scholarly journals Optimizing Production Process through Production Planning and Inventory Management in Motorcycle Chains Manufacturer

2018 ◽  
Vol 9 (2) ◽  
pp. 43
Author(s):  
Shelvy Kurniawan ◽  
Steven Sanjaya Raphaeli
Keyword(s):  
Production Planning ◽  
Inventory Management ◽  
Decomposition Method ◽  
Moving Average ◽  
Order Quantity ◽  
Production Schedule ◽  
Multiplicative Decomposition ◽  
Additive Decomposition ◽  
Transportation Model ◽  
Total Cost

Based on the data, there were still shortages of production from year to year and demand wereunstable in motorcycle chains manufacturer in Indonesia. To overcome these problems, the purpose of this research was to make production planning and inventory control consisting of forecasting, aggregate planning, Master Production Schedule (MPS), and Material RequirementsPlanning (MRP). Forecasting used the additive decomposition method (average of all data), multiplicative decomposition (centered on moving average), and winter method (additive and multiplicative). Aggregate planning used chase strategy, level strategy, and transportation model. Moreover, MRP used lot for lot, Economic Order Quantity (EOQ), and Periodic Order Quantity (POQ) methods. The test shows several results. First, the best forecasting is additive decomposition (average of all data) with MAD value of 3.033,57, MSE with 13.590.490,and MAPE with 10,083%. Second, the best aggregate planning is transportation model with the total cost of Rp7.708.398.390,00. Last, the best MRP method is the lot for lot with total cost Rp7.162.567.653,00.

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 PRODUCTION PLANNING RAMBAK CRACKER TO MEET DEMAND AT UMKM DWI JAYA KENDAL

2021 ◽  
Vol 1 (01) ◽  
pp. 6
Author(s):  
Dicky Hendra Saputra ◽  
Andre Sugiyono ◽  
Brav Deva Bernardhi
Keyword(s):  
Production Planning ◽  
Capacity Planning ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Production Schedule ◽  
Master Production Schedule ◽  
Make To Stock ◽  
Rough Cut

UMKM Dwi jaya merupakan suatu perusahaan kerupuk rambak yang terletak di Jl. Kyai Guru Sulaiman, Pegandon, Kabupaten Kendal, Jawa Tengah 51357. UMKM Dwi Jaya membuat dua produk yaitu kerupuk rambak sapi dan kerupuk rambak kerbau. Di UMKM Dwi jaya sendiri menggunakan sistem make to stock yaitu membuat suatu produk akhir untuk disimpan dan kebutuhan konsumen akan diambil dari persediaan di gudang. Tingkat persediaan tergantung pada waktu respon permintaan pelanggan dan tingkat vabilitas permintaan.Perusahaan tersebut memiliki sebuah masalah yaitu jumlah permintaan yang dihasilkan lebih banyak dari jumlah produksi yang ada sehingga menyebabkan kerupuk rambak tersebut mengalami kekurangan, Tindakan yang dapat dilakukan untuk mengatasi permasalahan tersebut yaitu membuat rencana produksi agar dapat memenuhi permintaan tepat waktu, tepat jumlah dengan biaya minimum yaitu dengan melakukan peramalan produksi dengan menggunakan Exponential smoothing kemudian dilanjutkan dengan menggunakan perencaaan agregat dengan menggunakan metode heuristik dan penjadwalan  produksi menggunakan Master Production Schedule (MPS) sesuai dengan metode heuristik yang terpilih, Setelah itu MPS  akan diverifikasi dengan menggunakan menggunakan Rough Cut Capacity Planning (RCCP) agar bisa mengetahui layak tidaknya jadwal dari MPS tersebut. Lalu dilakukan rekomendasi perbaikan untuk mengurangi biaya produksi, biaya simpan dan biaya tenaga kerja dengan menggunakan metode-metode yang tepat.Dari hasil penelitian, forecasting dengan menggunakan metode Exponential smoothing dan metode moving average menghasilkan peramalan terbaik total permintaan untuk kerupuk rambak sapi sebesar 88625 gram dan untuk kerupuk rambak kerbau sebesar 89390,52 gram, pada Aggregate Planning dengan menggunakan metode heuristik didapatkan hasil dengan solusi terbaik adalah solusi pengendalian persediaan (level strategy) total biaya terendah sebesar Rp. 0. (MPS) sesuai dengan solusi terbaik pada Aggregate Planning dan sesuai dengan kapasitas mesin dan pekerja yang telah di verifikasi menggunakan Rough Cut Capacity Planning (RCCP)

scholarly journals Pengendalian Persediaan Barang Dagang Menggunakan Model Probabilistik (Studi Kasus: Toko XYZ) Merchandise Inventory Control Using Probabilistic Model (Case Study : XYZ Store)

2020 ◽  
Vol 18 (1) ◽  
pp. 87
Author(s):  
Dewi Diniaty
Keyword(s):  
Probabilistic Model ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Economic Order ◽  
Order Quantity ◽  
Review System ◽  
Model Case ◽  
Safety Stock ◽  
Total Cost ◽  
Cooking Oil

Abstrak Toko XYZ adalah toko sembako dengan komoditi barang dagangnya yaitu beras, gula, minyak goreng, dan tepung. Permasalahan yang dihadapi adalah permintaan konsumen yang berfluktuasi dan lead time barang dagang yang tidak pasti, sehingga menyebabkan kekurangan persediaan yang berpengaruh kepada pelayanan terhadap konsumen. Tujuan dari penelitian ini menentukan  safety stock yang optimal dengan perencanaan persediaan dan mengetahui ongkos persediaan yang optimal dan kapan waktu pemesanan kembali yang ekonomis dengan menggunakan EOQ model probabilistik. Metode peramalan yang digunakan yaitu Weight Moving Average dan Exponential Smoothing, kemudian dilakukan perhitungan EOQ Probabilistik. Hasil Safety Stock optimal pada beras 22 karung, kuantitas pemesanan 224 karung dan total ongkos persediaan Rp. 368.671.032/tahun. Untuk gula 6 karung, kuantitas pemesanan 92 karung dan total ongkos persediaan Rp. 254.573.746/tahun. Untuk minyak goreng sebesar 15 jerigen, kuantitas pemesanan 120 jerigen dan total ongkos persediaan Rp. 125.072.163/tahun. Untuk tepung 18 karung kuantitas pemesanan 123 karung dan total ongkos persediaan sebesar Rp. 125.909.965/tahun.Kata kunci: Continuos Review System, Economic Order Quality Probabilistik, Inventory, Weight Moving Average Exponential Smoothing. Abstract XYZ Store is groceries shop with merchandise commodities, namely rice, sugar, cooking oil, and flour. The problems faced are fluctuating consumer demand and uncertain lead times for merchandise, causing inventory shortages that affect the service to consumers. The purpose of this study is to determine the optimal safety stock with inventory planning and find out the optimal inventory costs and when to reorder economically using the EOQ probabilistic model. Forecasting method using the Weight Moving Average and Exponential Smoothing methods, then the Probabilistic EOQ calculation is performed. The optimal safety stock for rice merchandise is 22 sacks, order quantity of 224 sacks and the total cost inventory is Rp. 368,671,032/year. For sugar is 6 jerry cans, order quantity of 92 sacks and total cost of inventory is Rp. 254,573,746/year. For cooking oil is 15 jerry cans, order quantity of 120 sacks and total cost of inventory is Rp. 125,072,163/year. For flour is 18 jerry, order quantity of 123 sacks and total cost of inventory is Rp. 125,909,965/year.Keywords: Continuos Review System, Economic Order Quality Probabilistic, Inventory, Weight Moving Average Exponential Smoothing

scholarly journals Analisis Penerapan Manajemen Persediaan Bahan Baku Arm Rear Brake Kyea dengan Metode EOQ

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Ferry Utama Dwi Putra ◽  
Apid Hapid Maksum ◽  
Hamdani Hamdani
Keyword(s):  
Inventory Control ◽  
Production Planning ◽  
Inventory Management ◽  
Raw Materials ◽  
Order Quantity ◽  
Inventory Cost ◽  
Safety Stock ◽  
Good Production ◽  
Total Inventory ◽  
Operational Activities

Inventory management is an essential aspect of supporting good production planning in company business activities. The implementation of inventory management in the company is a primary need. If there is a problem in the supply of raw materials, all the company's operational activities will be disrupted. Inventories in manufacturing usually consist of raw materials, semi-finished goods, and finished goods or final products. Inventories of arm rear brake materials for the production process often experience shortages due to immature controls. This study aims to determine the inventory control of rear arm brake raw materials using the Economy Order Quantity (EOQ) method at PT. Ciptaunggul Karya Abadi. Based on the discussion results, it was found that ordering raw materials was carried out two times a year with a total order of 621 pieces with 86 pieces of safety stock and will be ordered again when raw materials collected 21 pieces. Total Inventory Cost (TIC), which was initially Rp110.264.235,00, can be saved to Rp70.598.399,00 so that the total savings that occur are Rp39.674.899,00 which is equal to 33.26%.

Optimization Research of Construction Inventory Management on Site Based on Inventory Theory

2012 ◽  
Vol 209-211 ◽  
pp. 1321-1325
Author(s):  
Ai Juan Zou
Keyword(s):  
Inventory Management ◽  
Operations Research ◽  
Economic Benefit ◽  
Lead Time ◽  
Order Quantity ◽  
Inventory Theory ◽  
Procurement Management ◽  
Total Cost ◽  
Total Inventory ◽  
Project Procurement

Inventory management is to improve economic benefit of project procurement management by means of dominating order cycle and order quantity to minimize the stocks and total cost under the circumstance of normal construction.Firstly,inventory management involves material order,and contractors need to calculate parameters such as order cycle,order fee,order quantity,stocks fee,order lead time and safe stocks in order to make the total inventory fee minimized during construction.This article applies one branch of operations research--"inventory" to optimize the inventory management.

scholarly journals Application of the Economic Order Quantity (EOQ) Method in Analyzing Rice Inventory Control.

2021 ◽  
Vol 10 (1) ◽  
pp. 1-8
Author(s):  
Artika Lestari Taraja
Keyword(s):  
Inventory Control ◽  
Inventory Management ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Optimum Level ◽  
Order Quantity ◽  
Total Cost ◽  
Inventory Costs

Problems that often occur in the trading business include excess merchandise inventory and insufficient merchandise inventory. In overcoming these problems, inventory management is needed to analyze the optimum level of inventory. The Economic Order Quantity (EOQ) method can answer the problems that are often experienced by these trading businesses. The total cost of merchandise inventory according to UD. Benget Do is IDR 83,644,065, - while according to the Economic Order Quantity (EOQ) method, it is IDR 34,345,694.93. It is proven that the number of orders is more optimal with the Economic Order Quantity (EOQ) method with savings in inventory costs of 41% of company costs.

scholarly journals Metode Dekomposisi Multiplikatif Rata-rata Bergerak Untuk Peramalan Tingkat Produksi Padi Ladang Sulawesi Tengah

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Faldi Christiawan Kadoena ◽  
Rais Rais ◽  
Lilies Handayani
Keyword(s):  
Decomposition Method ◽  
Moving Average ◽  
Seasonal Pattern ◽  
Rice Production ◽  
Multiplicative Decomposition ◽  
Random Components ◽  
Research Procedure ◽  
Central Sulawesi ◽  
Forecast Field ◽  
Tracking Signal

Field rice is a rice plants that is planted in a sedentary or shifting location. This study aims to forecast field rice production using the Multiplicative Decomposition method of moving average, and to determine the size of forecasting accuracy using Tracking signal, data used is the data from Central Sulawesi Province Field rice production in 2008-2016 obtained from the Agriculture Service of Central Sulawesi Province The research procedure is begun by analyzing the components of decomposition, namely the components of trend (T), seasonal (S), cyclic (C) and random components (I) then multiplies the value of these components. Forecasting results using the decomposition method helping by the Minitab 18 application in 2017 show that the pattern of the data contains a declining trend with the equation Yt = 1895.60 - 7.97 × t, and has a strong seasonal pattern with the expected pattern of data that increases or decreases in certain months such as March, April, August and December. The forecasting results obtained are at the control limit of Tracking signal which is between -4 to +4 that means the forecasting of rice production in the province of Central Sulawesi in 2017 using the moving average Multiplicative Decomposition method is valid

scholarly journals Prediksi Jumlah Tamu Menginap di Hotel Karlita International, Tegal, Jawa Tengah

2013 ◽  
Vol 4 (2) ◽  
pp. 661-675
Author(s):  
Haryadi Sarjono ◽  
Irwan Zulkifli
Keyword(s):  
Comparative Analysis ◽  
Linear Regression ◽  
Moving Average ◽  
Exponential Smoothing ◽  
Multiplicative Decomposition ◽  
Additive Decomposition ◽  
Central Java ◽  
Forecasting Methods ◽  
Naive Method ◽  
Weighted Moving Average

Article is forecasting comparative analysis of number of guess room occupancy at Karlita International Hotel, Tegal, Central Java using 11 forecasting methods: linear regression, moving average, weighted moving average, exponential smoothing, exponential smoothing with trend, naïve method, trend analysis, additive decomposition – CMA, additive decomposition – average all, multiplicative decomposition – CMA, multiplicative decomposition – average All. Article used 17 data from January 2012 to Mei 2013, and results after using those 11 methods were the smallest MAD is 101.69 and the smallest MSE is 15,163.95. From additive decomposition – average all method, data showed guess room occupancy forecast at Karlita International Hotel for June 2013 is 960 guess.

Sistem Informasi Pengendalian Persediaan Barang Menggunakan Metode Economic Order Quantity (EOQ)

IJAcc ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 132-139
Author(s):  
Erna Astriyani ◽  
Desy Apriani ◽  
Meri Mayang Sari
Keyword(s):  
Control System ◽  
System Design ◽  
Inventory Control ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Control System Design ◽  
Order Quantity ◽  
Microsoft Excel ◽  
Total Cost ◽  
Control Information

The system that is currently running in recording inventory at PT Berlina Tbk Tangerang is considered ineffective and efficient because it still uses paper and the process of inputting and recapping goods data is semi-computerized in Microsoft Excel. which causes problems, namely too much stock of goods so that it increases the load in the warehouse and too little stock of goods which results in an exhaustion of stock in the warehouse. To solve this problem, we need an inventory control information system. The method of analysis uses the EOQ (Economic Order Quantity) method. For the system design process using sublime as the writing language and programming PHP, and XAMPP as localhost, the database uses MySQL. This study aims to design an inventory control system in the HRD department at PT Berlina Tbk Tangerang, and to make it easier for the HRD Department to input and create inventory reports. With this research, it can produce an inventory control system design that is more effective and efficient and can find out the storage costs in the warehouse. From the calculation of the EOQ method, it is found that it is 20% smaller than the previous storage and the total cost of ordering in a year is 2x orders. Thus, it means that there is a very real difference between the inventory policies implemented by the company and the EOQ method.

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