scholarly journals The Capacitated Sustainable EOQ Models: Models Considering Tax Emissions

2019 ◽  
Vol 21 (1) ◽  
pp. 12
Author(s):  
Sri Kurnia Dwi Budi Maulana ◽  
Dana Marsetiya Utama ◽  
Mochammad Samsul Asrofi ◽  
Inggit Sekar Ningrum ◽  
Nidaul Alba ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Numerical Analysis ◽  
Raw Materials ◽  
Decision Makers ◽  
Lot Size ◽  
Environmental Aspects ◽  
Inventory Costs ◽  
Eoq Models ◽  
Capital Constraints ◽  
Total Inventory

The study investigated problems of determining the lot size by considering sustainability and capital constraints for purchasing raw materials and taxes. By using the Sustainable EOQ (SEOQ) models that considered environmental aspects, the researchers also evaluated the capital constraints. The proposed models were used to minimize total inventory costs. In this study, there was a practical numerical analysis and sensitivity analysis to help decision-makers and policies on inventory problems. Finally, the experimental results showed that the proposed models were effectively used to solve the problems.

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 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 Simulation-Based Optimization of a Two-Echelon Continuous Review Inventory Model with Lot Size-Dependent Lead Time

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1014
Author(s):  
Ibrahim Alharkan ◽  
Mustafa Saleh ◽  
Mageed Ghaleb ◽  
Abdulsalam Farhan ◽  
Ahmed Badwelan
Keyword(s):  
Supply Chain ◽  
Lead Time ◽  
Shop Floor ◽  
Lot Size ◽  
Continuous Review ◽  
Inventory Costs ◽  
Size Dependent ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Total Inventory

This study analyzes a stochastic continuous review inventory system (Q,r) using a simulation-based optimization model. The lead time depends on lot size, unit production time, setup time, and a shop floor factor that represents moving, waiting, and lot size inspection times. A simulation-based model is proposed for optimizing order quantity (Q) and reorder point (r) that minimize the total inventory costs (holding, backlogging, and ordering costs) in a two-echelon supply chain, which consists of two identical retailers, a distributor, and a supplier. The simulation model is created with Arena software and validated using an analytical model. The model is interfaced with the OptQuest optimization tool, which is embedded in the Arena software, to search for the least cost lot sizes and reorder points. The proposed model is designed for general demand distributions that are too complex to be solved analytically. Hence, for the first time, the present study considers the stochastic inventory continuous review policy (Q,r) in a two-echelon supply chain system with lot size-dependent lead time L(Q). An experimental study is conducted, and results are provided to assess the developed model. Results show that the optimized Q and r for different distributions of daily demand are not the same even if the associated total inventory costs are close to each other.

scholarly journals PENDAPATAN USAHA DAN PERSEDIAAN BAHAN BAKU INDUSTRI BAWANG GORENG (Studi Kasus Industri Bawang Goreng “Uda Saprudin”)

2020 ◽  
Vol 13 (2) ◽  
pp. 8-17
Author(s):  
Herlena Bidi Astuti ◽  
Yesmawati Y ◽  
Linda Harta ◽  
Reswita R
Keyword(s):  
Lead Time ◽  
Raw Materials ◽  
Raw Material ◽  
Added Value ◽  
Operating Income ◽  
Inventory Costs ◽  
The Past ◽  
Total Inventory ◽  
C Value

Processing shallots into fried onions is one of the agro-industry businesses with the main raw material of shallots. The fried onion home industry is a downstreaming of agricultural commodities by providing added value from the raw materials of shallots, in the process of production competition the industry must conduct management that will produce raw materials to ensure obtaining products. The purpose of this study was to determine the operating income of fried onions and determine the management of raw materials in the "Uda Saprudin" fried onion industry in Bengkulu City. The method used in this study is the calculation of income, R / C ratio, and management of raw materials using EOQ, Safety Stock, Reorder Points, lead time and total inventory costs. This research is a case study conducted in February 2019 with the data used is the data of the past year (2018). From the research results obtained R / C value of 1.36 and the management of raw material requirements recognized EOQ value: 6.546 Kg, Reorder Point value: 6.329 Kg / Month, lead time: 0.5 months and Total inventory costs: Rp. 163,676,047 per year.

Reducing the Bullwhip effect in a supply chain network by application of optimal control theory

2018 ◽  
Vol 52 (4-5) ◽  
pp. 1377-1396 ◽  
Author(s):  
Ali Sabbaghnia ◽  
Jafar Razmi ◽  
Reza Babazadeh ◽  
Behzad Moshiri
Keyword(s):  
Supply Chain ◽  
Control Variable ◽  
Bullwhip Effect ◽  
Feedback Loops ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Bicycle Industry ◽  
Inventory Costs ◽  
Network Layers ◽  
Total Inventory

Controlling the bullwhip effect and reducing the propagated inventory levels throughout the supply chain layers has an important role in reducing the total inventory costs of a supply chain. In this study, an optimal controller that considers demand as control variable is designed to dampen propagated inventory fluctuations for each node throughout the supply chain network. The model proves to be very useful in revealing the dynamic characteristics of the chain and provides a proper interface to study decisions taken into account at each node of the supply chain in different periods by decision makers (DMs). In the proposed approach, two feedback loops and online updated values of net stock quantities are used for calculation of the orders. To investigate the efficiency of the proposed approach, a real case of bicycle industry is conducted. The acquired results justify the efficiency of the proposed approach in controlling and dampening the bullwhip effect and reducing inventory levels, net stock quantities and inventory attributed costs throughout the supply chain network layers.

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.

Optimalisasi Persediaan Bahan Baku Keripik Kentang Dengan Metode Economic Order Quantity (Studi Kasus Di Agronas Gizi Food)

2019 ◽  
Vol 6 (01) ◽  
pp. 68-76
Author(s):  
Stefani Natalia Dinda Advenia ◽  
Maria Puri Nurani ◽  
Kukuk Yudiono
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Safety Stock ◽  
Inventory Costs ◽  
Material Supply ◽  
Analysis Technique ◽  
Company Policy ◽  
Total Inventory ◽  
Supply Costs ◽  
The Cost

The optimalization of raw materials supply is intended to meet the needs of raw materials for the process of the production process the future; the activity of controlling raw materials manages the implementation of necessary supply in accordance with the required amount and minimal cost, which includes the problem of purchasing raw materials, storing and maintaining materials, controlling the output of the material when materials are needed and maintaining the optimal supply amount. The raw material supply control can be analyzed using the EOQ method as one of the choices in comparing the implemented company policies. This research was conducted at Agronas Gizi Food. The analysis technique used is by comparing the results of company policy calculation and the EOQ method. The calculation of company policy includes the cost of ordering  (S) with the results of Rp. 183,800 / order, supply costs (H) with a result of Rp.859 / Kg, total inventory costs (TIC) that must be spent Rp.5,689,560, the frequency of purchase 30 times, with an average purchase of 1500 kg / year while the calculation method EOQ includes economical purchases (Q*) with results of 4198 kg, frequency of purchases (F) with the result 10 times a year, total inventory costs (TIC) with the result of Rp.3,605,795, safety stock Rp.3,605,795, and ROP 234 Kg. Based on the analysis technique on raw material for potato chips in Agronas Gizi Food, it can be concluded that it is not optimal because the calculation the results of company policies are greater than the EOQ method.

scholarly journals MODEL PROGRAM DINAMIS UNTUK LOT SIZE MULTI ITEM DENGAN KENDALA KAPASITAS GUDANG

2019 ◽  
Vol 14 (1) ◽  
pp. 21
Author(s):  
Dana Marsetiya Utama
Keyword(s):  
Dynamic Programming ◽  
Programming Model ◽  
Raw Materials ◽  
Model Program ◽  
Lot Size ◽  
Planning Period ◽  
Inventory Cost ◽  
Proposed Model ◽  
Total Inventory ◽  
Dynamic Programming Model

Persediaan bahan baku merupakan aktifitas yang penting dalam proses produksi. Pada makalah ini, model mempertimbangkan kuantitas dan periode pemesanan. Dalam model ini, pembeli tunggal membeli beberapa bahan baku dari satu pemasok. Permintaan bahan baku bersifat deterministik dan bervariasi untuk periode waktu. Selain itu, biaya pesan dan biaya simpan untuk periode perencanaan adalah tetap. Kami telah mengembangkan model pemrograman dinamis untuk mengatasi masalah ini. Model pemrograman dinamis ini dikembangkan dari algoritma Wagner-Whitin. Model program dinamis yang diusulkan mempertimbangkan multi item dan kendala kapasitas gudang. Untuk menguji performa dari model, peneliti melakukan beberapa percobaan numerik. Hasil percobaan numerik model pemrograman dinamis usulan menunjukan total biaya persediaan lebih optimal dibandingkan dengan metode EOQ. Hasil percobaan ini menunjukkan model usulan efektif minimasi total biaya persediaan. AbstractInventory of raw materials is an essential activity in the production process. In this paper, the model considers the quantity and order period. In this model, a single buyer buys several raw materials from one supplier. The demand for raw materials is deterministic and varies for a period of time. Besides, the message costs and save costs for the planning period are fixed. We have developed dynamic programming models to overcome this problem. This dynamic programming model was developed from the Wagner-Whitin algorithm. The proposed dynamic program model considers multi items and warehouse capacity constraints. To test the performance of the model, researchers conducted some numerical experiments. The numerical experimental results of the dynamic programming model suggest that the total inventory cost is more optimal compared to the EOQ method. The results of this experiment indicate the proposed model effectively minimizes the total cost of inventory.Keywords: Multi Item; Inventory; Wagner Whitin; Warehouse Constraints; Dynamic Programming

scholarly journals Analysis Of Stock Control Of Raw Materials Of Dzohir Noodles In Bengkulu

2022 ◽  
Vol 3 (1) ◽  
Author(s):  
Monika Ahmelia ◽  
Herlin Herlin ◽  
Abdul Rahman
Keyword(s):  
Wheat Flour ◽  
Lead Time ◽  
Raw Materials ◽  
Raw Material ◽  
Inventory Cost ◽  
Safety Stock ◽  
Stock Control ◽  
Inventory Costs ◽  
Total Inventory ◽  
Research Period

This study aims to analyze the stock inventory control of Mie Dzohir's raw materials in Bengkulu. The analytical method used is Economic Order Quantity (EOQ), Reorder Point (ROP), Total Inventory Cost (TIC) and Safety Stock (SS). The results showed that to meet the raw material needs of 91,375 kg during the research period, from January 2020 to December 2020 (12 months), the number of economical purchases/EOQ of wheat flour raw materials that had to be made by the Mie Dzohir factory in Bengkulu was as much as 5,372 kg for each order with a purchase frequency of 17 times for a period from January 2020 to December 2020. Reorders or reorder points (ROP) can also be determined, namely reordering should be done when 345 kg of inventory is in warehouse, with a lead time of 1 days so as not to hamper the company's production process. The total inventory cost (TIC) can also be determined, namely the total cost of raw material inventory of Rp. 3.572.188, - therefore, it can save on inventory costs of Rp. 1.051.697,- .Safety stock (SS) of 95 kg which must be in the warehouse, this is intended therefore, there is no shortage of wheat flour raw materials if there is a delay in the delivery of raw materials.

scholarly journals Penerapan Metode EPQ(Economic Production Quantity) Pada Pengendalian Bahan Baku Laundry Di Samarinda Laundry Mart Barbasis Android

2020 ◽  
Vol 22 (1) ◽  
pp. 64-72
Author(s):  
Hanifah Ekawati ◽  
Pitrasacha Adytia ◽  
Yunita Yunita
Keyword(s):  
Raw Materials ◽  
Raw Material ◽  
Optimal Time ◽  
Optimal Production ◽  
Inventory Costs ◽  
Economic Production Quantity ◽  
Economic Production ◽  
Production Quantity ◽  
Total Inventory ◽  
Production Frequency

Samarinda Laundry Mart is a business that provides laundry services, besides that it is also a supplier of laundry raw materials in Samarinda. Control of laundry raw materials in the laundry business is a complicated problem. Therefore one method that can be used for raw material control is the EPQ method (Economic Production Quantity) where the EPQ method can determine the optimal production level, optimal production frequency, optimal time cycle to minimize total inventory costs. The results of this study are made inventory control applications using the EPQ method that can make calculations automatically. Only by entering monthly data that is already available. Users can also make transactions using the application so that all data has been integrated in the database to facilitate management in the laundry business. In addition, this application can also print transaction reports and turnover reports.

Sign in / Sign up

Export Citation Format

Share Document