Campaign Optimization through Mobility Network Analysis

Author(s):  
Yaniv Altshuler ◽  
Erez Shmueli ◽  
Guy Zyskind ◽  
Oren Lederman ◽  
Nuria Oliver ◽  
...  

Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of “target individuals”, with the ultimate goal of affecting as many of them as possible, such as in marketing, service provision and political campaigns. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. This chapter proposes a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. The proposed model is validated using real world mobility data.

2017 ◽  
pp. 695-728
Author(s):  
Yaniv Altshuler ◽  
Erez Shmueli ◽  
Guy Zyskind ◽  
Oren Lederman ◽  
Nuria Oliver ◽  
...  

Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of “target individuals”, with the ultimate goal of affecting as many of them as possible, such as in marketing, service provision and political campaigns. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. This chapter proposes a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. The proposed model is validated using real world mobility data.


2016 ◽  
Vol 10 (10) ◽  
pp. 133
Author(s):  
Mohammad Ali Nasiri Khalili ◽  
Mostafa Kafaei Razavi ◽  
Morteza Kafaee Razavi

Items supplies planning of a logistic system is one of the major issue in operations research. In this article the aim is to determine how much of each item per month from each supplier logistics system requirements must be provided. To do this, a novel multi objective mixed integer programming mathematical model is offered for the first time. Since in logistics system, delivery on time is very important, the first objective is minimization of time in delivery on time costs (including lack and maintenance costs) and the cost of purchasing logistics system. The second objective function is minimization of the transportation supplier costs. Solving the mathematical model shows how to use the Multiple Objective Decision Making (MODM) can provide the ensuring policy and transportation logistics needed items. This model is solved with CPLEX and computational results show the effectiveness of the proposed model.


Author(s):  
A. Contrerasa ◽  
F. Possob ◽  
Т. N. Veziroglu

The purpose of this work is to develop and evaluate a mathematical model for the process of hydrogen production in Venezuela, via electrolysis and using hydroelectricity, with a view to using it as an energy vector in rural sectors of the country. Regression models were prepared to estimate the fluctuation of the main variables involved in the process: the production of hydrogen, the efficiency of energy conversion, the cost of hydroelectricity and the cost of the electrolyser. Finally, the proposed model was applied to various different time-horizons and populations, obtaining the cost of hydrogen production in each case. The results obtained are well below those mentioned in the references, owing largely to the low cost of the electricity used, which accounts for around 45% of the total cost of the system.


Author(s):  
PANKAJ GUPTA ◽  
SHILPI VERMA ◽  
MUKESH KUMAR MEHLAWAT

The optimization techniques used in commercial-off-the-shelf (COTS) selection process faces challenges to deal with uncertainty in many important selection parameters, for example, cost, reliability and delivery time. In this paper, we propose a fuzzy optimization model for selecting the best COTS product among the available alternatives for each module in the development of modular software systems. The proposed model minimizes the total cost of the software system satisfying the constraints of minimum threshold on system reliability, maximum threshold on the delivery time of the software, and incompatibility among COTS products. In order to deal with uncertainty in real-world applications of COTS selection, the coefficients of the cost objective function, delivery time constraints and minimum threshold on reliability are considered fuzzy numbers. The fuzzy optimization model is converted into a pair of mathematical programming problems parameterized by possibility (feasibility) level α using Zadeh's extension principle. The solutions of the resultant problems at different α-cuts provide lower and upper bounds of the fuzzy minimum total cost which helps in constructing the membership function of the cost objective function. The solution approach provide fuzzy solutions instead of a single crisp solution thereby giving decision maker enough flexibility in maintaining cost-reliability trade-off of COTS selection besides meeting other important system requirements. A real-world case study is discussed to demonstrate the effectiveness of the proposed model in fuzzy environment.


Author(s):  
Nirmalya Mukhopadhyay

In this paper I am going to first explain in detail the role of Game Theory over Social Network Analysis. Then I will look into the Predictive model of Artificial Neural network & will explain in details that how this model will be used to develop a mathematical model which will fairly and efficiently allocate the required rate of bandwidth to all the users in a Multiuser Network System. Afterwards, I will propose some newly designed algorithms which will help me in the implementation of the mathematical model. The testing result of the implementation will compare our proposed architecture with the existing model. Finally, I will end this discussion by self-estimating our proposed model and judging the future scope of the same.


2021 ◽  
pp. 1-22 ◽  
Author(s):  
Hamid Rastegar ◽  
Behrouz Arbab Shirani ◽  
S. Hamid Mirmohammadi ◽  
Esmaeil Akhondi Bajegani

Bidding price decision is a key issue for the contractors and construction companies. The success/failure of the contractors in competitive biddings is directly dependent on their bidding strategy. This paper aims to develop a hybrid statistical and mathematical modeling approach for determining the optimum bidding price in construction projects. By statistical analysis of historical data, some uncertain parameters like the number of competitors and the cost of the project are estimated. Then, a scenario-based mathematical model for bidding price decision is proposed. In order to present a model in more accordance with the real-world situations, factors like risk, minimum acceptable rate of return (MARR) and opportunistic behavior are taken into account. In order to achieve an insensitive solution to the change in the realization of the input data from the scenarios, a robust mathematical model is used. The performance of the model is evaluated through some numerical problems. Furthermore, sensitivity analysis of the key parameters and robustness evaluation of the model against uncertain parameters are conducted. To evaluate the model's effectiveness in real-world situations, a case study is analyzed by the proposed approach. Numerical results show that the proposed approach reduces the cost estimation errors and increases the average expected profit, which validates the applicability of the model in a real-world situation.


Irriga ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 208-219
Author(s):  
Bruna Dalcin Pimenta ◽  
Adroaldo Dias Robaina ◽  
Marcia Xavier Peiter ◽  
Jhosefe Bruning ◽  
Miguel Chaiben Neto ◽  
...  

MODELO MATEMÁTICO PARA DETERMINAÇÃO DO DIÂMETRO ECONÔMICO DE TUBULAÇÕES DE RECALQUE     BRUNA DALCIN PIMENTA1; ADROALDO DIAS ROBAINA1; MARCIA XAVIER PEITER1; JHOSEFE BRUNING1; MIGUEL CHAIBEN NETO1 E YESICA RAMIREZ FLORES1   1Programa de Pós-Graduação em Engenharia Agrícola, Universidade Federal de Santa Maria/RS, Av. Roraima, nº 1000, Bairro Camobi, Santa Maria/RS, Brasil, CEP  97105-900, [email protected], [email protected], [email protected], [email protected], [email protected], [email protected].     1 RESUMO   O conhecimento do diâmetro econômico de tubulações é de grande importância em dimensionamentos de sistemas de recalque, pois, assim, é possível otimizar os custos de sistemas de irrigação. O objetivo deste trabalho foi propor um modelo matemático para o cálculo do diâmetro econômico de tubulações de recalque utilizadas em sistemas de bombeamento de água para irrigação. Na modelagem matemática do cálculo do diâmetro econômico foi utilizada, para mensurar a perda de carga, a equação de Hazen-Williams, levando em consideração o custo das tubulações, o custo do conjunto motobomba, o custo da energia consumida e o fator de recuperação do capital. Nas simulações foram utilizadas vazões de 25 a 500 l s-1, em intervalos de 25 l s-1, fator de recuperação do capital de 10, 15 e 20%, e preço da energia consumida de US$0,09, US$0,10 e US$0,11 kWh-1, para tubos de aço com espessura de 2,00mm, 2,65mm e 3,00mm. Para validação do modelo proposto, por meio da comparação com um modelo que utiliza a formulação de Darcy-Weisbach, foram utilizadas a raiz média do desvio quadrático, a raiz média do desvio quadrático normalizado, a eficiência do modelo e o índice geral de desempenho do modelo. Os resultados indicam que o modelo proposto apresenta índice geral de desempenho próximos a 1,00 em todos os cenários, podendo, dessa forma, ser utilizado com precisão para determinação do diâmetro econômico de tubulações de recalque sem necessidade do uso de equações que necessitam de processos iterativos para sua solução.   Palavras-chave: modelagem, irrigação, consumo de energia, Hazen-Williams.     PIMENTA, B. D.; ROBAINA, A. D.; PEITER, M. X.; BRUNING, J.; CHAIBEN NETO, M. E FLORES, Y. R. MATHEMATICAL MODEL FOR DETERMINING THE ECONOMIC DIAMETER OF PRESSURIZED PIPES     2 ABSTRACT   The knowledge of the economic diameter of pipelines is of great importance in the design of water pumping systems because it makes possible to optimize  costs of irrigation systems. The objective of this work was to propose a mathematical model for the calculation of the economic diameter of pressurized pipes used in water pumping systems for irrigation. In the economic diameter calculation mathematical modeling  Hazen-Williams equation was used to measure loss of load, taking into account the pipes’ cost, the cost of the motor pump, the cost of the energy consumed and the recovery factor of the capital. In the simulations, flow rates of 25 to 500 l s-1 were used, in intervals of 25 l s-1, capital recovery factor of 10, 15 and 20%, and energy price of US$0.09, US$0.10 and US$0.11 kWh-1, for steel pipes with thickness of 2.00mm, 2.65mm and 3.00mm. For validation of the proposed model, through comparison with a model using Darcy-Weisbach formulation, the mean root of the quadratic deviation, the mean root of the normalized quadratic deviation, the model efficiency and the overall performance index of the model were used. The results indicate that the proposed model presents a general index of performance close to 1.00 in all scenarios and can therefore be used with precision to determine the economic diameter of pressurized pipes without the use of equations that require processes solutions.   Keywords: modeling, irrigation, energy consumption, Hazen-Williams.


2018 ◽  
Author(s):  
Caterina Magri ◽  
Andrew Marantan ◽  
L Mahadevan ◽  
Talia Konkle

Author(s):  
Olga Mikhaylovna Tikhonova ◽  
Alexander Fedorovich Rezchikov ◽  
Vladimir Andreevich Ivashchenko ◽  
Vadim Alekseevich Kushnikov

The paper presents the system of predicting the indicators of accreditation of technical universities based on J. Forrester mechanism of system dynamics. According to analysis of cause-and-effect relationships between selected variables of the system (indicators of accreditation of the university) there was built the oriented graph. The complex of mathematical models developed to control the quality of training engineers in Russian higher educational institutions is based on this graph. The article presents an algorithm for constructing a model using one of the simulated variables as an example. The model is a system of non-linear differential equations, the modelling characteristics of the educational process being determined according to the solution of this system. The proposed algorithm for calculating these indicators is based on the system dynamics model and the regression model. The mathematical model is constructed on the basis of the model of system dynamics, which is further tested for compliance with real data using the regression model. The regression model is built on the available statistical data accumulated during the period of the university's work. The proposed approach is aimed at solving complex problems of managing the educational process in universities. The structure of the proposed model repeats the structure of cause-effect relationships in the system, and also provides the person responsible for managing quality control with the ability to quickly and adequately assess the performance of the system.


2020 ◽  
Vol 67 (1) ◽  
pp. 142-147
Author(s):  
Alina A. Aleksandrova ◽  
Maksim S. Zhuzhin ◽  
Yuliya M. Dulepova

Energy saving today is an integral part of the development strategy of agricultural organizations. Considerable attention is paid to the modernization and automation of technological processes in agricultural enterprises, which can improve the quality of work and reduce the cost of production. The direction of modernization is to reduce the consumption of electric energy by improving the water treatment system in livestock complexes. (Research purpose) The research purpose is to determine the potential of solar energy used in the Nizhny Novgorod region and to determine the possibility of its use for water heating in livestock complexes and to consider the cost-effectiveness of using a device to heat water through solar energy. (Materials and methods) Authors used an improved algorithm of Pixer and Laszlo, applied in the NASA project «Surface meteorology and Energy», which allows to calculate the optimal angle of inclination of the device for heating water. (Results and discussion) Designed a mock-up of a livestock complex with a solar water heater installed on the roof, protected by patent for invention No. 2672656. A mathematical model was designed experimentally to predict the results of the plant operation in non-described modes. (Conclusions) The article reveales the optimal capacity of the circulation pump. Authors have created a mathematical model of the device that allows to predict the water heating in a certain period of time. The article presents the calculations on the energy and economic efficiency of using a solar water heater. An electric energy saving of about 30 percent, in the economic equivalent of 35 percent.


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