scholarly journals Minimizing the cost of a curved corner trapezoidal canal section

2020 ◽  
Author(s):  
Ehab M. Fattouh ◽  
Neveen Y. Saad
Keyword(s):  
Sensitivity Analysis ◽  
Objective Function ◽  
Mathematical Optimization ◽  
Minimum Cost ◽  
Point Of View ◽  
Minimal Cost ◽  
Channel Section ◽  
Trapezoidal Channel ◽  
The Cost

Abstract Designing a curved corner trapezoidal channel section with a minimal cost, which is the study's objective function, encompasses minimizing the channel lining and excavation costs. The discharge, as the prime constraint, and the permissible velocities, as subsidiary constraints, were considered to solve the problem. Mathematical optimization was used to obtain the optimum canal dimensions. The results were represented in chart form to facilitate easy design of the optimal channel dimensions with minimum cost. To demonstrate the practicability of the proposed method, a design example has been included. A comparison between the parameters and the cost of the proposed section with the conventional trapezoidal section revealed that the proposed section is more economic, and more suitable from a maintenance point of view. At last, sensitivity analysis was derived to show the effect of changing the canal dimensions on the cost.

scholarly journals Optimasi OPTIMASI BIAYA TRANSPORTASI PADA UKM DI KOTA BATAM

2021 ◽  
Vol 9 (1) ◽  
pp. 1-19
Author(s):  
Welly Sugianto ◽  
Elva Susanti
Keyword(s):  
Sensitivity Analysis ◽  
Objective Function ◽  
Approximation Method ◽  
Minimum Cost ◽  
Transportation Cost ◽  
Product Distribution ◽  
Mathematical Form ◽  
Total Production ◽  
Calculation Results ◽  
Iteration Methods

This research was conducted at UKM Jovelyn in Batam city. Jovelyn's UKM produces various kinds of cakes and is marketed in markets in Batam City. The UKM opened 4 branches and marketed its products to 7 markets in the city of Batam. Product distribution is still random and not properly regulated. This resulted in a very large transportation cost, up to 1/3 of the total production cost. This shows that product transportation is still not carried out effectively and efficiently. The transportation problem is converted into a mathematical form so that the problem can be solved by the transportation method. The transportation method aims to minimize the objective function which is a function of transportation costs. The transportation method is basically the same as the linear program where at each iteration a selection is made to enter the basic variabel and leave the basic variabel. There are several iteration methods, namely the northwest corner method, minimum cost method, genetic algorithm, Vogel's approximation method, minimum row method, Russell's approximation method and column minimum method. Previous research has shown that the Vogel's approximation method, and Russell's approximation method are more efficient and accurate. This study uses both methods and a sensitivity analysis is performed to optimize the calculation results. The sensitivity analysis aims to determine the extent to which the objective function constants and the constraint function constants can change Keywords: Transportation, Sensitivity, SME  

scholarly journals Assessment of the Clinical and Economic Impact of Different Immunization Protocols of Measles, Mumps, Rubella and Varicella in Internationally Adopted Children

Vaccines ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 60 ◽  
Author(s):  
Sara Boccalini ◽  
Angela Bechini ◽  
Cecilia Maria Alimenti ◽  
Paolo Bonanni ◽  
Luisa Galli ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Economic Impact ◽  
Minimum Cost ◽  
Point Of View ◽  
Decision Analysis Model ◽  
Adopted Children ◽  
Analysis Model ◽  
Internationally Adopted Children ◽  
The Cost ◽  
Internationally Adopted

The appropriate immunization of internationally adopted children (IAC) is currently under debate and different approaches have been suggested. The aim of this study is to evaluate the clinical and economic impact of different strategies of measles, mumps, rubella, and varicella (MMRV) immunization in IAC in Italy. A decision analysis model was developed to compare three strategies: presumptive immunization, pre-vaccination serotesting and vaccination based on documentation of previous immunization. Main outcomes were the cost of strategy, number of protected IAC, and cost per child protected against MMRV. Moreover, the incremental cost-effectiveness ratio (ICER) was calculated. The strategy currently recommended in Italy (immunize based on documentation) is less expensive. On the other hand, the pre-vaccination serotesting strategy against MMRV together, improves outcomes with a minimum cost increase, compared with the presumptive immunization strategy and compared with the comparator strategy. From a cost-effectiveness point of view, vaccination based on serotesting results in being the most advantageous strategy compared to presumptive vaccination. By applying a chemiluminescent immunoassay test, the serology strategy resulted to be clinically and economically advantageous. Similar results were obtained excluding children aged <1 year for both serology methods. In conclusion, based on our analyses, considering MMRV vaccine, serotesting strategy appears to be the preferred option in IAC.

APPLICATION OF THE JUMPING FROGS METHOD FOR THE OPTIMIZATION OF THREE-LEVEL PLANS OF A MULTIPLE FACTOR EXPERIMENT

2019 ◽  
pp. 35-42
Author(s):  
N. Koshevoy ◽  
E. Kostenko ◽  
V. Muratov
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
High Speed ◽  
Minimum Cost ◽  
Optimization Method ◽  
Experimental Designs ◽  
Minimal Cost ◽  
Taboo Search ◽  
Time Costs ◽  
The Cost

he planning of the experiment allows us to solve the problem of obtaining a mathematical model with minimal cost and time costs. The cost of implementing an experiment is significantly affected by the order of alternating levels of change in factors. Thus, it is required to find a procedure for the implementation of experiments that provides the minimum cost (time) for conducting a multivariate experiment. This task becomes especially relevant when studying long and expensive processes. The purpose of this article is the further development of the methodology of optimal planning of the experiment in terms of cost (time), which includes a set of methods for optimizing the plans of the experiment and hardware and software for their implementation. Object of study: optimization processes for the cost of three-level plans for multivariate experiments. Subject of research: optimization method for cost and time costs of experimental designs based on the use of the jumping frog method. Experimental research methods are widely used to optimize production processes. One of the main goals of the experiment is to obtain the maximum amount of information about the influence of the studied factors on the production process. Next, a mathematical model of the object under study is built. Moreover, it is necessary to obtain these models at the minimum cost and time costs. The design of the experiment allows you to get mathematical models with minimal cost and time costs. For this, a method and software were developed for optimizing three-level plans using the jumping frog method. Three-level plans are used in the construction of mathematical models of the studied objects and systems. An analysis is made of the known methods for the synthesis of three-level plans that are optimal in cost and time costs. The operability of the algorithm was tested when studying the roughness of the silicon surface during deep plasma-chemical etching of MEMS elements. Its effectiveness is shown in comparison with the following methods: swarm of particles, taboo search, branches and borders. Using the developed method and software for optimizing three-level plans using the jumping frog method, one can achieve high winnings compared to the initial experimental plan, optimal or close to optimal results compared to particle swarm, taboo search, branches and borders methods, and also high speed of solving the optimization problem in comparison with previously developed optimization methods for three-level experimental designs.

scholarly journals Optimal Kiln Dry Allocation for Dry Timber Preparation with Minimal Cost and Available Capacity

2019 ◽  
Vol 21 (1) ◽  
pp. 43-48
Author(s):  
Juliet Theresia ◽  
I Gede Agus Widyadana ◽  
Didik Wahjudi
Keyword(s):  
Natural Resources ◽  
Minimum Cost ◽  
Minimal Cost ◽  
Planning And Scheduling ◽  
Total Cost ◽  
Wood Board ◽  
Objective Value ◽  
Two Parameters ◽  
The Cost ◽  
Sawing Process

Optimization models are increasingly developed for planning and scheduling natural resources manufacture. However, the uncertainty of material from natural resources makes it more difficult to develop a model.  In this paper, we concern on the cost of dry timber preparation to finishing sections in a wood-board manufacturer. Based on the characteristic of the material and wood-board production process, we develop two models to a minimize transportation and production cost of wood supply chain which is consist of dry timber preparation process after the sawing process. The models consider facilities capacity, the distance between facilities and drying periods based on timber specification. The model is solved using linear programming, result in drying allocation on the chamber in kiln dry with a minimum cost of the process. A sensitivity analysis is conducted to verify the models and show the effect of variation of two parameters to the objective value. The results show varies of external capacity of kiln dry is more sensitive to total cost than varies of internal capacity.

Failure-Mode Based Coupled Shear Wall Optimization Design

2012 ◽  
Vol 166-169 ◽  
pp. 29-32
Author(s):  
Shan Suo Zheng ◽  
Qiang Xu ◽  
Zhi Qiang Li
Keyword(s):  
Objective Function ◽  
Failure Mode ◽  
Optimization Design ◽  
Failure Modes ◽  
Minimum Cost ◽  
Shear Wall ◽  
Coupled Wall ◽  
Coupled Shear Wall ◽  
Optimal Approach ◽  
The Cost

Failure-mode based optimization is very effective at improving the performance of structure, therefore, a new optimal approach based on failure mode with the ability to limit the cost is proposed. Three different failure modes of the coupled wall are discussed, and then the objective function is setted up according to the expected failure mode and minimum cost. Finally, an example is cited to verify the method. It is concluded that the method can supply an effective way to reduce the cost of coupled shear wall, and the expected failure mode can be obtained.

scholarly journals Two Point Minimum Cost Path Approach for CTA Coronary Centerline Extraction

2008 ◽  
Author(s):  
Coert Metz ◽  
Michiel Schaap ◽  
Theo van Walsum ◽  
Wiro Niessen
Keyword(s):  
Coronary Artery ◽  
Minimum Cost ◽  
Window Function ◽  
Minimal Cost ◽  
Centerline Extraction ◽  
End Point ◽  
Coronary Centerline ◽  
Definition Of ◽  
The Cost

In this work a minimum cost path approach is adopted to extract coronary artery centerlines from CTA data. The algorithm depends on the manual definition of the start and end point of the vessel. The cost image used in the minimal cost path approach is based on a vesselness measure and a smooth window function on intensity. In the majority of the cases the method was able to extract the centerlines successfully (overlap > 90%). Accuracy of the method is around two times the voxelsize of the datasets. To conclude, minimum cost path approaches have potential for coronary artery centerline extraction, but improvements, especially regarding the accuracy of the method, still need investigations.

Minimum Cost Programming Models of Nodes Deployment for WSNs

2015 ◽  
Vol 719-720 ◽  
pp. 696-701
Author(s):  
Tie Gang Fan ◽  
Gui Fa Teng ◽  
Li Min Huo
Keyword(s):  
Objective Function ◽  
Unit Area ◽  
Minimum Cost ◽  
Programming Models ◽  
Hexagonal Cell ◽  
Fundamental Factor ◽  
Cell Architecture ◽  
Wide Range ◽  
The Cost ◽  
Coverage Lifetime

WSNs can cover a wide range of application. Node deployment is a fundamental factor in determining the connectivity, coverage, lifetime and cost of WSNs. This paper focuses on the cost of network that satisfies some constraints (coverage, connectivity and lifetime). In order to satisfy the connectivity and coverage, we use the regular hexagonal cell architecture. We present a new metric, the Cost Per Unit Area and Lifetime, to be objective function. Three programming models are proposed under different scenarios. For reasons of space, we present briefly the method to solve above models and some analysis.

A generalized fuzzy cost efficiency model

2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour
Keyword(s):  
Cost Efficiency ◽  
Minimum Cost ◽  
Extensive Literature ◽  
Data Envelopment ◽  
Fuzzy Environment ◽  
Decision Making Unit ◽  
Production Possibility Set ◽  
Fuzzy Cost ◽  
The Cost ◽  
Generalized Cost

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.

Evaluation Of The Functional Of Space-Planning Arrangement Of A Building

2019 ◽  
pp. 4-9
Keyword(s):  
Numerical Simulation ◽  
Life Cycle ◽  
Initial Data ◽  
Objective Assessment ◽  
Objective Evaluation ◽  
Point Of View ◽  
Shopping Centers ◽  
Space Planning ◽  
Planning Decisions ◽  
The Cost

The article focuses on the problem of the lack of objective evaluation of space-planning arrangement of buildings as a creative approach of the architect to the performing of functional tasks by the object. It is proposed to create a methodology for assessing the functional of space-planning solutions of buildings on the basis of numerical simulation of functional processes using the theory of human flows. There is a description of the prospects of using this method, which makes it possible to increase the coefficient of compactness, materials and works saving, more efficient use of space, reduce the cost of the life cycle of the building, save human forces and time to implement the functional of the building. The necessary initial data for modeling on the example of shopping and shopping-entertainment centers are considered. There are three main tasks for algorithmization of the functional of shopping centers. The conclusion is made about necessity of development of a method for objective assessment of buildings from the point of view of ergonomics of space-planning decisions based on the study of human behavior in buildings of different purposes.

Main approaches to estimating the cost of shareholder equity of oil and gas producers

2020 ◽  
Vol 26 (3) ◽  
pp. 685-697
Author(s):  
O.V. Shimko
Keyword(s):  
Oil And Gas ◽  
Oil Prices ◽  
Minimum Cost ◽  
Free Cash Flow ◽  
Annual Reports ◽  
Comparative Approach ◽  
Economic Activities ◽  
Advantages And Disadvantages ◽  
Oil And Gas Producers ◽  
The Cost

Subject. The study analyzes generally accepted approaches to assessing the value of companies on the basis of financial statement data of ExxonMobil, Chevron, ConocoPhillips, Occidental Petroleum, Devon Energy, Anadarko Petroleum, EOG Resources, Apache, Marathon Oil, Imperial Oil, Suncor Energy, Husky Energy, Canadian Natural Resources, Royal Dutch Shell, Gazprom, Rosneft, LUKOIL, and others, for 1999—2018. Objectives. The aim is to determine the specifics of using the methods of cost, DFC, and comparative approaches to assessing the value of share capital of oil and gas companies. Methods. The study employs methods of statistical analysis and generalization of materials of scientific articles and official annual reports on the results of financial and economic activities of the largest public oil and gas corporations. Results. Based on the results of a comprehensive analysis, I identified advantages and disadvantages of standard approaches to assessing the value of oil and gas producers. Conclusions. The paper describes pros and cons of the said approaches. For instance, the cost approach is acceptable for assessing the minimum cost of small companies in the industry. The DFC-based approach complicates the reliability of medium-term forecasts for oil prices due to fluctuations in oil prices inherent in the industry, on which the net profit and free cash flow of companies depend to a large extent. The comparative approach enables to quickly determine the range of possible value of the corporation based on transactions data and current market situation.

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