scholarly journals PROFIT MAXIMIZING BUNDA BAKERY USING SIMPLEX METHOD

2017 ◽  
Vol 7 (2) ◽  
pp. 84-98
Author(s):  
Budiyanto Budiyanto ◽  
Sigit Mujiharjo ◽  
Siti Umroh
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Raw Materials ◽  
Raw Material ◽  
Previous Record ◽  
Machine Utilization ◽  
Bread Production ◽  
Labor Utilization ◽  
Potential Profit ◽  
Production Resources

Bunda Bakery is currently produce 19 various bread products weekly with using certain amout of various materials, and utilizing machine and labours.  However,  the optimal product and potencial profit of the bread production had not been determined. The Objective of the studywere  toevaluate and optimize the bread production and its potencial profit.   Simplex method,one of the techniques used in linear programming,was utilized  to find the optimal valuethat involves many variables in the study. Previous record of each kind bread products were  used to optimize  various bread had to be produced and the potential profit to be gained    Machine and labor utilization were further employed to use up the weekly raw material  for optimizing the total bread product can be produced and the potential profits to be gained.  The results indicate that before optimization, available raw matrials can beused to produce 676 unit products  with potencial profit of 1,663,914 IDR in one week production.Optimization of raw materials could produce 697 unit products with potencial profit of 1,943,489 IDR in the same period of production.  In addition, further optimization of production resources (material,  labor and machine utilization) to used up the whole weekly materials, with additional selected materials, Bunda bakery could produce 1050 unit products with potencial profit of 2,286,049 IDR in one week production.

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>

Chandpur Enterprises Limited, Steel Division

2017 ◽  
pp. 1-4
Author(s):  
Samuel E. Bodily ◽  
Akshay Mittal
Keyword(s):  
Linear Programming ◽  
Linear Model ◽  
Raw Materials ◽  
Nonlinear Models ◽  
Upper Bounds ◽  
Raw Material ◽  
Shadow Prices ◽  
Lower And Upper Bounds ◽  
Optimization Function ◽  
Introductory Class

The managing director of a steel plant faces the decision of how much of each raw material to order for the plant for the following month. Due to lower and upper bounds on the amounts of each raw material in a batch and varying amounts of electricity and time consumed for different raw materials, one can't simply use the cheapest raw material. A linear program and the solver optimization function of Excel will provide the optimal amounts that meet the constraints. Interestingly, the best mixture for a batch is not the best mixture for a monthly plan. Shadow prices indicate the value of relaxing constraints. The typical monthly model from a student will be nonlinear, although it can be written as a linear model. This case provides the basis for an introductory class on linear programming and linear versus nonlinear models.

Application of Optimization Algorithm for Ceramic Formulations

2012 ◽  
Vol 518-523 ◽  
pp. 3938-3942
Author(s):  
Xiang Cheng ◽  
Su Li Wang ◽  
Shu Wu Cheng
Keyword(s):  
Particle Swarm Optimization ◽  
Chemical Composition ◽  
Optimization Algorithm ◽  
Simplex Method ◽  
Raw Materials ◽  
Optimization Algorithms ◽  
Particle Swarm ◽  
Ceramic Materials ◽  
Raw Material ◽  
Swarm Optimization

ceramic formula; genetic algorithm; the simplex method; particle swarm optimization Abstract. The composition of ceramic materials determines its performance, so ceramic formula determines the performance of the product. The factors, such as supply of local raw materials, chemical composition, and raw material price, determine the formula. Selecting raw materials from a variety of raw materials which are consistent with the target formula and the percentage content of the chemical composition is a very important job. The chemical composition in the ceramic material is various, and the traditional method is to calculate the formula by hand. The workload is very heavy, and the results are often not accurate, and don’t meet actual requirements. By minimizing the deviation of chemical composition and mineral ingredients, the chemical and comprehensive formula optimization models of ceramic preform body were constructed. Several typical optimization algorithms were used to construct the formula model, such as particle swarm optimization, genetic algorithms and Nelder-Mead simplex method. The experimental results were presented and compared and it concluded that the particle swarm optimization algorithm is superior to the other optimization algorithms.

scholarly journals Potential raw materials for special use vegetable fatty composite mixtures

2019 ◽  
Vol 48 (2) ◽  
pp. 54-63
Author(s):  
Исмаил Исабаев ◽  
Ismail Isabayev ◽  
Тамара Атамуратова ◽  
Tamara Atamuratova
Keyword(s):  
Wheat Germ ◽  
Raw Materials ◽  
Raw Material ◽  
Plant Raw Materials ◽  
Optimum Proportion ◽  
Sunflower Oils ◽  
Bread Production ◽  
Positive Effect ◽  
Wheat Product

The article is devoted to the analysis of modern priorities in the sphere of food industry main branches development. The author identified the most promising of them, in particular, modification of socially significant food products (fats) by means of their combination with traditional and non-traditional plant raw materials having full fat oil and low-oil content as a source of physiologically functional nutrients. Chemical composition of raw materials has been studied to reveal the biological value and food safety. The efficiency of using wheat germ flour as an ingredient of vegetable fatty composite mixtures in bread production is established. The author suggested using composites that consist of germinated wheat product, animal fat, creamy melted butter, palm, soybean and sunflower oils which have balanced fatty acids content. The author justified the relevance of heat treatment of composite mixtures having wheat germ flour content up to 30.0% of the mixture mass at 40–50 °C, more than 30% – up to 70°C during 10–15 min. That will help increase its microbiological purity, reduce the enzymatic action of germ lipase, protease and lipoxygenase, extend the mixtures shelf life up to 45 days. Optimum proportion of wheat germ flour should not exceed 70.0% of the raw material mixtures weight. It was demonstrated that 30,0 to 50,0% of solid fats can be replaced with vegetable oils. There was a positive effect of the developed composites in the amount of up to 5.0% to the quantity of flour according to the recipe on the quality of bread produced from the 1st grade wheat flour.

scholarly journals SUPPLIER SELECTION AND ORDER QUANTITY ALLOCATION OF RAW MATERIAL USING INTEGER LINEAR PROGRAMMING

JOURNAL ASRO ◽  
2018 ◽  
Vol 9 (1) ◽  
pp. 98
Author(s):  
Ika Deefi Anna ◽  
Putri Rani Fhiliantie
Keyword(s):  
Sensitivity Analysis ◽  
Linear Programming ◽  
Integer Linear Programming ◽  
Supplier Selection ◽  
Raw Materials ◽  
Raw Material ◽  
Delivery Time ◽  
Order Quantity ◽  
Holding Costs ◽  
The Right

ABSTRACT The production activities of a company are influenced by sufficient availability of raw materials. The availability of raw materials will be fulfilled if the supplier regularly sends raw materials in accordance with the planned delivery time. However, each supplier has different capabilities in terms of supply capacity, price, product quality, and delivery time. Determining the right supplier will help the company maintain its production process. This study aims to identify which suppliers are selected to fulfill the demand for each production period and determine allocation of raw material orders to each selected supplier. The model developed to determine selected suppliers have been an integer linear programming. The model has the objective function of minimizing the total cost which consists of purchasing, ordering and holding costs. The constraints include supplier capacity, order quantity allocation, demand, inventory balance, safety stock, timely delivery, non negative and binary. Calculation results in giving a numerical example shows that the developed model is able to select suppliers per period. The model is also able to determine the allocation of raw material orders to selected suppliers. Sensitivity analysis is done to find out which parameters are sensitive. The results of the sensitivity analysis indicate that the parameters of supplier capacity and demand are sensitive parameters.  Keywords: Supplier selection, order quantity allocation, integer linear programming

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 DETERMINATION OF SUPPLIER AND ORDER QUANTITY OF RAW MATERIAL USING AHP METHOD AND LINEAR PROGRAMMING

2019 ◽  
Vol 3 ◽  
pp. 63-68
Author(s):  
M Fakhruddin Alfaris M Fakhruddin Alfaris ◽  
M Qurtubi
Keyword(s):  
Linear Programming ◽  
Raw Materials ◽  
Raw Material ◽  
Optimal Order ◽  
Order Quantity ◽  
Ahp Method ◽  
The Right ◽  
The Cost ◽  
Selection Of

Companies must choose suppliers properly, because the selection of the right supplier can reduce raw material costs and increase the competitiveness of the company, while improper supplier selection can cause financial and operating problems. The purpose of this study is to determine the optimal supplier and order quantity of raw materials. As for the object of the research is a multipurpose technology machinery company. Data collection methods used in this study were observation, interviews, and questionnaires. Supplier data is processed using the AHP method to determine the right supplier, while the linear programming method is used to determine the order quantity of the raw material. Based on the calculation, the DS supplier gets a weight of 0.65 and the LG supplier gets a weight of 0.35. The optimal order quantity from each supplier is 7.5 tons for DS and 7.5 tons suppliers for LG suppliers. From the results of the optimization, the cost reduction figure is Rp. 3,750,000 or 3% of the total cost of purchase.

scholarly journals Improving the recipe and technology of wheat bread with apple pomace

2020 ◽  
Vol 82 (2) ◽  
pp. 61-66
Author(s):  
A. E. Kovaleva ◽  
E. A. Pyanikova ◽  
E. D. Tkacheva
Keyword(s):  
Technological Process ◽  
Raw Materials ◽  
Control Sample ◽  
Apple Pomace ◽  
Raw Material ◽  
Wheat Bread ◽  
Fresh Frozen ◽  
Bread Production ◽  
Buckwheat Flour ◽  
Material Powder

The effect of apple raw material (powder from apple pomace and frozen apple pomace) on the duration of individual operations of the technological process of the straight method of wheat bread production, such as the kneading duration, the number of punchings, the duration of the dough fermentation and dough pieces proofing, was investigated in the work. As studies showed, when using secondary apple raw materials in wheat bread production, the amount of yeast must be increased to 3-4%, compared to 1-2% introduced to the control sample. When kneading the dough, apple pomace powder is mixed with dry ingredients according to the developed recipes. When preparing the dough, freshly frozen apple pomace must first be soaked in a mixture of vegetable oil and warm water (water temperature is 28-30 ?) with constant stirring and bringing to a homogeneous consistency and the pomace complete defrosting. The degree of influence of products from the secondary apple raw materials on the technological process and bread quality depend on the type and quantity of the product added to the dough (apple powder or frozen apple pomace is used). The amount of water was also increased by replacing part of the premium wheat flour with buckwheat flour and apple pomace powder. While using fresh frozen apple pomace, the amount of water was reduced, the other ingredients in the recipe were not changed. The additives put to the recipe stimulate the dough fermentation process and reduce it. At the same time, the duration of the dough maturation and the proofing operations are reduced. The addition of fresh frozen apple pomace improves the porosity and taste of bread to a greater extent..

scholarly journals OPTIMALISASI PRODUKSI MEUBEL PADA BALAI LATIHAN PENDIDIKAN TEKNIK (BLPT) KAATEN, KOTA TOMOHON

2018 ◽  
Vol 14 (1) ◽  
pp. 25
Author(s):  
Ruth Elisa Simamora ◽  
Agnes E. Loho ◽  
Leonardus R. Rengkung
Keyword(s):  
Resource Use ◽  
Raw Materials ◽  
Secondary Data ◽  
Leaf Size ◽  
Raw Material ◽  
Primary Data ◽  
Human Labor ◽  
Resource Sensitivity ◽  
Production Resources

This study aims to determine the optimization of products, resource use and sensitivity of production resources in furniture BLPT kaaten. The study was conducted from April 2017 to August 2017. The data used were primary and secondary data. Primary data is obtained from direct observation of company condition and interview with related parties of research in company while secondary data obtained from company include cost data, raw material, rescue material, human labor and machine worker. The method used in this reswarch is case study. The data analysis used is Linear Programming with the help of using software LINDO Version 6.1. The results show that BLPT Kaaten has been operating optimally producing 76 church benches within 100 days with RP profits. 77.615.470. The limiting resource in the production of KUDENBLPT furniture is the manpower of the finishing department. Resource sensitivity sensitive to the decrease of the availability of raw materials are brass hinges, sis locks, leaf size 3 and leaf knob size 3.5.

Sign in / Sign up

Export Citation Format

Share Document