scholarly journals Methods of Comparison of the Economic Order Quantity and Just-In-Time Restocking Technologies. The Case Study

2022 ◽  
Vol 24 (2) ◽  
pp. A35-A43
Author(s):  
Andrii Galkin ◽  
Velerii Levada ◽  
Volodymyr Kyselov ◽  
Oksana Hulchak ◽  
Dmytro Prunenko ◽  
...  
Keyword(s):  
Analytical Models ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Just In Time ◽  
Optimal Size ◽  
Order Quantity ◽  
Time Model ◽  
Urban Freight ◽  
The Given

Estimation of the optimal size of order is one of the key tasks in determining the parameters of the urban freight restocking system. The existing analytical models and methods are considering each technology separately and they do not compare the Economic Order Quantity (EOQ) and Justin-tme (JIT) restocking technologies. The purpose of this research was to evaluate efficiency of the JIT and EOQ restocking technologies. The research would help in selecting the delivery model, analyzing functioning of existing JIT and EOQ models. The article presents an approach to determining the comparison in organizing supplies to the retailer. For this, the two supply models were compared. The Just-in-Time model is characterised by costs that are spend on transportation. The Economic Order Quantity model includes costs of transportation and storage in a warehouse. After calculations, application of the Just-in-Time model in the given conditions was determined.

Unit-Wise Ranking of Inventory Control Techniques Used in Small Scale Cement Enterprises: A Small Scale Entrepreneurial Perspective

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Vipul Chalotra
Keyword(s):  
Inventory Control ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Small Scale ◽  
Just In Time ◽  
Order Quantity ◽  
Control Techniques ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Almost All

The present research divulges the different inventory control techniques used small scale cements enterprises operated by small scale entrepreneurs through the assistance of primary data collected from eight small scale cement enterprises operating in SIDCO & SICOP, under DIC (District Industries Center) in District Udhampur of Jammu & Kashmir State. The various inventory control techniques identified and quested for in the research were: Always Better Control (ABC), Economic Order Quantity (EOQ), Material Requirement Planning (MRP), and Just-in-Time (JIT). The results of the ranking table quoted that Economic Order Quantity (EOQ) was awarded first rank by almost all the units representing overall mean score of 1.71, Always Better Control (ABC) was denoted by rank two repressing overall mean value as 2.00, Material Requirement Planning (MRP) was quoted rank three as depicted by its mean ranking (2.25), and Just-in-time (JIT) was accorded rank four (3.71) by almost all the small scale cements entrepreneurs/owners.

scholarly journals ANALISIS PENERAPAN ECONOMIC ORDER QUANTITY (EOQ) DI PABRIK GULA MADUKISMO BANTUL

2018 ◽  
Vol 32 (2) ◽  
pp. 126
Author(s):  
Risa Rahmawati ◽  
Endang Siti Rahayu ◽  
Susi Wuri Ani
Keyword(s):  
Data Analysis ◽  
Production Process ◽  
Sugar Cane ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Basic Method ◽  
Order Quantity

<em><span>The purpose of this research to analyze the result of Economic Order Quantity in Madukismo Sugar Manufacture during the year of 2013-2015. The basic method used in this research was analytical, descriptive with case study technique. Data analysis used Economic Order Quantity (EOQ). The results of the study showed that during 2013-2015 the order quantity according to Madukismo Sugar Manufacture policy was 29.377 Quintal with the frequency of ordering 192 times, 30.328.46 Quintal with the frequency of ordering 168 times, and 31.883,06 Quintal with the frequency of ordering 142 times, sequentially. Whereas the result of Economic Order Quantity (EOQ) calculation during 2013-2015 where 52,916.47 Quintal with the frequency of ordering 107 times, 45,980.57 Quintal with a frequency 111 times, and 49,135.20 Quintal with a frequency 92 times, consecutively. The result of Economic Order Quantity calculation to intent filled up the needs of sugar cane and to maintain the sustainability of the production process. The effort to provide Economic Order Quantity of sugarcane,Madukismo Sugar Manufacture managed for expanding of sugarcane planting area. So that, Madukismo Sugar Manufacture could run the production process properly and sustainability.</span></em><br /><em></em>

A Generalized Economic Order Quantity Inventory Model with Shortage: Case Study of a Poultry Farmer

2018 ◽  
Vol 44 (3) ◽  
pp. 2653-2663 ◽  
Author(s):  
Amir Hossein Nobil ◽  
Amir Hosein Afshar Sedigh ◽  
Leopoldo Eduardo Cárdenas-Barrón
Keyword(s):  
Inventory Model ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity

scholarly journals ANALISA PERENCANAAN PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN METODE GABUNGAN ECONOMIC ORDER QUANTITY (EOQ) DAN JUST IN TIME (JIT) DI UD. SUPER MEKAR GRESIK

2019 ◽  
Vol 13 (1) ◽  
pp. 74-85
Author(s):  
Rusindiyanto Rusindiyanto ◽  
Yustina Ngatilah
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Just In Time ◽  
Order Quantity

Penelitian ini dilakukan bertujuan untuk melakukan perencanaan pengendalian persediaan bahan baku yang optimal sehingga meminimasi total biaya persediaan bahan baku  kerupuk bawang. Dalam penelitian ini terdapat dua variabel yaitu Variabel terikat adalah total biaya persediaan bahan baku kerupuk bawang, Variabel bebas antara lain Data pembelian bahan baku, Data pemakaian bahan baku,  Data frekuensi pemesanan bahan baku, Data harga biaya bahan baku, Data sisa persediaan bahan baku, Data biaya penyimpanan bahan baku dan Data biaya pemesanan bahan baku. Metode pengolahan data menggunakan metode usulan yaitu metode gabungan Economic Order Quantity (EOQ) dan Just In Time (JIT). adalah Membandingkan data dari dua kondisi dimana kondisi perusahaan dari segi kuantitas bahan baku dan total biaya persediaannya dengan metode usulan yaitu metode gabungan EOQ dan JIT. Hasil penelitian menggunakan metode gabungan EOQ dan JIT menghasilkan total biaya persediaan bahan baku sebesar Rp 7.045.974.029 memberikan minimasi total biaya persediaan sebesar Rp 142.540.866. Penghematan efisiensi biaya yang dihasilkan sebesar 18%.

scholarly journals Analisis Persediaan Karton dengan Metode Economic Order Quantity (EOQ) (Studi Kasus: PT. Asegar Murni Jaya, Minahasa Utara)

2021 ◽  
Vol 21 (2) ◽  
pp. 170
Author(s):  
Therechia A.F. Soares ◽  
Chriestie E.J.C. Montolalu ◽  
Tohap Manurung
Keyword(s):  
Mineral Water ◽  
Raw Materials ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Analysis ◽  
Inventory Costs ◽  
Holding Cost ◽  
Materials Used

Karton merupakan salah satu bahan baku pembantu yang digunakan dalam produksi Air Mineral dalam Kemasan. Menurut beberapa penelitian Metode EOQ digunakan untuk menganalisa persediaan. Tujuan penelitian ini yaitu untuk menentukan jumlah pemesanan ekonomis menggunakan metode Economic Order Quantity (EOQ) dan pengoptimalan biaya yang dapat dilakukan dengan metode EOQ.  Penelitian ini dilakukan pada bulan November 2019 hingga Januari 2020 di perusahaan PT. Asegar Murni Jaya. Variabel yang digunakan yaitu frekuensi kebutuhan karton, biaya pemesanan bahan baku dan biaya penyimpanan bahan baku.  Hasilnya menunjukkan bahwa pemesanan ekonomis menurut metode EOQ untuk karton dengan biaya optimal sebesar  unit untuk periode November 2017 – Oktober 2018 dan unit untuk periode November 2018 – Oktober 2019. Terjadi penghematan dalam biaya persediaan untuk periode November 2017 – Oktober 2018 sebesar  dan untuk periode November 2018 – Oktober 2019 sebesar .Kata kunci: Economic Order Quantity;  karton;  persediaan Carton Inventory Analysis Using the Economic Order Quantity (EOQ) Method (Case Study: PT. Asegar Murni Jaya, Minahasa Utara)ABSTRACTCarton is one of the supporting raw materials used in the production of bottled  or glass mineral water. Based on some research, for analyzed inventory will be used  Economic Order Quantity (EOQ) Method. The purpose of this research was to determine the amount of economic order using Economic Order Quantity (EOQ). This research was conducted in November 2019 until January 2020 at PT. Asegar Murni Jaya. Variables used i.e the frequency of carton demand, ordering cost and holding cost.  The results show that it can be seen that economical order according to EOQ method cartons is  pcs for November 2017 – October 2018 periode and for November 2018 – October 2019 periode. There were savings in inventory costs for the period November 2017 - October 2018 amounting to  and for the period November 2018 - October 2019 amounting to .Keywords : Carton; Economic Order Quantity; inventory

ANALISIS PENGENDALIAN PERSEDIAAN DENGAN METODE EOQ USAHA STAN KAYU SINAR SOWI KABUPATEN MANOKWARI

2020 ◽  
Vol 2 (2) ◽  
pp. 340
Author(s):  
Rizkyani Pratama ◽  
Yulius H Saptomo ◽  
Dirarini Sudarwadi
Keyword(s):  
Raw Materials ◽  
Case Study Research ◽  
Cost Savings ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Total Inventory

Controlling and determining of inventory is an important thing in order to produce efficiently and able to make smooth sales. The purpose of this research is to know an analysis of controlling raw material inventoriesin the manufacture of brick by using Economic Order Quantity (EOQ) method to increase efficiency of the total inventory costin Stan Kayu Sinar Sowi. The raw material of brick is rough sand and cements. Type of case study research through a qualitative approach by means of interviews, observation and documentation. Case study on a wood booth business in Manokwari, West Papua. The results of the study that the purchase of raw materials made by the company is considered less efficient, because company policies tend to cause expenditure to be greater in the amount of Rp.606,620,250 for 12 months (1 period), while using the Economic Order Quantity (EOQ) method will issue a fee of Rp.550,712,500 for the same period. Using the Economic Order Quantity (EOQ) method, the order quantity is higher and the order frequency will be lower, resulting in order cost savings and increasing the total inventory cost efficiency.

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