scholarly journals Optimasi Perencanaan Produksi Dengan Menggunakan Metode Goal Programing (Studi Kasus)

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Didi Asmadi ◽  
Prima Denny Sentia ◽  
Septian Misbahul
Keyword(s):  
Production Planning ◽  
Goal Programming ◽  
Raw Materials ◽  
Programming Method ◽  
Raw Material ◽  
Material Management ◽  
A Company

Perencanaan produksi merupakan hal yang sangat penting bagi perusahaan, karena dalam proses perencanaan ini akan menentukan jumlah produk yang akan di produksi. Dalam penelitian ini, permasalahan yang terjadi disebabkan karena perusahaan tidak memprediksi fluktuasi permintaan dengan tepat sehingga banyak produk yang dihasilkan mengalami penumpukan.Penumpukan yang terjadi merupakan kerugian karena penggunaan bahan baku yang berlebihan untuk produk yang tidakterjual. Oleh karena itu, pengelolaan bahan baku harus dilakukan dengan tepat. Dalam penelitian ini, metode yang digunakan untuk memprediksi permintaan adalah Winter dan goal programming untuk optimasi bahan baku. Metode Goal programming digunakan karena terdapat lebih dari satu fungsi tujuan dalam permasalahan.Penggunaan metode winter ini menghasilkan jumlah permintaan dengan tingkat akurasi 90% dari roti bandung 4.040 pcs, roti meises 4.149 pcs, roti tawar kupas 3.315 pcs, roti selai 4.095 pcs. Hasil yang diproleh diharapkan mampu memprediksi permintaan secara tepat sehingga penggunaan bahan baku dapat dioptimalkan menggunakan goal programming.   Production planning is a very important key for a company, because production planner will decide the amount of products that will be produced.In this study,the problem occurred is that the company did not predict the exact demand fluctuation therefore there are many amount of products cumulated.This cumulation is also because the used of excessive raw materials for unsold products. Therefore the exact raw material management should be applied.In this study,the method that used to predicting the demand is Winter and Goal programming for the raw material optimization.Goal Programming method is used because there are more than one(fungsi tujuan)in one case.The result of Winter method is the amount of demand with 90% level of accuracy from roti bandung is 4040 pcs,roti meises is 4149 pcs,roti tawar kupas is 3315 pcs,and roti selai is 4095 pcs.The results is expected can be predicted the exact demand therefore the used of raw materials could be optimized using goal programming method.

scholarly journals Perancangan alat bantu untuk memperbaiki proses perencanaan produksi pada PT X

2019 ◽  
Vol 19 (1) ◽  
pp. 21-34
Author(s):  
Hans Gerald Regawa
Keyword(s):  
Production Process ◽  
Production Planning ◽  
Raw Materials ◽  
Raw Material ◽  
Planning System ◽  
Order System ◽  
System A ◽  
Work In Process ◽  
Make To Order ◽  
A Company

Production planning is part of the operational management that is important in a company. By managing production planning properly, the production process in a company will be able to run better. PT X is a company that produces vehicle spareparts for private cars. The company runs make to order system to fulfill the production procss. In the make to order system, a new product will begin to be produced by the company if there is an order from the customer. In this system, a company has inventory i.e. raw material and work in process. The problem are PT X have lack of raw materials and the absence of lead time given by the company to customers about when a product will be sent. To overcome this problem, improvements are made to the existing production planning system. Improvements begin by changing the way raw materials are purchased. This is done by treating the system with order point. With this system, company will never experience a shortage of raw materials because when raw material below order point, company must immediately order new raw materials. Thus the production process will not be disturbed and can run smoothly. In determining when a product will be completed and sent to customers, a production planning system with DSS tools (decision support system) is made using Microsoft Excel tools. By using DSS, the system will automatically display when a product will be finished and when it can be sent to the customer, when to buy raw materials, and how much production order is. Accordingly, the company can provide certainty of information to customers when the products have been produced and shipped.

Determination of Optimal Production Number by Considering the Use of Raw Materials Using Goal Programming Approach

2018 ◽  
Vol 7 (3) ◽  
Author(s):  
Ikhsan Siregar
Keyword(s):  
Production Planning ◽  
Goal Programming ◽  
Raw Materials ◽  
Programming Method ◽  
Programming Approach ◽  
Production Plan ◽  
Optimal Production ◽  
Good Production ◽  
Actual Method

The company produces PVC pipes in Medan city is experiencing problems in the form of a higher number of requests compared to the production number. This is because the company does not have a good production plan which is the results in not meeting consumer demand. For this reason, a good and integrated production planning is needed by using the goal programming method. Production planning carried out with goal programming aims to maximize company profits. The results shows that by using the goal programming method, the optimal production number was obtained at each type of 2-inch ECO JIS D pipe products of 42851 units, 3-inch ECO JIS D pipe products of 54445 units and 4 inches of ECO JIS D pipe products 24480 units. In addition, by using this method the company profits about Rp. 446,620,100 is greater than the actual method applied by the company.

scholarly journals Penerapan metode fuzzy sugeno untuk prediksi persediaan bahan baku

2019 ◽  
Vol 9 (2) ◽  
pp. 12-20
Author(s):  
Julio Warmansyah ◽  
Dida Hilpiah
Keyword(s):  
Fuzzy Logic ◽  
Raw Materials ◽  
Mean Absolute Percentage Error ◽  
Raw Material ◽  
Percentage Error ◽  
Human Power ◽  
Absolute Percentage Error ◽  
Input Variables ◽  
A Company

 PT. Cahaya Boxindo Prasetya is a company engaged in the manufacture of carton boxes or boxes. The company's activities also include cutting and printing services using machinery and human power. The problem faced in this company is the difficulty of predicting the amount of inventory of raw materials that will be  included in the production. The remaining raw materials for production will be used as the final stock to get the minimum, the goal is to reduce excess stock Overcoming this problem, fuzzy logic is used to predict raw material inventories by focusing on the final stock. In this study using Fuzzy Sugeno, with three input variables, namely: initial inventory, purchase, production, while the output is the final stock. Determination of prediction results using defuzzification using the average concept of MAPE (Mean Absolute Percentage Error). The results obtained, using the Fuzzy Sugeno method can predict the inventory of raw materials with a MAPE value of 38%. 

scholarly journals PERENCANAAN BAHAN BAKU DAN HASIL PRODUKSI MENGGUNAKAN METODE LINIER PROGRAMMING SIMPLEK

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Monika Handayani ◽  
Eka Kusuma Dewi
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Simplex Method ◽  
Raw Materials ◽  
Raw Material ◽  
Planning System ◽  
Testing System ◽  
Basic Solution ◽  
Linear Programming Method

<p>CV. Baja Utama Landasan Ulin is a business entity that manufactures various products using the basic ingredients of iron. In the management of raw materials for the production of common regulatory process raw materials into sections for further processing. This setting is often done manually without doing careful planning, so that at the end of each production process there are many remaining pieces of the raw materials that should be used in production. In addition to the determination of the production is necessary to reference how the product should be made for each type of existing products. This is often an important factor that pushed for the optimization of production planning in determining the number of products for each type of product and raw material consumption.Linear Programming is one of the methods used in production planning to regulate the use of raw materials is limited. Simplex method is part of the linear programming method that can be used in the production planning system implementation. Simplex method identifies an initial basic solution and then move systematically to other basic solution that has the potential to improve the value of the objective function.The calculation result of production planning using the simplex method can be used as a reference in the decision making production planning. By building an application using the simplex method can assist in the calculation of production peencanaan more efficiently and effectively. Accuracy testing system constructed show significant results with great value reached 94% level of accuracy.<br />Keywords: simplex, production planning, the maximum gain, linear programming</p>

scholarly journals Selection of Fish Raw Material Suppliers by Integrating ANP and Topsis Methods in CV. Riki Utama Mandiri

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Aula Fajar Iman Sakti ◽  
Wiwik Sulistiyowati
Keyword(s):  
Supplier Selection ◽  
Raw Materials ◽  
Rank Order ◽  
Raw Material ◽  
Network Process ◽  
The Common ◽  
Common Problems ◽  
Frozen Fish ◽  
A Company ◽  
Selection Of

CV. Riki Utama Mandiri is a company in distributing an economic fish frozen product. This company distributed any kind of retail and wholesaler, both domestic and export. They distributing many frozen fish products variant such as Patin Fillet and Shark Fin. The all raw materials of those frozen seafood was obtained by three different suppliers. The common problems found in CV. Riki Utama Mandiri mostly about raw patin fish supplier which often committed delivery delays.  The purpose of this research is to fixing the supply chain management in deciding the more accurate selections of raw materials supplier. To overcome the common problems that happen. Analytical network process (ANP) will simplify the criteria weight values and sub criteria of each supplier. Meanwhile, technique for others reference by similarity to ideal solution (TOPSIS) method is used for giving a rank order of the alternative supplier. This research is expected for being a consideration for the company in obtaining a good and more effective kind of raw supplier. We also expecting the company for tighten supplier selection more effective way so that it can fullfilled the existing standard. Also to overcome the common problems such as delivery delays, competing raw materials with uncertain quality, and difficulty in sort out the raw materials due to size issues.

scholarly journals ADDED VALUE ANALYSIS ON FRIED ONION OF UD. SAFARI BAWANG GORENG IN KELURAHAN KEBUN TEBENG BENGKULU CITY

2018 ◽  
Vol 8 (1) ◽  
pp. 62-70
Author(s):  
Zuhardi Perdana Putra ◽  
Reswita Reswita Reswita ◽  
Irnad Irnad Irnad
Keyword(s):  
Economic Growth ◽  
Raw Materials ◽  
Value Added ◽  
Raw Material ◽  
Added Value ◽  
Value Analysis ◽  
Horticultural Crops ◽  
Processed Products ◽  
A Company

ABSTRACTAgroindustry is an agriculture based industry that has an important role in economic growth in Indonesia. One of the agricultural subsector is horticultural crops, namely onion. The need for onion consumption in Indonesia has always increased. In the Bengkulu city there is a company engaged in the industry of fried onions are "UD. Safari Bawang Goreng". This research is done with consideration of the company has long standing, big enough company, and produce about 336 kg/day. Fried onions are processed products that are processed from the main source of raw material is onion. The processed onion comes from Brebes Java. To know the process can be done by the method of observation, and participation. Processed red onion products produce added value that can be analyzed by Hayami method. The process of onion processing into fried onions consists of several stages, namely the provision of raw materials, onion gaebage, sorting, slicing onion, affixing onion with flour, frying, pressing, packaging. The process of onion treatment into fried onions is called value added. The added value obtained in this study amounted to Rp 9549.65 / Kg BB.Keywords: Fried Onion, Hayami Method, Added Value.

scholarly journals Monte Carlo Simulation and Scenario Analysis Based Limestone Quarry Production Planning

2021 ◽  
Vol 12 (1) ◽  
pp. 41-45
Author(s):  
Kausar Sultan Shah ◽  
Safi Ur Rehman
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Chemical Composition ◽  
Production Planning ◽  
Scenario Analysis ◽  
Raw Materials ◽  
Raw Material ◽  
Mix Design ◽  
Efficient Planning ◽  
The Impact

The key factor behind raw mix design in the cement factory is the appropriate production planning, resulting in high-quality raw material. Quarry managers usually come up with uncertainty-related raw materials due to variations in chemical composition. These uncertainties required efficient planning in terms of useful insight into this problem. This research provides a detailed explanation of scenario analysis of raw materials used in cement manufacturing using Monte Carlo simulation (MCS) and indices. Scenario analysis is used to predict the possibility of best, worst and most likely cases of raw material’s quality. Whereas, Monte Carlo simulation is used to evaluate the inherent uncertainty associated with chemical composition values in order to analyze the impact of truly unpredictable scenarios. The predictive results help in decisions related to production planning, raw mix design optimization and increasing the probability of designing the best plan.

scholarly journals IDENTIFIKASI KENDALA DALAM PROSES PRODUKSI DAN DAMPAKNYA TERHADAP BIAYA PRODUKSI PADA UD. RISKY

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Intan Purwatianingsih Sihadi ◽  
Sifrid S. Pangemanan ◽  
Hendrik Gamaliel
Keyword(s):  
Production Process ◽  
Raw Materials ◽  
Production Costs ◽  
Raw Material ◽  
Internal Constraints ◽  
Industrial Companies ◽  
Constraint Theory ◽  
The Impact ◽  
A Company ◽  
Theory Of Constraint

Constraints are activities that prevent companies from carrying out production activities. Along with the increasingly competitive world economy today, industrial companies are required to be more sensitive in anticipating constraints that occur both internally and externally. These constraints must be considered by the company because it can hamper the production process which has an impact on production costs as well as sales volumes which ultimately cause losses to the company. One tool that can identify constraints of a company is the Constraint Theory. This study aims to find out what constraints occur in the production process and the impact of these constraints on production costs. The method used in this study is descriptive. The results of this study are internal constraints are engine damage and external constraints are delays in the delivery of raw materials. The impact of these constraints on production costs is the loss of raw material costs and an increase in factory overhead costs.Keywords: Constraints, Production Cost, Theory of Constraint

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.

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