scholarly journals Determining the profit maximization level: an empirical investigation in Navana furniture, Bangladesh

2019 ◽  
Author(s):  
Mahadi Hasan ◽  
Nour Mohammed Chowdhury ◽  
Md. Mahmudul Alam
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Empirical Investigation ◽  
Graphical Method ◽  
Profit Maximization ◽  
Maximum Production ◽  
Maximum Profit ◽  
Profit Maximizing

Business always tries to find ways to improve its competitiveness and gain maximum profit. Organizations easily determine the maximum production and profit level through the simplex method in linear programming. This paper examined the profit maximization point for dining chair and sofa manufacturing by Navana Furniture Company, Bangladesh through simplex method in linear programming and graphical method. The findings showed that Navana Furniture Company can improve its profit by 4.03% for dining chair and sofa manufacturing cases if it follows the new profit maximizing point that is determined by this study. The findings of the paper will be helpful for the company management, shareholders as well as other companies to improve their performance.

Maksimalisasi Keuntungan Dengan Pendekatan Metode Simpleks Kasus Pada Pabrik Sosis SM

Liquidity ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 59-65 ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Optimal Combination ◽  
Optimal Input ◽  
Maximum Profit ◽  
Input Combination

The purpose of this study are to (1) determine the combination of inputs used in producing products such as beef sausages and veal sausage meatball; and (2) determine the optimal combination whether the product can provide the maximum profit. In order to determine the combination of inputs and maximum benefits can be used linear programming with graphical and simplex method. The valuation result shows that the optimal input combination would give a profit of Rp. 1.115 million per day.

scholarly journals Optimisasi Jumlah Produksi dalam Memperoleh Keuntungan Maksimal Pada Penjualan Dompet dan Tas Jimshoney “NAYA Online Shopping”

2020 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Rochmat Umar
Keyword(s):  
Linear Programming ◽  
Operational Research ◽  
Online Shopping ◽  
Graphical Method ◽  
Optimal Solution ◽  
Sensitivity Test ◽  
Graphical Methods ◽  
Maximum Capacity ◽  
Maximum Profit ◽  
Research Techniques

ABSTRACT Linear programming is one of the most widely used operational research techniques in practice and is known for being easy to understand. The method in solving linear programming in "Naya Online Shopping" is by the graphical method and compared with LINGO software. The purpose of the completion of linear programming is to optimize the amount of production in obtaining maximum profits. And an optimal solution is obtained, namely a maximum profit of IDR 1,750,000. with 50 bags of "ting-ting bags" to be purchased from agents and many "crown wallets" to be purchased from agents of 100 pieces. From the maximum capacity of the shelter 150 pieces can be maximized by purchasing as many as 50 bags and purchasing 100 pieces of wallet. From the sensitivity test, it can be concluded that each capital increase or reduction of IDR 750,000 will result in a gain or loss of IDR 12,500. Completion of linear programming with research into the operation of graphical methods and LINGO software obtained the same value. Keywords: Linear programming, Operations of graphical method operations, LINGO software, sensitivity test ABSTRAK Linear progamming adalah salah satu teknik riset operasi yang paling banyak dipergunakan dalam praktik dan dikenal karena mudah dipahami. Metode dalam penyelesaian linear progamming pada “Naya Online Shopping” yaitu dengan metode grafik dan dibandingkan dengan software LINGO. Tujuan dari penyelesaian linear progamming ini adalah untuk mengoptimalkan jumlah produksi dalam memperoleh keuntungan maksimal. Dan didapatkan solusi optimal yaitu keuntungan maksimum sebesar Rp1.750.000, dengan banyaknya tas “ting-ting bag” yang akan dibeli dari agen sebanyak 50 buah dan banyaknya dompet “crown wallet” yang akan dibeli dari agen sebanyak 100 buah. Dari kapasitas maksimal penampungan 150 buah dapat dimaksimalkan dengan pembelian tas sebanyak 50 buah dan pembelian dompet 100 buah. Dari uji sensitivitas dihasilkan bahwa setiap penambahan atau pengurangan modal sebesar Rp750.000, maka akan didapatkan keuntungan atau kerugian sebesar Rp12.500,. Penyelesaian linear progamming dengan riset operasi metode grafik dan software LINGO didapatkan hasil yang sama nilainya. Kata Kunci: Linear progamming, Riset operasi, Software LINGO, Optimasi, Pemodelan Matematik.

scholarly journals ANALISIS MAKSIMILISASI KEUNTUNGAN DENGAN METODE SIMPLEX DAN PENDEKATAN METODE SOLVER PADA CV .INDOSOTEN

2020 ◽  
Vol 30 (2) ◽  
Author(s):  
Rezky Hidayat
Keyword(s):  
Linear Programming ◽  
Production Process ◽  
Simplex Method ◽  
Programming Model ◽  
Raw Materials ◽  
Small Scale ◽  
Production Factors ◽  
Maximum Profit ◽  
The Right ◽  
A Company

The In the current era of globalization, the economic situation in Indonesia is indeed very concerning. With these conditions, many micro businesses, especially home industry businesses, have to struggle to continue carrying out product activities so that their production businesses develop. CV.Indoshoten is a small-scale company producing four main products, namely onigiri salmon flake, spicy tuna onigiri, salmon mayo onigiri and tuna mayonnaise onigiri. To maintain the continuity and development of production, steps are needed to be able to allocate raw materials and increase profits. Therefore we need an effort to use a method in determining the right combination of use of the production factors of the products made and the combination of the products produced using the linear programming model of maximization problems with the simplex method and for analysis using the solver method. The results of this study that the salmon-filled onigiri product will get a maximum profit of Rp.875,000 if the company produces 125 pieces of salmon flake onigiri and 25 pieces of salmon mayo while the tuna-filled onigiri product will get a maximum profit of Rp.626,692 if the company produces spicy tuna onigiri. 40 pcs and 107 pcs of tuna mayo. If a company has a lot of inputs that must be used for the production process and the main purpose of obtaining profits that can be used is the simplex method, whereas if the user wants to analyze variable changes so that profits remain optimal then use the solver method.

scholarly journals Optimasi Pendapatan Pembuatan Spanduk dan Baliho Menggunakan Metode Simpleks (Studi Kasus: Usaha Percetakan Shiau Printing)

2020 ◽  
Vol 7 (2) ◽  
pp. 278
Author(s):  
Matheus Supriyanto Rumetna ◽  
Otniel Otniel ◽  
Friendly Litaay ◽  
Carlie Sibarani ◽  
Ruben Tahrin ◽  
...  
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Optimization Problems ◽  
Production Optimization ◽  
Maximum Profit ◽  
Production Resources

Shiau Printing is one of the businesses engaged in printing. This business often experiences production optimization problems, namely in terms of determining the maximum profit from the two types of products produced, namely banners and billboards. Constraints faced in the form of limited production resources, such as flexi materials. This problem can be solved by implementing linear programming using the simplex method and then testing it using the POM-QM application for Windows. Based on the results of calculations that have been made, a decision was drawn that the Shiau Printing could obtain a maximum income of IDR 15,000,000 -, / month.

scholarly journals ANALISIS PENENTUAN LUAS PRODUKSI PADA PERUSAHAAN ROTI BANGKIT JAYA DI KOTA KUPANG

2020 ◽  
Vol 13 (3) ◽  
pp. 341-353
Author(s):  
Raimundus Ivan Naisoko ◽  
Christien C Foenay ◽  
Antonio E L Nyoko
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Quantitative Research ◽  
Research Data ◽  
Production Volume ◽  
Analysis Techniques ◽  
Maximum Profit ◽  
Forecasting Method ◽  
Volume Production

The purpose of this study is to analyze the determination of production volume to maximize profits.This research is a quantitative research. Data analysis techniques are Forecasting and LinearProgramming (Simplex Method). The result of analysis concluded that the production volume usingLinear Programming simplex method obtained in 2019 should produce as many as 405,792,000molten chocolate bread per year and by 2020 should produce as many as 4,107,480 molten chocolatebread per year for earning maximum profit. Meanwhile, the Forecasting result is to produce 4 typesof bread as many as 6,308,240 breads in 2019 and 6,365,560 breads in 2020. In terms of profitoptimization then calculation using Linear Programming is better however considering the marketingaspect where consumers require a variety of bread flavors then calculation using forecasting method ismore recommended. Keywords: Forecasting, Linear Programming, Optimization, Volume Production

Maksimalisasi Keuntungan Dengan Pendekatan Metode Simpleks Studi Kasus pada Pabrik Sendai X di Ciputat, Tangerang Selatan

Liquidity ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 144-150
Author(s):  
Mela Rizqie Aulia ◽  
Dewaguna Negara Putra ◽  
Sari Murniati ◽  
Mustahiroh Mustahiroh ◽  
Debby Octavia ◽  
...  
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Maximum Profit

The purpose of this study are to (1) to determine the number of allocation of those materials which is required for the maximum profit; and (2) to determine how many Rope and Rubber Sandals that must be sold to achieve the maximum profit by the industry. In order to determine the combination of inputs and maximum profits can be used linear programming with graphical and simplex method. The valuation result shows. The industry will take maximum profit from the Rope Sandals Rp. 26.436.000 if the company produces as much as 2203 pairs of sandals per month.

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

MAKSIMASI KEUNTUNGAN USAHA PUKAT CINCIN DI NEGERI LATUHALAT PADA MUSIM TIMUR

2018 ◽  
Vol 2 (1) ◽  
pp. 22-32
Author(s):  
Willem Talakua ◽  
Eygner Gerald Talakua
Keyword(s):  
Linear Programming ◽  
Production Factors ◽  
Maximum Profit ◽  
Analysis Methods ◽  
Profit Analysis ◽  
Business Profit ◽  
Programming Analysis

The purpose of this study is to study the maximization of business profits through the determination of the optimal use of production factors in the trawl ring business in Latuhalat. Observations and direct interviews based on questionnaires were carried out on 3 fishermen who owned trawl ring businesses in 3 hamlets in Latuhalat. Data were analyzed using business profit analysis methods and linear programming analysis. The results showed that: 1). The optimal use of production factors for trawling by the respondents in Latuhalat is 41 - 45 trips in June using 15.2 - 21.1 liters of gasoline, 280.9 - 304.4 liters of gasoline, 10.1 - 21 , 2 liters of oil, using labor as much as 15-17 people for 8 hours / day, and using transportation and FAD services as much as 351.3 - 360 HOK or 8 hours per day; and 2). The maximum profit that can be obtained from trawling rings by respondents in Latuhalat is Rp. 165,545,500 - up to Rp. 184,800,000, - in June. To achieve this maximum profit, respondents need to produce 25,270.3 kg of fish to 27,540.98 kg in June.

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