scholarly journals OPTIMALISASI PENGGUNAAN INPUT USAHATANI BAWANG MERAH DI DESA SUNGAI GERINGGING KECAMATAN KAMPAR KIRI KABUPATEN KAMPAR PROPINSI RIAU

2020 ◽  
Vol 34 (3) ◽  
pp. 211-218
Author(s):  
Sri Ayu Kurniati ◽  
Darus
Keyword(s):  
Linear Programming ◽  
Optimal Solution ◽  
Optimal Conditions ◽  
Input Price ◽  
Price Increases ◽  
Input Use ◽  
Optimal Inputs ◽  
The Family ◽  
Total Profit ◽  
High Production

ABSTRACT Shallots are a strategic commodity but still require attention in the use of optimal inputs to achieve maximum results. All farm inputs are still limited in number while high production is highly expected by farmers. The purpose of this study was to determine the use of inputs, analyze the use of inputs in order to achieve optimal conditions and analyze the effect of input price changes on the optimal solution on red onion farming in Sungai Geringging Village, Kampar Kiri District, Kampar Regency. Descriptive qualitative and quantitative analysis methods using Linear Programming. The results of input use research state that the area of the land is narrow that is an average of 0.25 hectares, the seeds are superior but the number of uses is still below standard, more use of labor outside the family, dominant farmers use inorganic fertilizers, use pesticides to repel pests and work equipment simple one. The use of farming inputs is not optimal so that the reduction or addition of input availability will not affect the total profit in optimal conditions. The effect of changes when an input price increases and decreases by 3.25 percent does not show a difference when compared to the initial optimal conditions. Keywords: Optimization, Input, Shallot, Linear Programming, LINDO

scholarly journals Data-based polyhedron model for optimization of engineering structures involving uncertainties

2021 ◽  
Vol 2 ◽  
Author(s):  
Zhiping Qiu ◽  
Han Wu ◽  
Isaac Elishakoff ◽  
Dongliang Liu
Keyword(s):  
Linear Programming ◽  
Convex Polyhedron ◽  
Linear Optimization ◽  
Optimal Solution ◽  
Composite Plates ◽  
Convex Polyhedra ◽  
Chebyshev Inequality ◽  
Engineering Structures ◽  
Load Bearing ◽  
Polyhedron Model

Abstract This paper studies the data-based polyhedron model and its application in uncertain linear optimization of engineering structures, especially in the absence of information either on probabilistic properties or about membership functions in the fussy sets-based approach, in which situation it is more appropriate to quantify the uncertainties by convex polyhedra. Firstly, we introduce the uncertainty quantification method of the convex polyhedron approach and the model modification method by Chebyshev inequality. Secondly, the characteristics of the optimal solution of convex polyhedron linear programming are investigated. Then the vertex solution of convex polyhedron linear programming is presented and proven. Next, the application of convex polyhedron linear programming in the static load-bearing capacity problem is introduced. Finally, the effectiveness of the vertex solution is verified by an example of the plane truss bearing problem, and the efficiency is verified by a load-bearing problem of stiffened composite plates.

The Comptoir Sidérurgique de France, 1930–1939

1996 ◽  
Vol 70 (4) ◽  
pp. 517-540 ◽  
Author(s):  
Daniel Barbezat
Keyword(s):  
Rapid Rise ◽  
Input Price ◽  
Government Action ◽  
Price Increases ◽  
Costs Of Production

The French inter-war steel cartels were characterized by contemporaries as powerful trusts, restricting output and raising steel prices. The cartels were cited as a cause for the length of the French depression, the low productivity of the 1930s, and the rapid rise in steel prices after 1936. This paper shows that the formation and development of the French steel cartels was problematic and argues that the French industry was not structurally conducive to widespread collusion and was further harmed by governmental policies. Steel cartels were unable to police their arrangements effectively among members and were unable to stop outsiders from undercutting prices. It is not at all clear that firms in the cartel achieved higher profits. The increase in prices that did occur after 1936 was not due to firms colluding and profiting from the increased demand for steel due to the anticipation of Nazi aggression; rather, these price increases occurred because of input price increases caused by government action that raised the costs of production.

scholarly journals Linear programming measures for solving the problem of a linear division of convex multiplayers.

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Sarmad H. Ali ◽  
Osamah A. Ali ◽  
Samir C. Ajmi
Keyword(s):  
Machine Learning ◽  
Linear Programming ◽  
Optimal Solution ◽  
Optimal Method ◽  
Linear Separation ◽  
Different Types ◽  
Simplex Methods

In this research, we are trying to solve Simplex methods which are used for successively improving solution and finding the optimal solution, by using different types of methods Linear, the concept of linear separation is widely used in the study of machine learning, through this study we will find the optimal method to solve by comparing the time consumed by both Quadric and Fisher methods.

scholarly journals Applying Simulation Modelling in Quantifying Optimization Results

2021 ◽  
Vol 15 (4) ◽  
pp. 518-523
Author(s):  
Ratko Stanković ◽  
Diana Božić
Keyword(s):  
Linear Programming ◽  
Simulation Model ◽  
Input Data ◽  
Optimization Problems ◽  
Programming Model ◽  
Optimal Solution ◽  
Simulation Modelling ◽  
Simulation Software ◽  
Programming Models ◽  
Freight Forwarding

Improvements achieved by applying linear programming models in solving optimization problems in logistics cannot always be expressed by physically measurable values (dimensions), but in non-dimensional values. Therefore, it may be difficult to present the actual benefits of the improvements to the stake holders of the system being optimized. In this article, a possibility of applying simulation modelling in quantifying results of optimizing cross dock terminal gates allocation is outlined. Optimal solution is obtained on the linear programming model by using MS Excel spreadsheet optimizer, while the results are quantified on the simulation model, by using Rockwell Automation simulation software. Input data are collected from a freight forwarding company in Zagreb, specialized in groupage transport (Less Than Truckload - LTL).

scholarly journals Ranking Function Application for Optimal Solution of Fractional programming problem

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Rasha Jalal
Keyword(s):  
Linear Programming ◽  
Programming Problem ◽  
Fractional Programming ◽  
Linear Programming Problem ◽  
Fuzzy Numbers ◽  
Optimal Solution ◽  
Ranking Function ◽  
Linear Fractional Programming ◽  
Fractional Programming Problem ◽  
Linear Programming Problems

The aim of this paper is to suggest a solution procedure to fractional programming problem based on new ranking function (RF) with triangular fuzzy number (TFN) based on alpha cuts sets of fuzzy numbers. In the present procedure the linear fractional programming (LFP) problems is converted into linear programming problems. We concentrate on linear programming problem problems in which the coefficients of objective function are fuzzy numbers, the right- hand side are fuzzy numbers too, then solving these linear programming problems by using a new ranking function. The obtained linear programming problem can be solved using win QSB program (simplex method) which yields an optimal solution of the linear fractional programming problem. Illustrated examples and comparisons with previous approaches are included to evince the feasibility of the proposed approach.

scholarly journals Measuring the technical efficiency of local banks in UAE using rough bi-level linear programming technique

2015 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Doaa Wafik ◽  
O. E. Emam
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Technical Efficiency ◽  
Auxiliary Problem ◽  
Optimal Solution ◽  
Objective Functions ◽  
Programming Technique ◽  
Decision Making Problem ◽  
Linear Objective Functions ◽  
Linear Programming Technique

The aim of this paper is to use a bi-level linear programming technique with rough parameters in the constraints, for measuring the technical efficiency of local banks in UAE and Egypt, while the proposed linear objective functions will be maximized for different goals. Based on Dauer's and Krueger's goal programmingmethod, the described approach was developed to deal with the bi-level decision-making problem. The concept of tolerance membership function together was used to generate the optimal solution for the problem under investigation. Also an auxiliary problem is discussed to illustrate the functionality of the proposed approach.

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