scholarly journals Determination of Natural Risk Sources Effective in Wheat Production in Hadim District with the Help of Linear Programming

2021 ◽  
Vol 35 (1) ◽  
pp. 1-11
Author(s):  
Yasin Altay ◽  
İsmail Keskin
Keyword(s):  
Linear Programming ◽  
Natural Risk ◽  
Wheat Production ◽  
Risk Sources

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.

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>

Determination of optimised cut-off grade utilising non-linear programming

2015 ◽  
Vol 8 (10) ◽  
pp. 8963-8967 ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Andy Wetherelt ◽  
Patrick Foster ◽  
Gareth Kennedy ◽  
Dariush Kaveh Ahangaran ◽  
...  
Keyword(s):  
Linear Programming ◽  
Non Linear Programming ◽  
Non Linear

The determination of the most suitable inertia weight strategy for particle swarm optimization via the minimax mixed-integer linear programming model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Volkan Soner Özsoy
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Pso Algorithm ◽  
Complex Problem ◽  
Mixed Integer ◽  
Swarm Optimization ◽  
Content Type ◽  
Inertia Weight

Purpose This paper aims to consider each strategy of the particle swarm optimization (PSO) as a unit in data envelopment analysis (DEA) and uses the minimax mixed-integer linear programming DEA approach to find the most suitable inertia weight strategy. A total of 15 inertia weight strategies were empirically examined in a suite of 42 benchmark problems in the view of DEA. Design/methodology/approach PSO is very sensitive to inertia weight strategies, and therefore, an important amount of research attempts has been concentrated on these strategies. There is no research into the determination of the most suitable inertia weight strategy; however, there are a large number of comparisons related to the inertia weight strategies. DEA is one of the performance evaluation methods, and its models classify the set of strategies into two distinct sets as efficient and inefficient. However, only one of the strategies should be used in the PSO algorithm. Some effective models were proposed to find the most efficient strategy. Findings The experimental studies demonstrate that an approach is a useful tool in the determination of the most suitable strategy. Besides, if the author encounters a new complex problem whose properties are known, it will help the author to choose the best strategy. Practical implications A heavy oil thermal cracking three lumps model for the simplification of the reaction system was used because it is an important complicated chemical process. In addition, the soil water retention curve (SWRC) plays an important role in diverse facets of agricultural engineering. As the SWRC can be regarded as a nonlinear function between the water content and the soil water potential, Van Genuchten model is proposed to describe this function. To determinate these model parameters, an optimization problem is formulated, which minimizes the difference between the measured and modeled data. Originality/value In this paper, the PSO algorithm is integrated with minimax mixed-integer linear programming to find the most suitable inertia weight strategy. In this way, the best strategy could be chosen for a new more complex problem.

The Necessity of Implementation of Operations Research for Managers for Decision-Making and Productivity Increase in Production

2012 ◽  
Vol 488-489 ◽  
pp. 1651-1656 ◽  
Author(s):  
Mohammad Khorasani Amoli ◽  
Seyyed Milad Talebzadeh Hosseini ◽  
Morteza Salehi
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Mathematical Models ◽  
Operations Research ◽  
Correct Decision ◽  
Productivity Increase

In today world, decision-making has been converted into a vital issue for managers such that in some conditions, managers are encountered with some cases which correct decision- making guarantees the survival of company. Operations research is among the sciences which in direction for decision-making, helps the managers quantitatively and using of mathematical models which are called linear programming. In this paper, it is addressed to the significance and the role of operations Research in decision-making of managers and a definition about operations research is presented and two mathematical models are presented to help the decision-making of managers to provide customers orders with the least wastes and determination of human force and over-working.

Determination of the optimal quantity of crop residues for energy in sugarcane crop management using linear programming in variety selection and planting strategy

Energy ◽  
2001 ◽  
Vol 26 (11) ◽  
pp. 1031-1040 ◽  
Author(s):  
Maria Márcia Pereira Sartori ◽  
Helenice de Oliveira Florentino ◽  
Cesar Basta ◽  
Alcides Lopes Leão
Keyword(s):  
Linear Programming ◽  
Crop Residues ◽  
Crop Management ◽  
Sugarcane Crop ◽  
Variety Selection ◽  
Optimal Quantity

scholarly journals Studi Optimasi Pola Tanam Daerah Irigasi Gong Gang Kecamatan Parang Kabupaten Magetan

2016 ◽  
Vol 14 (1) ◽  
pp. 51
Author(s):  
Ernawan Setyono ◽  
Safik Mucharom
Keyword(s):  
Linear Programming ◽  
Spatial Patterns ◽  
Food Production ◽  
Cropping Pattern ◽  
Water Requirements ◽  
Cropping Intensity ◽  
Cropping Patterns ◽  
Optimization Study ◽  
Planting Season

Along with the increasing population growth, the need for food also increased. To meet that need for optimization studies of the factors that influence spatial patterns of planting in order to increase the volume of food production. Determination of the cropping pattern that will be used after the first known dependable flow and water requirements. Through the design cropping pattern is expected cropping intensity can be enhanced and existing water sources can be used optimally. linear programming used in this optimization study using QM for Windows 4 software. The most optimal results from the optimization that has been done is an alternative was began on November  cropping patterns : rice-palawija-sugarcane season crops beginning 1st week of November, profits amounted to Rp 106.729.700.000 to the area that can be cultivated for the planting season I: Rice = 1990 ha, palawija = 307 ha sugarcane = 89 ha, planting season II: Rice = 1990 ha, palawija = 307 ha sugarcane = 89 ha, and planting season III:  Rice = 258,2753 ha Palawija = 2038,725 ha, sugarcane = 89 ha

Determination Of Load Shed Using Linear Programming To Avoid Voltage Instability

2005 ◽  
Author(s):  
T.Q. Tuan ◽  
J. Fandino ◽  
J.C. Sabonnadiere ◽  
H. Vu ◽  
B. Heilbronn
Keyword(s):  
Linear Programming ◽  
Voltage Instability
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