw Material to Minimize Inventory Costs using Wagner-Within Algorithm and Silver-Meal Methods

2021 ◽  
Vol 328 ◽  
pp. 05002
Author(s):  
Dira Ernawati ◽  
Sinta Dewi ◽  
Ni Ketut Sari ◽  
Kurniawan Budianto
Keyword(s):  
Control Method ◽  
Lot Sizing ◽  
Raw Materials ◽  
Cost Savings ◽  
Raw Material ◽  
Inventory Cost ◽  
Cost Overruns ◽  
Inventory Costs ◽  
Total Inventory ◽  
Abc Method

Inventory is one of the current assets that can be classified as company assets. But in reality, inventory often turns into an operational problem that can affect the company's overall performance. This problem occurs due to the incorrect determination of the amount of inventory. Both excess and shortage of inventory can lead to cost overruns. This study applies the Wagner Whitin Algorithm and the Silver-Meal method in the lot-sizing process and the ABC (Always Better Control) method in determining the classification of raw materials at PT. X. Using the ABC method, it is known that the ADC-12 Ingot item has a very significant effect to inventory. Inventory optimization using the Wagner Whitin Algorithm and the Silver-Meal method resulted in the optimal frequency of ordering ADC-12 Ingots is 9 times and the total inventory cost is 994,098,000 IDR as well as inventory cost savings of around 18,403,180 IDR or 1.8% of the cost of existing inventory.

Optimalisasi Persediaan Bahan Baku Keripik Kentang Dengan Metode Economic Order Quantity (Studi Kasus Di Agronas Gizi Food)

2019 ◽  
Vol 6 (01) ◽  
pp. 68-76
Author(s):  
Stefani Natalia Dinda Advenia ◽  
Maria Puri Nurani ◽  
Kukuk Yudiono
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Safety Stock ◽  
Inventory Costs ◽  
Material Supply ◽  
Analysis Technique ◽  
Company Policy ◽  
Total Inventory ◽  
Supply Costs ◽  
The Cost

The optimalization of raw materials supply is intended to meet the needs of raw materials for the process of the production process the future; the activity of controlling raw materials manages the implementation of necessary supply in accordance with the required amount and minimal cost, which includes the problem of purchasing raw materials, storing and maintaining materials, controlling the output of the material when materials are needed and maintaining the optimal supply amount. The raw material supply control can be analyzed using the EOQ method as one of the choices in comparing the implemented company policies. This research was conducted at Agronas Gizi Food. The analysis technique used is by comparing the results of company policy calculation and the EOQ method. The calculation of company policy includes the cost of ordering  (S) with the results of Rp. 183,800 / order, supply costs (H) with a result of Rp.859 / Kg, total inventory costs (TIC) that must be spent Rp.5,689,560, the frequency of purchase 30 times, with an average purchase of 1500 kg / year while the calculation method EOQ includes economical purchases (Q*) with results of 4198 kg, frequency of purchases (F) with the result 10 times a year, total inventory costs (TIC) with the result of Rp.3,605,795, safety stock Rp.3,605,795, and ROP 234 Kg. Based on the analysis technique on raw material for potato chips in Agronas Gizi Food, it can be concluded that it is not optimal because the calculation the results of company policies are greater than the EOQ method.

scholarly journals An EPQ Model with Unit Production Cost and Set-Up Cost as Functions of Production Rate

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Behrouz Afshar-Nadjafi
Keyword(s):  
Production Rate ◽  
Production Cost ◽  
Continuous Functions ◽  
Optimal Production ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Epq Model ◽  
Production Quantity ◽  
Set Up ◽  
The Cost

Extensive research has been devoted to economic production quantity (EPQ) problem. However, no attention has been paid to problems where unit production and set-up costs must be considered as functions of production rate. In this paper, we address the problem of determining the optimal production quantity and rate of production in which unit production and set-up costs are assumed to be continuous functions of production rate. Based on the traditional economic production quantity (EPQ) formula, the cost function associated with this model is proved to be nonconvex and a procedure is proposed to solve this problem. Finally, utility of the model is presented using some numerical examples and the results are analyzed.

Sign in / Sign up

Export Citation Format

Share Document