scholarly journals KUANTITAS PEMESANAN EKONOMIS BAHAN BAKU TEPUNG PADA USAHA ROTI SURYA BAKERY KOTA BANGKULU

2019 ◽  
Vol 12 (1) ◽  
pp. 124-140
Author(s):  
Virda Palupi ◽  
Trisna Murni ◽  
Syamsul Bachri ◽  
Sri Warsono

This study aimed to analyze the Economic order quantity level of raw material wheat flour for Surya Bakery and the quantity level of Re-order Point. The design of study was descriptive qualitative. The study used secondary data in order to gain the information about purchasing of raw material of flour. The data analyzed by quantitative method which used Economic Order Quantity (EOQ) method and Re-order Point. The result shows that EOQ in Usaha Roti Surya Bakery is 4.266 kg with frequency of ordering raw material is 22 times. Wher eas re-order point of the raw material when inventory reach 1.068 kg with lead time are 4 days. Before using EOQ method, the frequency of ordering raw material of flour is 36 times per year. After using EOQ method, it is found the frequency of ordering raw material of flour is 22 times per year. So that, after using EOQ method, the result of ordering cost was Rp. 2.668.00,- carrying cost was Rp. 2.615.000,-, and total cost of raw material was Rp. 5.283.000,-. Therefore, the Surya-Bakery could save money for Rp 533.000 per year.

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.


2016 ◽  
Vol 12 (2A) ◽  
pp. 251
Author(s):  
Antonius ., Anny ◽  
Agnes Estephina Loho ◽  
Tommy Ferdy Lolowang

This study aimed to analyze the level of raw material inventory coconut optimal in order to minimize the total cost of inventory during 2015 on coconut flour mill PT. Dimembe Nyiur Agripro (DNA). This research was conducted in April 2016 to June 2016, from preparation to preparation of the report. The data used is data Primary and Secondary Data. This research was conducted by interview directly to the staf of production department of PT. Dimembe Nyiur Agripro (DNA) and also use the written data in the form of documents obtained from the company. Data analysis was performed using Economic Order Quantity (EOQ). These results indicate that the optimal raw material inventory for each purchase / reservation for 2015 should be carried out by PT. Dimembe Nyiur Agripro (DNA) is 61.307 kg with 203 times the purchase frequency and interval of purchase / reordering is 2 days. Thus, companies can minimize the total cost of inventory.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Selvi Santosa ◽  
Gandung Satriyono ◽  
Rinto Nur Bambang

            The current study aims to analyze the supply of raw materials for yankees bakery bread specifically for wheat flour, granulated sugar. This research is done for 2 months, from January to February 2018. Data analysis is used by researchers using the EOQ (Economic Order Quantity) to carry out orders to determine how many orders. From the results of this study the amount of inventory is optimal, EOQ of wheat flour in the third quarter of 2017 is 4,807.29 kg, dosage is 137.28 kg, done (ROP), the remaining stock is 265.68 kg, the total cost is Rp. 971,420. The fourth quarter of 2017 is 5,217.66 kg frequency 2 times, safety supplies 69 kg, reorder (ROP) stocks in warehouses remaining 198.11 kg, the total cost of inventory is Rp. 1,054,346. Based on the results of the study concluded that EOQ is more efficient. Then the cost of the raw material for Yankees Bakery is used EOQ in the supply of raw materials. Penelitian saat ini bertujuan menganalisis sediaan bahan baku roti yankees bakery khusus bahan tepung terigu, gula pasir. Penelitian yang ini dikerjakan lamanya 2 bulan, dari bulan Januari hingga bulan Februari 2018. Analisis data dipergunakan peneliti menggunakan EOQ (Economic Order Quantity) melaksanakan pesanan menentukan seberapa banyak pesanan. Dari hasil penelitian ini jumlah persediaan menjadi optimal, EOQ tepung terigu triwulan tiga tahun 2017 banyaknya 4.807,29 kg, sediaan 137,28 kg, dilakukan (ROP) sediaan sisa 265,68 kg, total biaya Rp. 971.420. Triwulan keempat tahun 2017 sebanyak 5.217,66 kg frekuensi 2 kali, persediaan pengaman 69 kg, melakukan pemesanan ulang (ROP) sediaan di gudang tersisa 198,11 kg, total biaya persediaan sebesar Rp. 1.054.346. Berdasarkan hasil penelitian disimpulkan EOQ lebih efisien. Maka hematan biaya sedia bahan baku Yankees Bakery gunakan EOQ di sediaan bahan baku.


Author(s):  
John EHJ. FoEh ◽  

The research aims to determine the optimal order quantities of raw materials using Economic Order Quantity (EOQ), the total cost of raw material inventory, reorder point, order frequency, and application of the EOQ method on the CV. XYZ Kupang in an effort to optimize inventory costs. The data used in this study consisted of primary data and secondary data both qualitatively and quantitatively related to raw material supply. Primary data were obtained through direct observation and interviews with various key respondents at CV. XYZ Kupang. Secondary data were obtained from the documents and reports from Management Company. The results of this study indicate that the optimal quantity of raw material orders at CV. XYZKupang is 63.80 m3 in 2017, 63.04 m3 in 2018, and 72.80 m3 in 2019. The total cost of the company’s raw material supply that issued if EOQ policy appliedRp. 32.267.554 in the year 2017, Rp. 24.507.185 in the year 2018, and Rp. 28.020.251 in the year 2019.CV. XYZ Kupang must perform an order back in the level of inventories of 16.74 m3 in 2017, at 10.08 m3 in 2018, and 9.82 m3 in 2019.6.90 m3 in 2017, 6.20 m3 in 2017, and 5.75 m3 in 2019. CV. XYZ Kupang had to order as many as 9 times in the year 2017, 8 times in the year 2017, and 8 times in the year 2019. Thus the number of all bookings in the year 2017 of 7.09 m3, by the year 2018 of 7.88 m3 and in the year 2019 of 9.1 m3.CV. XYZ Kupang can optimize the cost of supplies, neither order of the cost of storage. If EOQ method applied, there is a saving from the total cost of the inventory in the year 2017 is Rp. 72.523.229, by the year 2018 is Rp. 68.476.912, and in 2019 is Rp. 76.468.558.


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.


2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Dwi Dayanti Oktavia ◽  
Peni Indarwati ◽  
Marhaerni Fikky Febriananta

A company should maintain an adequate or optimal level of inventory so that production operations can run smoothly and efficiently. What needs to be considered in this case is that the required raw materials are always available, so as to guarantee the smooth production process. However, the amount of inventory should not be too much because this will harm the company. Too much inventory will increase maintenance costs and storage costs in the warehouse. In addition, the amount of inventory that is too much can also increase the likelihood of losses due to damage and loss of quality that can reduce company profits. And vice versa, the amount of inventory that is too small will hamper the production process so that the company will suffer a lot of losses including: the machine does not work as it should, many workers are unemployed, and can even result in the cessation of the production process. This study aims to determine how the calculation of raw materials, what is the total cost of raw material inventory if the company establishes an EOQ (Economic Order Quantity) policy, what is the limit or point of ordering raw materials needed by the company during the grace period at PT.Bentoel International Investama in Malang.The population used is the supply of tobacco raw materials at PT. Bentoel International Investama, where this research was conducted by interview and documentation. The variable in this study is the supply of raw materials. The analysis used is the EOQ (Economic Order Quantity) method.The results of the study, if using the EOQ method in 2017 the cost savings of Rp 40,290,256,931, while in 2018 the cost savings of Rp. 44,388,428,549. Thus there is a difference between inventory policies carried out according to the company with EOQ calculations. It can be concluded that the supply of raw materials every year has increased raw materials, the frequency of purchasing raw materials when using raw materials when using the EOQ method is 2 times in one period, the limit for ordering raw materials needed by companies when using the 2017 EOQ method is 218,176.7 kg, while in 2018 it will be 210,853 kg. The total cost of raw material inventory calculated according to EOQ is less than that spent by the company, so there is a cost savings of raw material inventory


2013 ◽  
Vol 3 (3) ◽  
Author(s):  
Nunung Nurhasanah ◽  
Muhamad Aqil Tamam

<p>The availability of wheat flour as raw material is a crusial planning, especially for<br />PT. XYZ. That is why, this availability needs to be maintained, thus whenever industry needs<br />to produce noodle, wheat flour always available as stock.PT. XYZ has several suppliers to<br />supply wheat flour in present.But, in order to fulfill the supplies, PT. XYZ used to get their<br />lost because of the rejected and lateness of wheat flour as raw materials.In other way, this<br />company has not yet had a standard method to choose the best supplier.<br />This research has studied by using two methods in order to choose the best suppleirs.<br />These are Analitical Hierarchy Process (AHP) and Fuzzy AHP. This research has also<br />studied to fulfill the optimal raw material order. In order to get the optimal order quantity,<br />this research suggested Economic Order Quantity (EOQ) modeling.<br />This research has shown that there are no significant deferences between AHP and<br />Fuzzy AHP. Based on this research, PT. XYZ may use either AHP or Fuzzy AHP to choose<br />the best supplier. Based on EOQ, the optimal order quantity is 103.730kg, and company<br />should order every 23 days, meaning there is 16 times order to supplier. The reorder<br />point is 22.230kg, and the total cost is Rp.9.923.475.086.</p>


2021 ◽  
Vol 1 (2) ◽  
pp. 61-75
Author(s):  
Seprianto E. Haobenu ◽  
◽  
Antonio E. L. Nyoko ◽  
Aldarine Molidya ◽  
Rolland E. Fanggidae ◽  
...  

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.


2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Deva Ajib ◽  
Setyo Adjie ◽  
Edi Santoso

This research was carried out with the theme of controlling raw material inventory in Jaya Poultry Farms in Paringan Village, Jenang District, Ponorogo Regency. This study aims to determine the application of the Economic Order Quantity (EOQ) method to reduce the cost of feed supplies and to determine the possibility of increasing the efficiency of corn raw material inventory by the Economic Order Quantity (EOQ) method. This research uses quantitative descriptive methods. The analytical tool used is Economic Order Quantity (EOQ), Frequency of Purchase, Total Inventory Cost (TIC), Safety Stock, Maximum Inventory and Re Order Point. Source of data used in this study are primary data and secondary data. Data collection is done by interview, observation, documentation, and literature study. The results showed that the efficiency of procurement of corn raw material inventories at Jaya Poultry farms could be increased by the Economic Order Quantity (EOQ) method and the use of the Economic Order Quantity (EOQ) method in companies could reduce the cost of corn raw material inventory being cheaper when compared to company policy which has been applied by the company.


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