scholarly journals IMPLEMENTASI PERAMALAN PENJUALAN IKAN LAUT UNTUK OPTIMASI PERSEDIAAN BAHAN BAKU (Studi Kasus di UD Harum Bungah Gresik)

2021 ◽  
Vol 6 (2) ◽  
pp. 59
Author(s):  
Khanifatus Sa'diyah ◽  
Narto Narto
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Moving Average ◽  
Demand Forecasting ◽  
Raw Material ◽  
Forecasting Method ◽  
National Economic ◽  
Marine Products ◽  
Sea Fish ◽  
Weighted Moving Average

Indonesian marine waters have high marine resource resources. One of Indonesia's seafood commodities is fish. With proper management and utilization, marine products become one of the promising business opportunities for the community, so that fisheries become one of the supporting sectors of national economic development. UD Harum is one of the businesses engaged in the fisheries sector as a supplier of marine fish raw material needs to meet the needs of the manufacturing industry. To optimize production planning to meet industry demand, forecasting of sea fish sales data forecasting in the previous period is needed to anticipate a shortage of raw materials. The purpose of this forecasting is to implement forecasting using the Single Moving Average (SMA), Weighted Moving Average (WMA) and Centered Moving Average (CMA) methods in forecasting sea fish sales at UD Harum and to find out the best forecasting results to increase sea fish sales at UD Harum. Forecasting results show forecasting using the Single Moving Average (3-monthly) and (5-monthly) methods respectively 8107.67 kg and 8399.4 kg. For the Weighted Moving Average (3-monthly) and (5-monthly) methods, the results of forecasting are 7268,963 kg and 7443,452, respectively. As for the Centered Moving Average (3-monthly) method with forecast results of 8107.67 kg. The forecasting method chosen to optimize sales is the Centered Moving Average method with a forecast value of 8107.67 kg and has the smallest forecasting error compared to other forecasting methods with a MAPE value of 0.30875 and MPE of -0.1720.

Border Trade between Regions of Russia and Provinces of China

2021 ◽  
Vol 20 (10) ◽  
pp. 103-116
Author(s):  
Natalya S. Epifanova ◽  
Vladimir N. Akulinin
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Value Added ◽  
Raw Material ◽  
Structural Development ◽  
Regional Economies ◽  
Russian Regions ◽  
Goods And Services ◽  
Border Trade ◽  
Regions Of Russia

The purpose of this article is to study border trade in the regions of Russia and the provinces of China. It is shown that in recent years there have been negative trends in border trade, leading to its reduction. Therefore, Russian regions bordering with China should transform into separate objects of regional policy, while also forming a legislative framework for border interaction in all its main spheres: trade, humanitarian cooperation, science and education, and others. In border cooperation with China, special emphasis should be placed on cooperation in the innovation sphere, as well as on improving the quality of exported goods and services and promoting infrastructure projects. Border trade between the regions of Russia and China is built mainly on trade and export of labour resources from China to Russia, as well as China’s receipt of additional sales channels for the confidently growing sales markets for consumer goods and sources of raw materials and primary products. The interaction of Russian regions with neighbouring provinces on the border with China not only preserves the raw material orientation of these regions, but also hinders the development and strengthening of the manufacturing industry in the structure of their regional economies, since border interaction for Russian regions immobilizes those stages of value-added production observed in the very first stages. In general, for the Chinese provinces there is a similar problem associated with such exports to border regions that have common borders with Russia, which does not contribute to the diversification and structural development of the regional economies of the Chinese provinces. That is why building an effective mechanism for border interaction between Russia and China is a strategically important issue for both countries.

scholarly journals Sales Analysis Using the Forecasting Method

bit-Tech ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 146-149
Author(s):  
Amesanggeng Pataropura ◽  
Riki Riki ◽  
Ariadi Saputra
Keyword(s):  
Current Flow ◽  
Current System ◽  
Moving Average ◽  
Scientific Work ◽  
Transaction Data ◽  
Forecasting Method ◽  
Effectiveness And Efficiency ◽  
To Come ◽  
New System ◽  
Weighted Moving Average

Sales Analysis Using Forecasting Method aims to improve effectiveness and efficiency that facilitates companies in business transaction processes, improve the delivery of information quickly, accurately, and transaction data well and minimize errors. The method used in the presentation of this scientific work is by using a forecasting method which helps determine the approximate stock of goods to come. With 3 forecasting modules are: Moving Average, Weighted Moving Average, Trend Projection is used to perform the forecasting process of the upcoming stock of goods. Can solve problems that exist in the current system so that it can help in improving its services by calculating the stock and helping by determining the average data that has been linked to the forecasting module whose results can be concluded through reports per period. It can be concluded that the results of implementing this new system can help companies in recording each transaction that occurs becomes more efficient and effective, so that it can overcome the problems that exist in the current system. With this we can predict the current flow of goods that have been calculated based on 3 (three) modules that have connections with the system

scholarly journals ANALISIS PERENCANAAN BAHAN BAKU DI UD. AA DENGAN MENERAPKAN METODE MATERIAL REQUIREMENT PLANNING (MRP)

2020 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Rudi Abdika Saputra ◽  
Inna Kholidasari ◽  
Susanti Sundari ◽  
Lestari Setiawati
Keyword(s):  
Lot Sizing ◽  
Raw Materials ◽  
Raw Material ◽  
Production Schedule ◽  
Material Requirements Planning ◽  
Forecasting Method ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Material Procurement ◽  
Master Production Schedule

This study discusses the application of the material requirements planning (MRP) method in the planning of raw materials in a furniture company. The purpose of this research is to know the planning of raw materials for furniture products in UD. AA, determine the most suitable inventory model to be applied to material inventory planning and analyze the role of the MRP system in raw material procurement planning. The forecasting method used is the quantitative method of time series analysis, determining the master production schedule, calculating lot sizing (LFL, EOQ, POQ methods). From determining the Master Production Schedule, it is found that the cabinet production plan for the next three months is 4 units per period or week, and based on the calculation of Material Requirement Planning (MRP) it can be seen what components are needed for the manufacture of cabinets, how many and when each component is required. Therefore it is obtained that the total raw material requirement for wood for the next three months is 11.34 m³.

scholarly journals Planning Production Capacity Using Time Series Forecasting Method and Linier Programming

2018 ◽  
Vol 7 (2) ◽  
pp. 20
Author(s):  
M. Tirtana Siregar ◽  
S. Pandiangan ◽  
Dian Anwar
Keyword(s):  
Average Method ◽  
Moving Average ◽  
Demand Forecasting ◽  
Production Capacity ◽  
Mean Absolute Percentage Error ◽  
Programming Method ◽  
Percentage Error ◽  
Absolute Percentage Error ◽  
Forecasting Method ◽  
Planning Production

The objectives of this research is to determine the amount of production planning capacity sow talc products in the future utilizing previous data from january to december in year 2017. This researched considered three forecasting method, there are Weight Moving Average (WMA), Moving Average (MA), and Exponential Smoothing (ES). After calculating the methods, then measuring the error value using a control chart of 3 (three) of these methods. After find the best forecasting method, then do linear programming method to obtain the exact amount of production in further. Based on the data calculated, the method of Average Moving has a size of error value of Mean Absolute Percentage Error of 0.09 or 9%, Weight Moving Average has a size error of Mean Absolute Percentage Error of 0.09 or 9% and with Exponential Method Smoothing has an error value of Mean Absolute Percentage Error of 0.12 or 12%. Moving Average and Weight Moving Average have the same MAPE amount but Weight Moving Average has the smallest amount Mean Absolute Deviation compared to other method which is 262.497 kg. Based on the result, The Weight Moving Average method is the best method as reference for utilizing in demand forecasting next year, because it has the smallest error size and has a Tracking Signal  not exceed the maximum or minimum control limit is ≤ 4. Moreover, after obtained Weight Moving Average method is the best method, then is determine value of planning production capacity in next year using linier programming method. Based on the linier programming calculation, the maximum amount of production in next year by considering the forecasting of raw materials, production volume, material composition, and production time obtained in one (1) working day is 11,217,379 pcs / year, or 934,781 pcs / month of finished product. This paper recommends the company to evaluate the demand forecasting in order to achieve higher business growth.

scholarly journals Macroeconomic indicators of raw material policy in Slovakia

2019 ◽  
Vol 134 ◽  
pp. 03017
Author(s):  
Henrieta Pavolová ◽  
Zuzana Šimková ◽  
Andrea Seňová ◽  
Gabriel Wittenberger
Keyword(s):  
Raw Materials ◽  
The State ◽  
Raw Material ◽  
The European Union ◽  
Economic Sectors ◽  
State Budget ◽  
Material Policy ◽  
National Economic ◽  
Macroeconomic Indicators ◽  
National Economic Policy

This paper points to the development tendencies of selected macroeconomic indicators of raw material policy in Slovakia, which forms an integral part of the national economic policy of the state. It describes in detail selected macroeconomic indicators of exploitation of raw materials, which form the basic platform of functioning of all national economic sectors in Slovakia. It also points out the benefits for the Slovak economy in the form of revenues from mining activities to the state budget, municipal budget and environmental fund. At the end the article summarizes the partial findings from the development tendencies of macroeconomic indicators of raw material policy, which is currently an integral part of the industrial policy of the European Union.

scholarly journals Fourier Analysis for Demand Forecasting in a Fashion Company

10.5772/56839 ◽  
2013 ◽  
Vol 5 ◽  
pp. 30 ◽  
Author(s):  
Andrea Fumi ◽  
Arianna Pepe ◽  
Laura Scarabotti ◽  
Massimiliano M. Schiraldi
Keyword(s):  
Moving Average ◽  
Demand Forecasting ◽  
Fourier Method ◽  
Weather Conditions ◽  
Economic Factors ◽  
Fast Fourier Transform Algorithm ◽  
Fashion Industry ◽  
Forecasting Method ◽  
Short Lifecycle ◽  
Socio Economic Factors

In the fashion industry, demand forecasting is particularly complex: companies operate with a large variety of short lifecycle products, deeply influenced by seasonal sales, promotional events, weather conditions, advertising and marketing campaigns, on top of festivities and socio-economic factors. At the same time, shelf-out-of-stock phenomena must be avoided at all costs. Given the strong seasonal nature of the products that characterize the fashion sector, this paper aims to highlight how the Fourier method can represent an easy and more effective forecasting method compared to other widespread heuristics normally used. For this purpose, a comparison between the fast Fourier transform algorithm and another two techniques based on moving average and exponential smoothing was carried out on a set of 4-year historical sales data of a €60+ million turnover medium- to large-sized Italian fashion company, which operates in the women's textiles apparel and clothing sectors. The entire analysis was performed on a common spreadsheet, in order to demonstrate that accurate results exploiting advanced numerical computation techniques can be carried out without necessarily using expensive software.

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

scholarly journals Dampak Kebijakan Tarif Impor Terhadap Ekonomi Kedelai Indonesia

2021 ◽  
Vol 5 (1) ◽  
pp. 73
Author(s):  
Dona Wahyuning Laily ◽  
Ida Syamsu Roidah ◽  
Ika Purnamasari
Keyword(s):  
Raw Materials ◽  
Public Awareness ◽  
Raw Material ◽  
Soybean Production ◽  
National Economic ◽  
The Future ◽  
The Face ◽  
The Government ◽  
Increasing Demand ◽  
Home Industries

Soybean is the main crop of the palawija system which is commonly applied in Indonesia. In the national economic system, soybean is a commodity owning strategic values due to its ability to supply nutrients needed by the community and a source of income for farmers. Demand for soybean is likely to continue to increase in line with population growth, increase in per capita income, increase in public awareness of nutritional adequacy, and the development of livestock preparation and silage industries. Given the high trend of soybean demand in the future, efforts to increase domestic soybean production are becoming increasingly important. Meanwhile in the future, the policy to protect domestic soybean farmers will be limited due to the demands of free trade. Considering that soybean is consumed in the form of processed food, the increasing demand for soybeans in the future indicates that there will be more opportunities for the development of home industries to produce this food. The need for soybeans as raw material for agro-industry cannot currently be met by domestic soybean production, both in terms of quality and quantity. This causes the need for imported soybeans to be even greater. Domestic soybean production, both in quality and quantity, seems to be unable to meet the soybean needed for industrial raw materials, thus causing a higher tendency for imported soybean demand. Therefore, import tariff policies in the face of world trade liberalization must be regulated in such a way by taking into account the interests of producers, consumers, and the government. This policy is still needed in realizing the independence of export quality soybeans. Kedelai adalah tanaman utama Sistem Palawija yang umum diterapkan di Indonesia. Dalam sistem perekonomian nasional, kedelai menjadi komoditas yang memiliki nilai strategis karena memiliki kemampuan untuk memasok hara yang dibutuhkan oleh masyarakat dan merupakan sumber pendapatan bagi petani. Permintaan kedelai akan terus meningkat seiring dengan adanya peningkatan jumlah penduduk, pertambahan pendapatan perkapita tiap penduduk, meningkatnya kesadaran masyarakat akan gizi yang cukup, serta berkembangnya industri persiapan dan silase ternak. Melihat masih tingginya trend permintaan kedelai di masa datang, upaya peningkatan produksi kedelai di dalam negeri menjadi semakin penting. Sementara itu di masa depan kebijaksanaan untuk melindungi petani kedelai di dalam negeri semakin terbatas peluangnya karena tuntutan perdagangan bebas. Mengingat sebagaian besar kedelai dikonsumsi dalam bentuk bahan pangan olahan, meningkatnya permintaan kedelai di masa depan menunjukkan semakin terbukanya peluang pengembangan industri rumah tangga untuk memproduksi bahan pangan tersebut. Kebutuhan akan kedelai sebagai bahan baku agroindustri saat ini tidak dapat dipenuhi oleh produksi kedelai dalam negeri baik dari segi kualitas maupun kuantitas. Hal ini menyebabkan kebutuhan akan kedelai impor akan semakin besar. Kedelai yang dibutuhkan untuk bahan baku industri tampaknya tidak dapat dipenuhi oleh produksi kedelai dalam negeri, baik kualitas maupun kuantitasnya, sehingga menyebabkan kecenderungan permintaan kedelai impor semakin tinggi. Oleh karena itu, kebijakan tarif impor dalam menghadapi liberalisasi perdagangan dunia harus diatur sedemikian rupa dengan memperhatikan kepentingan produsen, konsumen, dan pemerintah. Kebijakan ini tetap diperlukan dalam mewujudkan kemandirian kedelai kualitas ekspor.

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 RAW MATERIAL INVENTORY PLANNING OF PATIENT MENU USING MATERIAL REQUIREMENT PLANNING (MRP) IN RSIA KENDANGSARI MERR SURABAYA

2021 ◽  
Vol 31 (1) ◽  
pp. 14
Author(s):  
Dewi Sri
Keyword(s):  
Raw Materials ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Raw Material ◽  
Production Schedule ◽  
Purchase Order ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Master Production Schedule ◽  
Object Of Study

Introduction: Material Requirement Planning (MRP) is a technique or a logical procedure to translate the Master Production Schedule (MPS) of the finished goods or end item into the net requirements for some of the components needed to implement the MPS. MRP is used to determine the amount of material needs to support the Master Production Schedule and when the material needs to be scheduled.Methods: The study is conducted on 13 August 2018 until 12 September 2018 at the installation Nutrition RSIA Kendangsari Merr Surabaya. Collecting data in this study using several methods, including: observation- This stage is conducted in all parts related to the object of study, starting from the Purchase Order (PO) by a head cook up to raw material stored in the storage, discussion- author interviews and collects data to communicate and discuss with the respondents. Respondents in this study are the head of the nutrition unit and head cook of RSIA who have the authority doing the purchasing.Results: Planning of procurement of raw materials to the menu rawon in RSIA can use the Exponential Smoothing method. The discussion has compared two methods of forecasting and the results are consistent with the demand’s patterns of Simple Moving Average method, Exponential Smothing. Forecasting has the lowest error rate by using Exponential Smoothing. The second conclusion is a technique of determining the appropriate Material Requirement Planning in raw material procurement to menu rawon in RSIA is using Lot for Lot.

Sign in / Sign up

Export Citation Format

Share Document