scholarly journals Analysis of Maklon Service Raw Material Control Using EOQ (Economic Order Quality) Method Based on Big Logistic Data to Support Industry 4.0

2021 ◽  
Author(s):  
Dina Shofiana ◽  
Moh Imsin
Keyword(s):  
Industry 4.0 ◽  
Raw Material ◽  
Economic Order ◽  
Material Control

scholarly journals Analisis Pengendalian Persediaan Bahan Baku Kerupuk Mentah Potato Dan Kentang Keriting Menggunakan Metode Economic Order Quantity (EOQ)

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Khoirul Hidayat ◽  
Jainuril Efendi ◽  
Raden Faridz
Keyword(s):  
Industrial Sector ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Inventory Cost ◽  
Material Control ◽  
Company Policy ◽  
Forecast Result ◽  
Total Inventory

<em>The increase in the food industrial sector over the year making food producers experience tighter competition. In this era of intense competition in the food industry, raw material inventory control in PT. Surya Indah Food Multirasa is still facing a problem of lacking raw material in potatoes and curly potatoes every year, which affects in sale loss. This study is conducted to find out the precise amount of order in every raw material purchase, so there is no lack of raw material, at a lower cost. This study uses the Economic Order Quantity (EOQ) method for analyzing raw material control for potatoes and curly potatoes. Comparing the uses of company policy and EOQ. EOQ analysis calculation followed by conducting safety stock (SS) analysis, maximum inventory (MI) analysis, Total Inventory Cost (TIC) analysis, and reorder point (ROP) analysis, therefore, optimal stock for the company can be discovered. The result of EOQ analysis showed that the EOQ method is more efficient than company policy with TIC average difference for potato’s raw material that is Rp. 856.124 and curly potatoes raw material that is Rp. 1.065.989. The average EOQ value of potato’s raw material is 344 kg while curly potatoes are 234 kg. Next is the average SS value for potato raw material is 75 kg while curly potatoes are 35 kg, and the average ROP value for potato raw is 123 kg while curly potatoes are 58 kg. This research also performs forecasting using Winter’s method so that data demand for the year of 2019 can be discovered. The forecast result with the EOQ method for the year 2019 is 371 kg for potato's raw material and 258 kg for curly potatoes.</em>

scholarly journals Industry 4.0 and Sustainability Implications: A Scenario-Based Analysis of the Impacts and Challenges

2018 ◽  
Vol 10 (10) ◽  
pp. 3740 ◽  
Author(s):  
Silvia Bonilla ◽  
Helton Silva ◽  
Marcia Terra da Silva ◽  
Rodrigo Franco Gonçalves ◽  
José Sacomano
Keyword(s):  
Sustainable Development ◽  
Industry 4.0 ◽  
Sustainable Development Goals ◽  
Big Data Analytics ◽  
Industrial Process ◽  
Raw Material ◽  
The Sustainable Development ◽  
Long Run ◽  
Development Goals ◽  
Negative Impacts

The new evolution of the production and industrial process called Industry 4.0, and its related technologies such as the Internet of Things, big data analytics, and cyber–physical systems, among others, still have an unknown potential impact on sustainability and the environment. In this paper, we conduct a literature-based analysis to discuss the sustainability impact and challenges of Industry 4.0 from four different scenarios: deployment, operation and technologies, integration and compliance with the sustainable development goals, and long-run scenarios. From these scenarios, our analysis resulted in positive or negative impacts related to the basic production inputs and outputs flows: raw material, energy and information consumption and product and waste disposal. As the main results, we identified both positive and negative expected impacts, with some predominance of positives that can be considered positive secondary effects derived from Industry 4.0 activities. However, only through integrating Industry 4.0 with the sustainable development goals in an eco-innovation platform, can it really ensure environmental performance. It is expected that this work can contribute to helping stakeholders, practitioners and governments to advance solutions to deal with the outcomes emerging through the massive adoption of those technologies, as well as supporting the expected positive impacts through policies and financial initiatives.

scholarly journals Pengendalian Persediaan Bahan Baku Nalco Water Treatment Dengan Menggunakan Metode Lot Sizing

2019 ◽  
Vol 2 (2) ◽  
pp. 80
Author(s):  
Masad Hariyadi ◽  
Boy Isma Putra
Keyword(s):  
Water Treatment ◽  
Raw Materials ◽  
Unit Cost ◽  
Exponential Smoothing ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Double Exponential ◽  
Double Exponential Smoothing

The limited supply of Nalco raw materials from producers has become a problem for PT ABC, this has led to the control of raw material inventory at PT ABC not including good management, because in the management of raw materials the company still records inventory with manual systems and in ordering raw materials only based on estimates. From the results of the study, the forecasting method used is the Double Exponential Smoothing Holt's, Brown, and Holt Winters Additive Algorithm methods, from the three methods that are most suitable is the Double Exponential Smoothing Brown method with the smallest Mean Square Error of 256.2. Calculation of Sizing Lot by using Economic Order Quantity method, Least Unit Cost method, and Silver Meal method, of the three methods the most optimal is the Economic Order Quantity method because it has the lowest cost of Rp. 12,651,145. The calculation of Safety Stock gets 17 Pail results. and for Reorder Points for Nalco Water Treatment raw material, which is 29 Pail.

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 PENGENDALIAN PERSEDIAAN BAHAN BAKU PADA UD. MIE STEVEN KAROMBASAN KOTA MANADO

2017 ◽  
Vol 13 (3A) ◽  
pp. 251
Author(s):  
Megawati ., Sengkeunaung ◽  
Tommy F. Lolowang ◽  
Nordy F.L. Waney
Keyword(s):  
Inventory Control ◽  
Secondary Data ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Primary Data ◽  
The Internet ◽  
Order Quantity ◽  
Inventory Cost ◽  
Total Cost

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.

scholarly journals PERENCANAAN DAN PENGENDALIAN PERSEDIAAN BAHAN BAKU PAIL CAT MENGGUNAKAN METODE MATERIAL REQUIRMENT PLANNING (MRP) PADA PT. XYZ

JUMINTEN ◽  
2020 ◽  
Vol 1 (4) ◽  
pp. 163-172
Author(s):  
Vify Elviana ◽  
Akmal Suryadi
Keyword(s):  
Inventory Management ◽  
Consumer Demand ◽  
Raw Materials ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Material Requirements Planning ◽  
Total Cost ◽  
Material Requirements

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).

scholarly journals Analisis Pengendalian Persediaan Bahan Baku dengan Menerapkan Metode EOQ (Economic Order Quantity) pada PT. Jatisari Furniture Work

2021 ◽  
Vol 5 (1) ◽  
pp. 215
Author(s):  
Arga Sutrisna ◽  
Rizki Ginanjar ◽  
Suci Putri Lestari
Keyword(s):  
Production Costs ◽  
Raw Material ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Analysis Tool ◽  
Order Quantity ◽  
Inventory Cost ◽  
Total Cost ◽  
Inventory Costs ◽  
Total Inventory

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.

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

Incorporating data quality into a multi-product procurement planning under risk

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fereshte Shabani-Naeeni ◽  
R. Ghasemy Yaghin
Keyword(s):  
Data Quality ◽  
Optimization Model ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Raw Material ◽  
Measure Data ◽  
Content Type ◽  
Multi Objective ◽  
Procurement Planning

Purpose In the data-driven era, the quality of the data exchanged between suppliers and buyer can enhance the buyer’s ability to appropriately cope with the risks and uncertainties associated with raw material purchasing. This paper aims to address the issue of supplier selection and purchasing planning considering the quality of data by benefiting from suppliers’ synergistic effects. Design/methodology/approach An approach is proposed to measure data visibility’s total value using a multi-stage algorithm. A multi-objective mathematical optimization model is then developed to determine the optimal integrated purchasing plan in a multi-product setting under risk. The model contemplates three essential objective functions, i.e. maximizing total data quality and quantity level, minimizing purchasing risks and minimizing total costs. Findings With emerging competitive areas, in the presence of industry 4.0, internet of things and big data, high data quality can improve the process of supply chain decision-making. This paper supports the managers for the procurement planning of modern organizations under risk and thus provides an in-depth understanding for the enterprises having the readiness for industry 4.0 transformation. Originality/value Various data quality attributes are comprehensively subjected to deeper analysis. An applicable procedure is proposed to determine the total value of data quality and quantity required for supplier selection. Besides, a novel multi-objective optimization model is developed to determine the purchasing plan under risk.

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