scholarly journals Undershoot and order quantity probability distributions in periodic review, reorder point, order-up-to-level inventory systems with continuous demand

2021 ◽  
Vol 91 ◽  
pp. 791-814
Author(s):  
Miguel Gutierrez ◽  
Francisco A. Rivera
Keyword(s):  
Probability Distributions ◽  
Inventory Systems ◽  
Periodic Review ◽  
Order Quantity ◽  
Reorder Point ◽  
Continuous Demand

scholarly journals Evaluasi Quantity Spare Parts dengan Pendekatan EOQ (Economic Order Quantity) PT. Kobexindo Tractors. Tbk Cabang Pekanbaru

2017 ◽  
Vol 5 (02) ◽  
pp. 34-38
Author(s):  
Dedi Dermawan ◽  
Wahyu Hidayah
Keyword(s):  
Spare Parts ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Reorder Point

Kebutuhan Spare Parts unit Froklift Truck atau yang biasa disebut dengan Reach Truck saat ini dihadapkan pada sebuah risiko, tidak dapat memenuhi keinginan para pelanggannya. Persediaan bisa muncul ketika ada kebutuhan dan adanya sebuah perencanaan untuk mengadakan persediaan. Akibat yang ditimbulkan ketika sebuah perusahaan melakukan pengadaan tanpa ada perencanaan yaitu seringterjadinya tidak terjual akibat rendahnya jumlah permintaan sehingga mengakibatkan kinerja perusahaan menurun dan biaya yang tinggi. Teknik pengendalian persediaan akan memperkirakan berapa jumlah optimal tingkat persediaan yang diharuskan, serta kapan saatnya mulai mengadakan pemesanan kembali (reorder point). Perencanaan dengan pendekatan EOQ (Economic Order Quantity) merupakan solusi perencaaan persediaan yang optimal dalam memenuhi kebutuhan persediaan tetap lancar.

scholarly journals ANALYSIS CONTROL SUPPLIES RAW MATERIALS TO EFFICIENCY COST, USING THE METHOD OF ECONOMIC QUANTITY ORDER AT CV. PQR

2018 ◽  
Vol 1 (01) ◽  
pp. 41
Author(s):  
Wartoyo Hadi
Keyword(s):  
Production Process ◽  
Raw Materials ◽  
Analysis Data ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point ◽  
Efficiency Cost

The purpose of the implementation of this research is to find the effectiveness of supplies raw materials, the method of analysis data used in the square is the smallest trend for planning raw materials and controling supplies use method of economic order quantity (EOQ) analyze reorder point. Analysis reorder point and safety stock. And analyzes efficiency cost of raw materials. Forecasting raw materials years 20x7 according to the smallest trend, cloth and dakron happened the difference is greater than of the target needed (according to a company); controling supplies raw materials with the methods eoq in 20x7 more effective than reservations raw materials cloth and dakron and more efficient than cost raw materials. The company should review the policy of forecasting raw material supplies that had been undertaken and make planning supplies the raw material that more accurate using the firm’s historical data and not only targeting the output production next year, so that machines production can be optimized. Considering the use of control supplies with the methods economic order quantity to companies, so this analysis can determine material reservations, supplies safety, maximum supplies to avoid the risk of running out of raw materials, because the companies often happened less dressed up a result of reservations that time is inaccurate, the lack of safety stock and the deferred the delivery of goods which often disturb the production process, by this method can prevent these things, so that the production process can run smoothly and minimize the cost of raw materials supplies.

scholarly journals ANALISIS PERSEDIAAN BAHAN BAKU MADU DENGAN PENDEKATAN ECONOMIC ORDER QUANTITY (EOQ) PADA PT. AKSAMALA ADI ANDANA

2020 ◽  
Vol 20 (1) ◽  
pp. 39
Author(s):  
Ayu Fitriani Putri ◽  
Agus Santosa ◽  
Ni Made Suyastiri Yani Permai
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Safety Stock ◽  
Reorder Point

Penelitian ini bertujuan untuk menganalisis pemesanan bahan baku madu optimal, menganalisis pengaruh biaya pemesanan, biaya penyimpanan, jumlah pemakaian dan waktu tunggu terhadap persediaan bahan baku madu, menganalisis trend kebutuhan bahan baku madu bulan Juli sampai dengan Desember 2018, menganalisis persediaan pengaman (safety stock) bahan baku madu, menganalisis titik pemesanan ulang (reorder point) bahan baku madu. Penelitian ini menggunakan metode deskriptif dengan metode pelaksanaan penelitian yaitu studi kasus. Metode analisis data yang digunakan adalah analisis model EOQ (Economic Order Quantity), analisis regresi linier berganda, analisis trend, analisis safety stock dan analisis reorder point. Hasil penelitian menunjukkan bahwa pemesanan bahan baku madu yang optimal sebesar 6.524 kg/pesanan dengan frekuensi 17 kali pemesanan. Faktor biaya penyimpanan dan jumlah pemakaian mempengaruhi persediaan bahan baku sedangkan faktor biaya pemesanan dan waktu tunggu tidak mempengaruhi persediaan bahan baku di PT. Aksamala Adi Andana. Trend kebutuhan bahan baku madu di PT. Aksamala Adi Andana pada Bulan Juli sampai dengan Desember 2018 cenderung meningkat. Persediaan pengaman (safety stock) bahan baku madu yang harus tersedia di PT. Aksamala Adi Andana yaitu sebesar 766 kg. Reorder point bahan baku madu di PT. Aksamala Adi Andana sebesar 2.915 kg.

scholarly journals An Optimal Order Quantity Of Spare Parts To Minimize Total Inventory Cost Using Periodic Review Approach (R,s,s) Method In PT. XYZ Bandung

2017 ◽  
Vol 1 (02) ◽  
Author(s):  
Feviana Betsi Purba ◽  
Luciana Andrawina ◽  
Murni Dwi Astuti
Keyword(s):  
Spare Part ◽  
Spare Parts ◽  
Optimal Order ◽  
Periodic Review ◽  
Order Quantity ◽  
Inventory Cost ◽  
Inventory Policy ◽  
Total Saving ◽  
Manufacturing Company ◽  
Total Inventory

The availability of spare parts is very crucial thing for manufacturing company in order to support the continuity of production activities. PT XYZ is a manufacturing company which produces thread into fabric. In this case, inventory control of spare part is not properly managed. Inventory position of spare parts in warehouse is always more than inventory policy of the company itself or called overstock which causes total inventory cost is always high. Company only consider on the order fulfillment of spare parts to prevent downtime on the machine that increase performance of production. Hence, order quantity of spare parts is always excessive or not optimal. In this research, global inventory policy conducted in order to minimize total inventory cost is periodic review approach (R, s, S) method. This inventory policy will be calculated using power approximation and obtained total saving cost of holding cost by 31 % while total saving cost of order cost decreased by 7 %. Overall, total inventory cost minimized by 7 % or equal to Rp138.902.742.

ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN METODE ECONOMIC ORDER QUANTITY PADA CV. DIKA JOK JENGGAWAH

2019 ◽  
Vol 18 (2) ◽  
Author(s):  
Siti Husnul Hotima ◽  
Dini Hayati
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Reorder Point ◽  
Total Inventory ◽  
Point Total

Tujuan yang diharapkan dari penelitian ini adalah ingin menganalisis persediaan bahan baku optimal yang dibutuhkan dengan menggunakan metode Economic Order Quantity (EOQ), menganalisis berapa besar persediaan pengaman (Safety stock), menganalisis kapan waktu yang tepat untuk melakukan pemesanan kembali (reorder point), menganalisis total persediaan bahan baku atau Total Inventory Cost (TIC). Jenis penelitian yang digunakan adalah kuantitatif deskriptif. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah wawancara, observasi, dan dokumentasi. Penelitian dan hasil perhitungan yang dilakukan menunjukkan bahwa persediaan bahan baku setiap tahunnya tidak stabil. Bahan baku yang dibutuhkan oleh perusahaan apabila dihitung menggunakan metode Economic Order Quantity (EOQ) pada tahun 2016 adalah sebesar 11,52 m3 dengan frekuensi pembelian 6 kali per periode (1 tahun). Tahun 2017 sebesar 9,90 m3 dengan frekuensi pembelian 6 kali per periode (1 tahun). Persediaan pengaman (safety stock) pada tahun 2016 adalah sebesar 16,48 m3. Pada tahun 2017 sebesar 11,25 m3. Titik pemesanan kembali (reorder point) pada tahun 2016 adalah sebesar 17,18 m3. Pada tahun 2017 sebesar 13,1 m3. Total biaya persediaan bahan baku yang dihitung menurut Economic Order Point (EOQ) lebih sedikit dibandingkan dengan yang dikeluarkan oleh perusahaan, maka ada penghematan biaya persediaan. Pada tahun 2016 sebesar Rp.110.499.402 dan pada tahun 2017 sebesar Rp.81.655.306. Kata Kunci: Economic Order Quantity (EOQ), Persediaan Pengaman (Safety Stock), Titik Pemesanan Kembali (Reorder Point), Total Biaya Persediaan atau Total Inventory Cost (TIC).

Utilizing Simulation to Build a Retail Store Inventory Optimization Model

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
VICENTE SALVADOR E. MONTAÑO ◽  
MICHAEL E. CARTER II
Keyword(s):  
Simulation Model ◽  
Goodness Of Fit ◽  
Inventory Model ◽  
T Test ◽  
Optimal Order ◽  
Order Quantity ◽  
Goodness Of Fit Test ◽  
Reorder Point ◽  
Kolmogorov Smirnov ◽  
Optimal Order Quantity

The researchers build an inventory model for retail stores by validating their economicorder quantity through data driven simulation. This paper created an inventoryoptimization model for a personal care retailing business, to avoid stock out and minimize their holding cost and ordering cost. Simulating a thousand different scenarios, the research come up with an optimal inventory model for the two most sellable products in the store. The t-test reveals that product A has a significantly higher demand than product B. The simulation model validates the optimal order quantity of 59 units, with a reorder point of 25 units for product A. However, the simulation model recommends an optimal order quantity of 37 units and a reorder point of 10 units for product B. The Kolmogorov-Smirnov Goodness of Fit Test reveals the normal distribution of the 30 days inventory for Product A but not for Product B. Confirming that stocks out will unlikely happen for product A but will probably occur for product B. The model confirms EOQ findings of product with relatively high demand but low price but a departure for products with low demand but the high price.Keywords: Operations management, retail inventory system, t-test, Monte Carlo Simulation,Kolmogorov-Smirnov Goodness of Fit Test, Davao City, Philippines, Southeast Asia

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