PENERAPAN METODE DISTRIBUTION REQUIREMENT PLANNING UNTUK MEMINIMASI BIAYA DISTRIBUSI PT SEKELUARGA

2020 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Eko Febrianto ◽  
Zeny Fatimah Hunusalela ◽  
Aliffia Teja Prasasty
Keyword(s):  
Planning Method ◽  
Cost Comparison ◽  
Business Sector ◽  
Order Quantity ◽  
Lot Size ◽  
Safety Stock ◽  
Total Cost ◽  
Distribution Requirement ◽  
Fixed Order ◽  
Distribution Chain

Along with increasingly intense competition in any industry or business sector. Demand companies to use methods in order to win the competition. One of them is by doing fast distribution. PT Sekeluarga is one of the companies that distribution of LPG. PT Sekeluarga still has problems such as the inability to distribute goods according to demand, causing a break in the distribution chain and causing scarcity of LPG that occurs at the lowest distribution level or the community. The study was conducted using the Distribution Requirement Planning (DRP) method in addition to that there are also Lot size calculations with Fixed Order Quantity (FOQ), safety stock calculations, and forecasting. The Total Cost (TC) using the company method is Rp. 14,563,117.00. while the Total Cost (TC) using the Distribution Requirement Planning (DRP) method is Rp. 11,676,354.17. From the results of the Total Cost comparison it is found that the Total Cost with the Distribution Requirement Planning method is cheaper when compared to the company method. And by using the Distribution Requirement Planning method also obtained an efficiency of 19.82%.

scholarly journals Sistem Penjadwalan Distribusi Produk Sepeda Motor Menggunakan Metode Distribution Requirement Planning (DRP) Pada PT. Nusantara Surya Sakti (NSS) Cabang Kefamenanu

SAINTEKBU ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 27-39
Author(s):  
Yoseph Pius Kurniawan Kelen ◽  
Oktovianus R. Sikas
Keyword(s):  
Safety Stock ◽  
Total Cost ◽  
Distribution Requirement ◽  
Multi Level

Distribusi produk sepeda motor di PT. NSS dilakukan atas permintaan konsumen dari setiap wilayah di kabupaten TTU. Distribusi dijalankan secara tidak teratur atau acak, baik dalam distribusi waktu atau kuantitas. Aktifitas kegiatan mempengaruhi distribusi total biaya persediaan yang dikeluarkan perusahaan dalam pengadaan persediaan. Oleh karena itu perusahaan perlu memperhatikan aplikasi sistem distribusi kegiatan untuk mengoptimalkan distribusi jadwal pengiriman produk sepeda motor untuk menjaga waktu dan efisiensi biaya. Distribution Requirement Planning (DRP) adalah metode untuk menangani pengadaan persediaan dalam jaringan distribusi multi-level. Metode DRP berhubungan dengan ukuran lot pemesanan dan jumlah persediaan pengaman. Metode DRP mengurangi total biaya persediaan dan distribusi frekuensi kegiatan dengan menentukan distribusi penjadwalan yang efektif dengan pertimbangan bahwa distribusi dilakukan sesuai ukuran lot atau kelipatannya dan jumlah stok pengaman yang diperlukan. Hasil penelitian, sistem distribusi dan penjadwalan pengiriman produk sepeda motor pada PT. NSS Cabang Kefamenanu tahun 2016 didapatkan perencanaan distribusi dengan metode DRP lebih kecil bila dibandingkan dengan metode perusahaan. Total Cost (TC) dengan metode perusahaan adalah sebesar Rp. 233.391.197,00 dan Total Cost (TC) dengan metode DRP adalah sebesar Rp. 218.460.000,00 . Sehingga terjadi penurunan sebesar 6,4%.     Kata kunci: Distribusi, Distribusi Multi Level, Perencanaan Kebutuhan Distribusi Requirement Planning (DRP), Ukuran Lot, Safety Stock.  

scholarly journals The Controlling of Raw Materials Inventory using Material Requirement Planning Method in PT Anugrah Mandiri

2020 ◽  
Vol 9 (2) ◽  
pp. 830-835
Keyword(s):  
Quantitative Research ◽  
Lot Sizing ◽  
Raw Materials ◽  
Planning Method ◽  
Raw Material ◽  
Order Quantity ◽  
Cross Sectional ◽  
Total Cost ◽  
Material Requirement Planning ◽  
Material Requirement

The purpose of this study is to determine the most appropriate forecasting to predict the demand for raw materials of laundry in 2017, determine the results of the Material Requirement Planning calculation using lot permits, and to determine the total cost-efficiency of the conventional calculation method with the Material Requirement Planning method. The research method used is quantitative research, descriptive research type, and time horizon is cross-sectional for all data collection. This study uses Exponential smoothing (QM for Windows) forecasting, as an illustration, to determine the number of raw material requirements by using the analysis method, Material Requirement Planning with lot sizing measurements used are Lot for Lot, Economic Order Quantity, and Period Order Quantity. Of the three methods, the analysis results illustrate that the Lot for Lot method produces the lowest total cost of IDR. 56,160,000, compared to the total costs incurred using the company's conventional method of IDR. 175,985,288,2, So, the Material Requirement Planning method can reduce the company's inventory costs

Perencanaan Persediaan Bahan Baku pada UMK Tiga Bersaudara Kota Kupang dengan Metode Economic Order Quantity (EOQ)

2021 ◽  
Vol 1 (2) ◽  
pp. 61-75
Author(s):  
Seprianto E. Haobenu ◽  
◽  
Antonio E. L. Nyoko ◽  
Aldarine Molidya ◽  
Rolland E. Fanggidae ◽  
...  
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Planning ◽  
Safety Stock ◽  
Total Cost ◽  
Analysis Technique ◽  
Corn Products

Abstract Abstract Purpose: This research is a form of raw material inventory planning using the Economic Order Quantity (EOQ) method for fried corn products at UMK Tiga Bersaudara Kupang City. Research Methodology: This research method used a quantitative approach. The data analysis technique used is forecasting, EOQ, and Safety Stock. Results: The outcome of this study is the creation of a raw material inventory that can be applied by the UMK Tiga Bersaudara in carrying out its production. The number of orders for raw materials has also been identified using the EOQ method. To avoid shortages of raw materials, a calculation of how much safety stock is needed in the next period has also been calculated. Limitation: This calculation is predictive so that the reality in the field can change in the future. Contribution: Companies are advised to plan raw material inventory using the methods used in this study, namely forecasting, EOQ, SS, and calculating the total cost of inventory.

Innovative Distribution Company: A Total Cost Approach to Understanding Supply Chain Risk

2018 ◽  
pp. 1-9
Author(s):  
Ted Farris ◽  
Ila Manuj
Keyword(s):  
Supply Chains ◽  
Economic Order Quantity ◽  
Purchase Price ◽  
Order Quantity ◽  
Supply Chain Risk ◽  
Total Cost Of Ownership ◽  
Safety Stock ◽  
Total Cost ◽  
Cost Of Ownership ◽  
Distribution Company

This case illustrates the use of the total cost of ownership concept to analyse and compare two supply chains – one international and one domestic. The case provides an opportunity to calculate economic order quantity and safety stock quantities and then combine purchase price, shipping costs, and inventory carrying costs to quantify the differences between the two supply chains.

scholarly journals Implementation of inventory management in footwear industry

2021 ◽  
Vol 14 (2) ◽  
pp. 360
Author(s):  
Jeferson Conceição ◽  
José De Souza ◽  
Elton Gimenez Rossini ◽  
Alfonso Risso ◽  
Alexandre Beluco
Keyword(s):  
Inventory Management ◽  
Demand Forecasting ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Lot Size ◽  
Safety Stock ◽  
Forecasting Method ◽  
Abc Analysis ◽  
The Moment

Purpose: The objective of this research was to implement new inventory management in a footwear company through the analysis of indicators obtained from inventory data collection.Design/methodology/approach: The methods of ABC analysis, demand forecasting, safety stock, reorder point and economic order quantity were applied. The items in inventory were classified by order of financial importance through ABC analysis, and the proposed indicators were analyzed to determine the moment the inventory replenishment should be carried out as well as the purchase lot size for each item. The research also analyzed the behavior of the demand and pointed out the demand forecasting method that came closest to reality.Findings: The study presents a method of implementing inventory management based on indicators derived from the application of ABC curve methods, demand forecasting, safety stock, re-fulfillment point, and economic purchased lot. It also indicates how the ABC classification of stocks can be used to check the most representative materials in stock. The study also highlights that the rejection of modifications can be surpassed by obtaining favorable results.Research limitations/implications: The inventory management applied in this work is based on indicators that resulted in two main data which were able to define the size of the purchase lot to be ordered and the amount of material needed.Practical implications: The methods of ABC analysis, demand forecasting, safety stock, reorder point and economic order quantity were applied. The items in inventory were classified by order of financial importance through ABC analysis, and the proposed indicators were analyzed to determine the moment the inventory replenishment should be carried out as well as the purchase lot size for each item. The research also analyzed the behavior of the demand and pointed out the demand forecasting method that came closest to reality.Originality/value: In this study, a method applied is presented, highlighting the importance of the methodological application for the implementation of inventory management. The study contributes to the encouragement and adoption of methodologies to improve analysis and inventory management in companies.

scholarly journals Pengendalian Persediaan Barang Dagang Menggunakan Model Probabilistik (Studi Kasus: Toko XYZ) Merchandise Inventory Control Using Probabilistic Model (Case Study : XYZ Store)

2020 ◽  
Vol 18 (1) ◽  
pp. 87
Author(s):  
Dewi Diniaty
Keyword(s):  
Probabilistic Model ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Economic Order ◽  
Order Quantity ◽  
Review System ◽  
Model Case ◽  
Safety Stock ◽  
Total Cost ◽  
Cooking Oil

Abstrak Toko XYZ adalah toko sembako dengan komoditi barang dagangnya yaitu beras, gula, minyak goreng, dan tepung. Permasalahan yang dihadapi adalah permintaan konsumen yang berfluktuasi dan lead time barang dagang yang tidak pasti, sehingga menyebabkan kekurangan persediaan yang berpengaruh kepada pelayanan terhadap konsumen. Tujuan dari penelitian ini menentukan  safety stock yang optimal dengan perencanaan persediaan dan mengetahui ongkos persediaan yang optimal dan kapan waktu pemesanan kembali yang ekonomis dengan menggunakan EOQ model probabilistik. Metode peramalan yang digunakan yaitu Weight Moving Average dan Exponential Smoothing, kemudian dilakukan perhitungan EOQ Probabilistik. Hasil Safety Stock optimal pada beras 22 karung, kuantitas pemesanan 224 karung dan total ongkos persediaan Rp. 368.671.032/tahun. Untuk gula 6 karung, kuantitas pemesanan 92 karung dan total ongkos persediaan Rp. 254.573.746/tahun. Untuk minyak goreng sebesar 15 jerigen, kuantitas pemesanan 120 jerigen dan total ongkos persediaan Rp. 125.072.163/tahun. Untuk tepung 18 karung kuantitas pemesanan 123 karung dan total ongkos persediaan sebesar Rp. 125.909.965/tahun.Kata kunci: Continuos Review System, Economic Order Quality Probabilistik, Inventory, Weight Moving Average Exponential Smoothing. Abstract XYZ Store is groceries shop with merchandise commodities, namely rice, sugar, cooking oil, and flour. The problems faced are fluctuating consumer demand and uncertain lead times for merchandise, causing inventory shortages that affect the service to consumers. The purpose of this study is to determine the optimal safety stock with inventory planning and find out the optimal inventory costs and when to reorder economically using the EOQ probabilistic model. Forecasting method using the Weight Moving Average and Exponential Smoothing methods, then the Probabilistic EOQ calculation is performed. The optimal safety stock for rice merchandise is 22 sacks, order quantity of 224 sacks and the total cost inventory is Rp. 368,671,032/year. For sugar is 6 jerry cans, order quantity of 92 sacks and total cost of inventory is Rp. 254,573,746/year. For cooking oil is 15 jerry cans, order quantity of 120 sacks and total cost of inventory is Rp. 125,072,163/year. For flour is 18 jerry, order quantity of 123 sacks and total cost of inventory is Rp. 125,909,965/year.Keywords: Continuos Review System, Economic Order Quality Probabilistic, Inventory, Weight Moving Average Exponential Smoothing

scholarly journals ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN MENUNJANG KEEFEKTIFITASAN PROSES PRODUKSI MEUBELAIR PADA PERUSAHAAN UD. JAYA ABADI PUTRA KEDUNGPRING LAMONGAN

2021 ◽  
Vol 13 (1) ◽  
pp. 49-61
Author(s):  
Sandi Julianto
Keyword(s):  
Optimal Number ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock ◽  
Total Cost ◽  
Purchase Frequency ◽  
Company Policy ◽  
A Company

: This research to determine the policy of controlling raw material inventory in a company if it uses the Economic Order Quantity (EOQ) method with current company policy. The data used in the form of data about the main raw material needs and the costs incurred in ordering and storing during 2017-2019. Data collection techniques by examining company documents. The research method used is descriptive discussion that is to make a systematic picture using the object under study. The results of the analysis are known to control raw material inventory at UD. Jaya Abadi Putra Kedungpring Lamongan can be concluded as follows (1) The optimal number of raw material inventory purchases using the economic order quantity method in 2017 is 176.93 m3 with a purchase frequency of 16 times, in 2018 amounting to 170.58 m3 with purchase frequency 16 times, in 2019 is 165.72 m3 with a purchase frequency of 16 times. And the total cost of raw material inventory of the company in the calculation of economic order quantity in 2017 is Rp. 962,606.69 in 2018 amounting to Rp. 1,063,484.4, in 2019 amounting to Rp. 1,112,250,3. (2). Safety stock / Safety Stock according to the results of the calculation of economic order quantity in 2017 is 29 m3, in 2018 is 24.33 m3, in 2019 is 19.84. Reorder points according to the calculation of economic order quantity in 2017 amounted to 57.14 m3, in 2018 amounted to 52.23 m3, in 2019 amounted to 46.96 m3.

EOQ Model with Controllable Lead Time, Setup Cost and Backordering Rate

2011 ◽  
Vol 204-210 ◽  
pp. 464-469 ◽  
Author(s):  
Bo Huang ◽  
Wei Dong Meng ◽  
Yu Yu Li
Keyword(s):  
Lead Time ◽  
Optimal Solution ◽  
General Distribution ◽  
Inventory Level ◽  
Order Quantity ◽  
Setup Cost ◽  
Safety Stock ◽  
Total Cost ◽  
Eoq Model ◽  
Controllable Lead Time

This paper developed an EOQ model, in which the demand follows a general distribution, under the assumption that lead time can be shortened and setup cost can be reduced by added investment, and backorder rate depends on inventory level and price discount in the period of shortage. We proved the existence and uniqueness of optimal solution and proposed an algorithm searching for it. We find that order quantity, safety stock and inventory total cost can be normally reduced by shortening lead time and reducing setup cost, furthermore, backordering parameter and probability of shortage have a great impact on inventory total cost, so an enterprise should do its best to reduce probability of shortage, especially when backordering parameter is small.

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.

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