scholarly journals Implementasi Algoritma Wagner-Within pada Manajemen Inventori di PT X

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Puspandam Katias ◽  
Achmad Affandi
Keyword(s):  
Production System ◽  
Manufacturing Industry ◽  
Raw Materials ◽  
Raw Material ◽  
Efficient Production ◽  
Manufacturing Companies ◽  
Inventory Cost ◽  
Qualitative Descriptive ◽  
Total Inventory ◽  
Supporting Material

The increasing competition in the manufacturing industry caused increasing inconsumer demand of the quality and quantity of a good product. Therefore, manufacturing companies must have reliable services, policies and product qualities to satisfy its customers. So it needs to be supported by efficient production system and inventory system. To able to create an efficient production system then need a good raw material inventory planning. This research aims to compere how efficiently in planning raw materials inventory between Wagner-Within Algorithm with the actual concept that applied to PT X, Sidoarjo. The methodology of this research is qualitative descriptive research. The findings this research is engaged in packaging (woven bag and jumbo bag) with main raw materials such as plastic ore and supporting material in inner, thread, additive, and pigment. Based on the result of the analysis is known that the actual concept of the company gives the total inventory cost IDR 3.151.000.000 with the frequency of ordering 12 times while WagnerWithin Algorithm method provides a more efficient total inventory cost of Rp. 2.685.821.101 with8 times the frequency of ordering and can savings of 14.8% of total raw material inventory cost.

scholarly journals DETERMINATION OF INVENTORY PERIODIC REVIEW POLICY (R, s, S) USING POWER APPROXIMATION METHOD FOR MINIMIZE TOTAL INVENTORY COST IN PT. OPQ

2019 ◽  
Vol 3 (01) ◽  
pp. 47-52
Author(s):  
Ratnawia ◽  
Rio Aurachman ◽  
Saskia Puspa Kenaka
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Service Level ◽  
Raw Material ◽  
Periodic Review ◽  
Inventory Cost ◽  
Automotive Manufacturing ◽  
Power Approximation ◽  
Total Inventory

OPQ is a company engaged in the automotive manufacturing industry. The company produces bolts for the safety area, it is related to the lower body of the four-wheeled vehicle. PT. OPQ was established in 2014 and today has already been the supplier for several major automotive companies in Indonesia. The demand of PT OPQ that must be fulfilled is increasing as the amount of consumer is increasing too. Due to the high demand, so the raw material stockout occurs. This make the company's service level is below the standard.   This study involved 48 sku of material raw materials that have normal distributed demand. Inventory policy applied in this research is periodic review (R, s, S) with the aim to minimize total cost of inventory and improve service level of company.   The result of this research was found to decrease total inventory cost by 15% with the value of existing inventory cost Rp1.100.879.479,- to Rp 936.061.349,- . In addition, service level at PT. OPQ has increased with the value of existing conditions 85% to 99%.   Keywords—Raw Material, Periodic Review, Probabilistic, Service Level, Stock out

DETERMINATION OF INVENTORY PERIODIC REVIEW POLICY (R, s, S) USING POWER APPROXIMATION METHOD FOR MINIMIZE TOTAL INVENTORY COST IN PT. OPQ

2019 ◽  
Vol 3 (01) ◽  
Author(s):  
Ratna Wia ◽  
Rio Aurachman ◽  
Saskia Puspa Kenaka
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Service Level ◽  
Raw Material ◽  
Periodic Review ◽  
Inventory Cost ◽  
Automotive Manufacturing ◽  
Power Approximation ◽  
Total Inventory

PT. OPQ is a company engaged in the automotive manufacturing industry. The company produces bolts for the safety area, it is related to the lower body of the four-wheeled vehicle. PT. OPQ was established in 2014 and today has already been the supplier for several major automotive companies in Indonesia. The demand of PT OPQ that must be fulfilled is increasing as the amount of consumer is increasing too. Due to the high demand, so the raw material stockout occurs. This make the company's service level is below the standard. This study involved 48 sku of material raw materials that have normal distributed demand. Inventory policy applied in this research is periodic review (R, s, S) with the aim to minimize total cost of inventory and improve service level of company. The result of this research was found to decrease total inventory cost by 15% with the value of existing inventory cost Rp1.100.879.479,- to Rp 936.061.349,- . In addition, service level at PT. OPQ has increased with the value of existing conditions 85% to 99%.

scholarly journals PENGENDALIAN PERSEDIAAN BAHAN BAKU DALAM PROSES PRODUKSI DENGAN MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY (EOQ)

2019 ◽  
Vol 1 (2) ◽  
pp. 415-423
Author(s):  
Elia Rahayu R ◽  
Nor Norisanti ◽  
Acep Samsudin
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Analysis Method ◽  
Inventory Cost ◽  
Total Inventory ◽  
The Difference ◽  
Quantitative Descriptive

The purpose of this study is to control the supply of raw materials using the Economic Order Quantity (EOQ) method in Tahu Nugraha Jaya Sukabumi UKM. The data analysis method used is quantitative descriptive to describe and describe the data to be examined and then processed using EOQ. This study uses the EOQ method to determine the total inventory cost. The data needed in this study are the number of purchases of raw materials, the amount of use of raw materials, storage costs, and ordering costs. The results of this study indicate that by applying the EOQ method can further optimize the supply of raw materials by minimizing raw materials with increased inventory. With the application of the Economic Order Quantity (EOQ) method it shows more efficient than conventional methods of the company. Conclusions, seen from the difference in the TIC of the two methods, the more efficient method is the Economic Order Quantity (EOQ) method that is equal to 244,392.94 while the calculation used by the company is 374,325. so that it can be obtained that there is a difference between the Company TIC and the EIC method TIC. Keywords: Raw Material Inventory, Production Process

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.

scholarly journals ANALISIS PENGENDALIAN PERSEDIAAN BAHAN BAKU PLAT BESI INDUSTRI KAROSERI MENGGUNAKAN METODE EOQ (Studi Kasus Pada PT. MISITAMA)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Paduloh Paduloh
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Secondary Data ◽  
Raw Material ◽  
Safety Stock ◽  
Total Cost ◽  
Reorder Point ◽  
Material Purchases ◽  
Total Inventory ◽  
Iron Iron

This study aims to analyze the optimal usage volume of iron raw plates required by PT. Misitama for the period of 2017. PT. Misitama is a company engaged in the field of tank manufacturing industry for the needs of manufacturing and mining industries. The study analyzed the total cost of Iron Iron raw material supply which must be used by PT. Misitama during 2017, analyzing reorder point, safety stock and raw material inventory control using EOQ method. The data used is the data of September 2017 - October 2017. The data used is secondary data derived from corporate data. The results show that the amount of raw material purchases during 2017 if using the EOQ method becomes lower. The optimal purchase of raw materials to be done by the company in 2017 is 14.8 m2 with the frequency of ordering to be done as much as 8 times. The quantity of safety stock (Safety Stock) that must be available in warehouse of 7 m2 and reorder point (reorder point) EOQ that is when the warehouse inventory is only 8.88 m2. Total inventory cost for production process issued by PT. Misitama by using EOQ method becomes smaller than the total cost of previous inventory.

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.

scholarly journals OPTIMALISASI PENGENDALIAN PERSEDIAAN BAHAN BAKU DENGAN METODE JOINT ECONOMIC ORDER QUANTITY (JEOQ) PADA UD PURNAMA JATI JEMBER

BISMA ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 65
Author(s):  
Eka Bambang Gusminto ◽  
Didik Pudjo Musmedi ◽  
Ariwinata Kriswardhana
Keyword(s):  
Production Process ◽  
Wheat Flour ◽  
Raw Materials ◽  
Previous Method ◽  
Least Square ◽  
Raw Material ◽  
Process Data ◽  
Inventory Cost ◽  
Reorder Point ◽  
Total Inventory

This study aims to determine the optimal amount of raw materials inventory needs and the reorder point of raw materials in UD Purnama Jati Jember. UD Purnama Jati Jember is a company engaged in the production of Jember Regency speciality food and souvenirs. Due to not having a standard method, there are problems of raw material inventory in the production process, including overproduction and excess or shortage of raw materials. Data were obtained by interviewing the company owner and observing the company's production process. Data analysis were performed using least square forecasting, JEOQ, safety stock, and reorder points method. The results of the study showed that the optimal raw material needs are 4,644.772 kg of tape, 2,491.411 kg of wheat flour, 3,967.927 kg of egg, 1,439.623 kg of butter, and 3,519.371 kg of sugar. The total inventory cost of raw material is Rp. 281,296,067 indicated a more efficient inventory cost than the previous method. Meanwhile, the amount of raw materials inventory for the reordering point is 417.39 kg of tape, 231.29 kg of wheat flour, 358.88 kg of eggs, 131.78 kg of butter, and 318.99 kg of sugar. Keywords : JEOQ, raw materials control, reorder point, total inventory costs

scholarly journals Designing of Inventory Control for Aluminum Industry

2018 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Ineu Widaningsih Sosodoro ◽  
Anastasia Lidya Maukar ◽  
Intan Puspita Pribadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Manufacturing Industry ◽  
Raw Material ◽  
Review System ◽  
Inventory Cost ◽  
Continuous Review ◽  
Reorder Point ◽  
Total Inventory

<p>Inventory is one of important factors in manufacturing industry to ensure production process run. This research was conducted in an aluminum ingot manufacture company. The company faces a problem to manage the inventory system for their main raw material. The problem deals with the high expenditure due to safety stock that causes high inventory cost. Total inventory cost based on current condition is $270,706 per year. The proposed improvement method that used in this analysis is continuous review system. This method is applied to determine the appropriate Reorder Point (ROP) and to minimize the inventory cost. Based on the proposed improvement, total inventory cost can be reduced by 30%. This proposed system is also equipped with Decision Support System by using what-if analysis method as the tool to make decision for the next several periods by giving several scenarios and considering the aspects that influence to decision.<br />Keywords: Inventory, Reorder point, Continuous Review System, Decision Support System, What If Analysis, Scenario</p>

scholarly journals Analisis Pengendalian Ketersediaan Bahan Baku Di PT. Akasha Wira Internasional, Tbk Menggunakan Metode EOQ

2020 ◽  
Vol 2 (1) ◽  
pp. 22
Author(s):  
Sandi Wardani ◽  
Sri Rahayuningsih ◽  
Ana Komari
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Optimal Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Reorder Point ◽  
Total Inventory

This study aims to analyze the availability of raw materials at PT. Akasha Wira Internasional Tbk, analyzes the total cost of raw material inventories, analyzes to reorder point raw materials, analyzes the amount of safety stock of raw materials, analyzes raw material inventory control. The analytical method used is the Economic Order Quantity method, which is to find out the optimal order or purchase quantity with the aim of minimizing inventory costs consisting of ordering costs and storage costs. The results showed that the purchase of optimal ades 1500 ML label raw materials according to the Economic Order Quantity method during the 2017 period for each message was greater than what the company did. The optimal purchase of raw materials that must be done by the company in 2017 is 397 m with the frequency of ordering that must be done as much as 2 times. The safety stock quantity that must be available in the warehouse is 480.15 m and the Re Order Point according to the Economic Order Quantity is at the time of the inventory in the warehouse is 512.91 m. The total inventory cost for the production process incurred according to the Economic Order Quantity method is smaller than the total inventory cost incurred by the company. Keywords: Inventory, Raw Materials, Economic Order Quantity  Penelitian ini bertujuan untuk menganalisis ketersediaan bahan baku di PT. Akasha Wira Internasional Tbk, menganalisis total biaya persediaan bahan baku, menganalisis untuk melakukan pemesanan kembali (reorder point) bahan baku, menganalisis jumlah persediaan pengamanan barang  (safety stock) bahan baku, menganalisis pengendalian persediaan bahan baku. Penggunaan pendekatan yaitu metode Economic Order Quantity sebagai cara menyimpan bahan baku untuk ketersediaan biaya pesan dan biaya simpan bahan baku. Data yang diperoleh adalah data primer dan data sekunder. Pada bahan baku  ades 1500 ML tahun 2017 memiliki tingkat pemesanan yang lebih tinggi. Pembelian bahan baku optimal yang harus dilakukan perusahaan pada tahun 2017 adalah sebesar 397 m dengan frekuensi pemesanan yang harus dilakukan adalah sebanyak 2 kali. Kuantitas persediaan pengaman yang harus tersedia digudang adalah sebesar 480,15 m dan titik pemesanan kembali menurut Economic Order Quantity yaitu saat persediaan digudang tinggal 512,91 m. Maka dalam proses produksi menurut EOQ lebih kecil diabnding dengan total pembiayaan dari perusahaan.  Kata Kunci :  Persediaan , Bahan Baku, Economic Order Quantity

scholarly journals OLOS: OPTIMALISASI LOT SIZING PADA SISTEM MRP UNTUK MEMINIMUMKAN BIAYA PERSEDIAAN BAHAN BAKU DI CV. ICHA COLLECTION.

2019 ◽  
Vol 3 (1) ◽  
pp. 35
Author(s):  
Eko Wandiro ◽  
Saufik Luthfianto
Keyword(s):  
Lot Sizing ◽  
Raw Materials ◽  
Raw Material ◽  
Inventory Cost ◽  
Total Cost ◽  
Material Optimization ◽  
Analysis Technique ◽  
The Future ◽  
Total Inventory

CV. Icha Collection Pemalang is an industry engaged in the manufacture of bags and wallets. For the manufacture of bags in particular is the LC Type Women's Bags. The problem in this study that arises is the supply of raw materials. Raw material inventory is where there is a delay in the delivery of raw materials in the case of an expedition. This study aims to plan the supply of raw materials at an efficient cost so that raw material needs do not experience obstacles. This research will discuss the planning of LC Bag Type OL with raw material (optimization of lot sizing) on the MRP system. The analysis technique used is plotting past request data, forecasting the future, and MRP. The results of this study are the application of the Lot Sizing method, Part Balancing Period for each raw material for Women Bags Type LC in CV. Icha Collection Pemalang can minimize the total cost of inventory. The Part Balancing Period method has the lowest total inventory cost for each raw material and optimizes 91.33% of raw material inventory. Keyword : MRP, Raw material inventory CV. Icha Collection Pemalang merupakan indusri yang bergerak di bidang pembuatan tas dan dompet, khususnya Tas Wanita Type LC. Permasalahan dalam penelitian ini adalah persediaan bahan baku, dimana terjadi keterlambatan pengiriman bahan baku dalam hal ekspedisi. Penelitian ini bertujuan untuk merencanakan persediaan bahan baku dengan biaya yang efisien sehingga kebutuhan bahan baku tidak mengalami kendala. Penelitian ini akan membahas perencanaan bahan baku Tas Wanita Type LC dengan OLOS (optimalisasi lot sizing) pada sistem MRP. Teknik analisis yang dilakukan yaitu mengeplot data pemintaan masa lalu, peramalan, dan MRP. Hasil dari penelitian ini adalah penerapan metode Lot Sizing, Part Periode Balancing untuk setiap bahan baku Tas Wanita Type LC di CV. Icha Collection Pemalang dapat meminimalkan biaya total persediaan. Metode Part Periode Balancing mempunyai total biaya persediaan paling rendah untuk setiap bahan bakunya dan mengoptimalkan 91,33% persediaan bahan baku.Kata Kunci: MRP, persediaan bahan baku.  

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