scholarly journals Perencanaan persediaan bahan baku amoxicillin menggunakan metode material requirement planning: studi kasus

2020 ◽  
Vol 12 (3) ◽  
pp. 344
Author(s):  
Firda Pratiwi ◽  
Sawarni Hasibuan
Keyword(s):  
Linear Regression ◽  
Raw Materials ◽  
Moving Average ◽  
Raw Material ◽  
Linear Regression Method ◽  
Lot Size ◽  
Initial Stage ◽  
Material Requirement ◽  
Good Plan ◽  
The Cost

PT. XYZ is a pharmaceutical company that produces Amoxicillin. In managing its inventory, PT XYZ has not done a good plan to determine the size of raw material orders. The existence of these problems, a study was conducted with the aim of determining Amoxicillin raw material inventory planning to eliminate the accumulation of raw materials at future. The initial stage is forecasting using three methods, namely Linear Regression, Exponential Smoothing and Moving Average. Of the three forecasting methods, the Linear Regression method provides the smallest error accuracy. The chosen method of forecasting must be carried out in advance of verification test (Moving Range) to be used as a basis for planning future raw material requirements. Furthermore, calculations are carried out using the MRP method to determine the size of the order lot for each raw material and reduce the cost of saving. The lot size technique used includes Lot for Lot (LFL), Economic Order Quantity (EOQ), and Fixed Period Requirement (FPR). Of the three lot size techniques used, the LFL method provides the lowest total cost of inventory.

scholarly journals MATERIAL REQUIREMENT PLANNING UNTUK MEMENUHI PRODUKSI PADA CV. BANGUN CIPTA ARTHA DI BADUNG

2020 ◽  
Vol 9 (2) ◽  
pp. 426
Author(s):  
I Made Sugita Yasa ◽  
Kastawan Mandala
Keyword(s):  
Inventory Management ◽  
Lot Sizing ◽  
Raw Materials ◽  
Raw Material ◽  
Exact Order ◽  
Lot Size ◽  
Inventory Costs ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Total Inventory

Inventory management without Material Requirement systems in CV. Bangun Cipta Artha resulted in the lot size for each order of raw materials not optimal. One concept that can be used to plan and control raw materials is the Material Requirement Planning. This study is to determine the number of sizes of raw material orders, the exact order time, the method that produces the lowest cost for each raw material, and the effect of using MRP on inventory costs. This research conducted on 160x200cm spring bed products. Data was analyzed by making production master schedules, determining net requirements, determining lot size, and making MRP tables. Based on the results, the determination the best lot sizing is the order quantiy period which results in a total inventory cost of Rp. 26,475,220 where the total cost is lower, compared to lot for lot method which Rp. 43,464,000. part period balancing Rp. 33,106,576, and conventional method Rp.49,472,912. Keywords: Material Requirement Planning (MRP), Sizing Lot, Lot For Lot, Balancing Part Period, Period Order Quantiy

scholarly journals Integrasi Linear Regression dan Aggregate Planning untuk Perencanaan dan Pengendalian Produksi Leaf Spring Hino OW 190/200 di Industri Komponen Otomotif

2021 ◽  
Vol 13 (2) ◽  
pp. 245
Author(s):  
Deni Ahmad Taufik ◽  
Indra Setiawan ◽  
Muhammad Wahid ◽  
Abdul Rochim ◽  
Muhammad Tosin
Keyword(s):  
Linear Regression ◽  
Production Planning ◽  
Raw Materials ◽  
Raw Material ◽  
Leaf Spring ◽  
Linear Regression Method ◽  
Planning And Control ◽  
Automotive Assembly ◽  
And Control ◽  
Material Requirements

Production planning and control in a manufacturing company involves all production activities from raw material requirements to finished products. The Jakarta Automotive Components Industry is engaged in manufacturing which produces leaf spring products that are sent to several regular customers, namely the Automotive Assembly Industry. Leaf spring Hino OW 190/200 is the type of spring ordered and shipped to PT. HMMI. Based on data for the January-December 2019 period, the demand for Hino OW 190/200 leaf spring has fluctuated quite significantly. The purpose of this study was to plan and control the production process of Leaf Spring Hino OW 190/200. Forecasting for the next 12 periods is based on demand plots from the previous 12 periods, calculating the Aggregate production plan, determining the Master Production Schedule (MPS), calculating raw material requirements using the Hybrid and Lot for Lot methods. The results showed that to support the smooth production, it can be seen that the production planning for forecasting calculations using the Linear Regression method generates a model Y=319,575+3,723X. Calculation of the need for main raw materials and components in 2020 uses the Hybrid and Lot for Lot method, which is 256,182.88 kg, much smaller than the company's calculations based on 2019 data, namely 259,827.40 kg.

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.

scholarly journals Application of material requirement planning method in raw materials planning on sardine product in PT. Blambangan Foodpackers Indonesia

Food Research ◽  
2020 ◽  
Vol 4 (6) ◽  
pp. 2067-2072
Author(s):  
H.D. Susanti
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Raw Material ◽  
Lot Size ◽  
Inventory Costs ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Total Inventory ◽  
The Right ◽  
A Company

PT. Blambangan Foodpackers Indonesia is one of the big companies in the Banyuwangi area and is a company engaged in the manufacturing industry that is a company processing canned fish. The number of constraints in planning raw material inventories that cause the occurrence of excess or accumulation of raw materials and shortages causes freezing of operational costs. The implementation of the material requirement planning (MRP) system is expected to be able to find out the optimal amount of raw material inventory and the right ordering time to meet production needs with optimal costs. This study was aimed to determine the exact lot size technique based on inventory costs and to compare the MRP method with inventory in the company based on total inventory costs. The research method used was the determination of the lot size and MRP system. The results showed that the lot for lot method for ASCK cans, ASCB cans, ASTB cans, and pasta, while EOQ for ASTK cans, ASEPK cans, sugar, salt and flour. The MRP system in each raw material can be used as an indicator to minimize total inventory costs when compared to the company's method during the previous period.

scholarly journals Perencanaan dan Pengendalian Bahan Baku Sarung Batik (Studi Kasus CV. Mitra Setia Usaha)

2018 ◽  
Vol 1 (1) ◽  
pp. 24-30
Author(s):  
Debby Malinda ◽  
Tita Talitha ◽  
Jazuli Jazuli
Keyword(s):  
Textile Industry ◽  
Raw Materials ◽  
Raw Material ◽  
Business Partners ◽  
Planning And Control ◽  
Material Requirement ◽  
One Year ◽  
The Cost ◽  
And Control

Planning and controlling the needs of both raw materials and finished products is a significant thing for companies to optimize their production. This also applies to CV. Mitra Setia Usaha that  engaged in the textile industry with raw materials batik cloth. During this time, CV. Mitra Setia Usaha has not applied standard methods in the planning and control of raw material needs. Determination of the amount of raw materials so far only based on the number of consumer orders. In the last 2 (two years) (October 2014 to September 2016), the company received a request of 5.050,000 meters, but the existing supply of cotton fabric was only 4,920,500 meters. One of the methods that can be applied in the CV. Loyal Business Partners is the Material Requirement Planning (MRP). By applying this MRP-Lot for for lot (LFL) method, CV. Mitra Setia Usaha able to reduce the cost incurred in the procurement of raw materials for one year which initially amounted to 104.328.000 rupiah to 93.817.673 rupiah and can even be reduced again to 83.306.995 rupiah using the method of Order Quantity Period (POQ)

PENGARUH HARGA DAN PEMAKAIAN PERSEDIAAN BAHAN BAKU TERHADAP VOLUME PRODUKSI PADA PT. KELOLA MINA LAUT DI GRESIK

MANAJERIAL ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 66
Author(s):  
BAYU YRI WIDHARTO
Keyword(s):  
Linear Regression ◽  
Hypothesis Testing ◽  
Multiple Linear Regression ◽  
Raw Materials ◽  
T Test ◽  
Raw Material ◽  
Analysis Tool ◽  
Production Volume ◽  
F Test ◽  
Material Price

The purpose of the research was to know the affect of many factors which affected to the production volume in PT. Kelola Mina Laut Gresik. What the price of raw materials was and the used of raw materials partially and simultan eously affected on the production volume. The analysis tool which used was a model of multiple linear regression. Hypothesis testing used t test and F test, both at the significant level 5%. Based of the analysis of research on PT Kelola Mina Laut Gresik. Partially, inventory raw material price had not significant effect on the production volume, consumption of raw material inventory affected significantly of the production volume. Inventory of raw material price and the use of raw material simultan eously affect significantly to the production volume.

SELISIH BIAYA PRODUKSI SEBAGAI ALAT PENGENDALIAN MANAJEMEN PT INDO PUSAKA BERAU

2019 ◽  
Vol 3 (02) ◽  
pp. 397
Author(s):  
SAFITRI NURHIDAYATI ◽  
RIZKI AMELYA SYAM
Keyword(s):  
Raw Materials ◽  
Field Research ◽  
Analytical Tool ◽  
Production Costs ◽  
Raw Material ◽  
Labor Costs ◽  
Material Costs ◽  
Library Research ◽  
The Difference ◽  
The Cost

This study aims to analyze whether the difference that occurs in the cost of raw materials, direct labor, and factory overhead costs between the standard costs and the actual costs in PLTU LATI is a difference that is favorable or unfavorable. Data collection techniques with field research and library research. The analytical tool used is the analysis of the difference in raw material costs, the difference in direct labor costs and the difference in factory overhead costs. The hypothesis in this study is that the difference allegedly occurs in the cost of raw materials, direct labor costs, and factory overhead costs at PT Indo Pusaka Berau Tanjung Redeb is a favorable difference. The results showed that the difference in the cost of producing MWh electricity at PT Indo Pusaka Berau Tanjung Redeb in 2018, namely the difference in the price of raw material costs Rp. 548,029.80, - is favorable, the difference in quantity of raw materials is Rp. 957,216,602, - is (favorable) , the difference in direct labor costs Rp 2,602,642,084, - is (unfavorable), and the difference in factory overhead costs Rp 8,807,051,422, - is (favorable) This shows that the difference in the overall production cost budget is favorable or profitable. This beneficial difference shows that the company is really able to reduce production costs optimally in 2018.  

Use of Sugarcane Bagasse Ashes as Raw Material in the Replacement of Fluxes for Applications on Porcelain Tile

2016 ◽  
Vol 881 ◽  
pp. 383-386 ◽  
Author(s):  
Raimundo J.S. Paranhos ◽  
Wilson Acchar ◽  
Vamberto Monteiro Silva
Keyword(s):  
Mechanical Properties ◽  
Environmental Impact ◽  
Physical Properties ◽  
Sugarcane Bagasse ◽  
Sintering Temperature ◽  
Raw Materials ◽  
Raw Material ◽  
The Cost ◽  
Potential Use ◽  
Porcelain Tile

This study evaluated the potential use of Sugarcane Bagasse Ashes (SBA) as a flux, replacing phyllite for the production of enamelled porcelain tile. The raw materials of the standard mass components and the SBA residue were characterized by testing by XRF, XRD, AG, DTA and TGA. Test samples were fabricated, assembled in lots of 3 units and sintered at temperatures of 1150 ° C to 1210 ° C. The results of the physical properties, mechanical properties and SEM of the sintered samples, showed that the formulation, G4 - in which applied 10% of SBA replacing phyllite, sintering temperature 1210 ° C showed better performance as the previously mentioned properties due to the formation of mullite crystals, meeting the prerequisites of standards for enamelled porcelain tile, while reducing the environmental impact and the cost of production.

DEMAND CATEGORIZATION DAN INVENTORY MANAGEMENT PRODUK OBAT: STUDI KASUS PADA SUATU TOKO OBAT DI KOTA SOLOK, SUMATERA BARAT

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Inna Kholidasari ◽  
◽  
Lestari Setiawati ◽  
Ramanda Ramanda ◽  
◽  
...  
Keyword(s):  
Inventory Management ◽  
Control Method ◽  
Moving Average ◽  
Drug Group ◽  
Linear Regression Method ◽  
Lot Size ◽  
Drug Store ◽  
Control Drug ◽  
West Sumatra ◽  
Abc Method

Abstract This research raises the problem of controlling the inventory of medicinal products. The case study was conducted at a drug store in the city of Solok, West Sumatra, where the drug store still has stock out and over stock of various types of drugs it manages. The purpose of this study was to control drug supplies that have a high demand value. Demand data for the period February-April 2020 are grouped with demand value criteria using the Pareto Classification ABC Method. From the demand categorization process, 45 types of drugs were included in A group, which means that this drug group provides a large revenue contribution for the drugstore. Thus, the type A drug group needs more attention from drug store manager in terms of controlling drug supplies. Furthermore, forecasting is carried out for drugs belonging to A drugs group using the Moving Average Method, the Single Exponential Smoothing Method and the Linear Regression Method. The inventory control method adopted is the Economic Order Quantity (EOQ) method. The results showed that the lot size of each type of drug per order ranged from 10-122 units with a safety stock ranging from 5-50 units of product. Then the reorder points obtained ranged from 8-81 units. With the control of drug supplies in place, it is hoped that the stock out and over stock that occurs in drug stores can be minimized.

scholarly journals PEMANFAATAN LIMBAH FLY ASH DARI PEMBAKARAN BATUBARA PADA PEMBUATAN SEMEN PCC (PORTLAND COMPOSITE CEMENT) DI PT SEMEN XYZ LAMPUNG

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Dwi Septiyana Sari ◽  
◽  
Susanti Sundari
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Raw Materials ◽  
Testing Machine ◽  
Technical Aspect ◽  
Raw Material ◽  
Physical Test ◽  
Composite Cement ◽  
The Difference ◽  
The Cost

Abstract This study discusses the use of fly ash waste from coal burning on the manufacture of PCC (Portland composite cement) at PT. XYZ Lampung. The purpose of this research is to look at the technical studies and the efficiency of raw materials in the use of fly ash in cement making, in this case PCC cement (Portland Composite Cement). The steps taken in analyzing the data in this study were viewed from a technical aspect by means of a physical test, namely the cement compressive strength test at the age of 3 days, 7 days, and 28 days using the Compression Testing Machine. This test was conducted to see the comparison of the compressive strength of PCC cement using limestone and fly ash as raw materials, then calculate the difference in raw material costs in the year before and after the replacement of limestone with fly ash. The results showed that cement with the addition of fly ash after 3 days, 7 days and 28 days had an increased compressive strength value, which increased 21.69%, 16.07% and 8.05% respectively of the compressive strength of cement using limestone. The use of fly ash as a substitute for limestone has an effect on the cost of raw materials, where the difference between the cost of raw materials in 2019 and the cost of raw materials in 2018 is Rp. 39,440,952,074.

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