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This paper examines the problem of choice investment strategies of firms in an oligopoly markets. We study the impact of investment strategies of companies on its financial performance and the efficiency of investment under demand uncertainty and competition in the market. A mathematical model describing the investment behavior of firms in an oligopoly markets presented. A solution of the problem...
The increasing amount of gathered sensor data in Industry 4.0 allows comprehensive data analysis software that creates value-adding opportunities. As companies often cannot implement such software by themselves and as they typically don't want to give their data to external scientists, they commission them to build the required software in order to execute it locally. However, installing, configuring,...
Microbial Fuel Cell (MFC) power production and Microbial Electrolysis Cell (MEC) organic production depend strongly on their dynamic environment conditions, like inlet substrate concentration, temperature, etc. This work presents a discrete extremum seeking controller to quickly tune the MFC and MEC electrical settings in order to achieve maximum performance irrespective of these dynamic environment...
The present work is focused for the modelling, analysing, and evaluating of the obtained results from the simulation of the electric vehicles demand with “EnergyPLAN”. The models have developed for creating an optimal structure of the energy supply for electrical vehicles useful in Romanian energy system. For reducing greenhouse gas emissions and for decarbonizing the economy in the following period,...
This paper presents the modeling, simulation of a double-stage evaporation process to obtain Bioethanol from sugarcane juice; the model was validated with data from a plant located in Peru. So is the calculation of a Nonlinear Control and optimization following the Extended Prediction Self-Adaptive Control approach, because it has less computational load. The results achieved the control of juice...
Among the industries fundamental for modern life, wastewater treatment receives increasing interest for its potential to recuperate valuable resources. The biogas obtained through anaerobic digestion, more specifically, the methane it contains, often represents a powerful asset in operating a WWTP (wastewater treatment plant) economically. However, the microbiological processes that lead to obtaining...
The possibilities of gaming simulation to support the adoption of a broad range of planned and operational decisions in the management of enterprises and corporations are considered. The capabilities developed to date tools game modeling and original approach based on a synthesis of basic concepts of game theory and operations research with the ideas analytical accounting, the strict definition of...
The need to improve the quality of management at minimum costs, the complexity of the structure of the management object, the functions performed by it, leads to an increase in uncertainties that need to be taken into account. Application of typification and unification will allow to reduce the cost of production of new products, to increase the level of automation of productions.
Quantitative genetics is the study of complex biological traits, or traits controlled by more than one gene. A primary goal of quantitative genetic studies is the development of computational models for predicting the evolution of such traits in response to selection. Most models for analyzing the evolution of multiple traits employ a constant genetic variance-covariance matrix (G-matrix) to describe...
Globalizing changes in society are able to influence changes in the economies of individual countries. Individual economic entities from various sectors attempt to achieve high economic performance and development. They do this within the conditions that are possible at that time; if there are favorable conditions for their development, this will result in creating innovative production and its subsequent...
Energy resources are one of the main components of the production cost. The volume of this kind of cost depends on the consumption and tariffs set by suppliers. The branches of the economy are mutually related at the stage of production and sales. A number of macroeconomic indicators, which are quite complex systems, characterizes their activities. Identify the impact on them of tariffs on energy...
This paper presents a prediction model to predict biogas production for anaerobic digestion process of food waste. There exist sophisticated biogas production models in published literature, but the application of these models in anaerobic digestion process of food waste is often impractical because of its high complexity. Considering the shortcomings of the accuracy of these biogas production prediction...
In the paper, existence and coalitional stability problems for Walras equilibrium in the models of multiregional economic systems are considered. Here, we continue investigations on extremal characterization of equilibrium allocations in non-classic market being a modification of the well-known Arrow-Debreu model. It is shown that strict autarchy and non-satiation conditions guarantee coincidence...
The importance of enterprise innovation risk management is constantly increasing, because it has influence on the company's leading positions, increasing its competitiveness in the domestic and international markets. It also helps to increase the economic and production potentials that are necessary to implement the innovative development strategy of the state as a whole. There are certain problems...
A multicriteria economic problem is considered: the basic production assets and the labor resources define a set of feasible solutions (alternatives); labor costs, costs of the basic production assets (to be minimized), and cost of the manufactured products (to be maximized) are objective functions. The production function with constant elasticity of substitution is used. The decision maker's (DM's)...
In this study, we present a computational model of Parkinson's disease (PD) that includes different biological interactions that leads to neural cell death with the use of biochemical systems theory. The model incorporates a set of important pathways in PD including dopaminergic pathway, mitochondrial pathway and P53 — DNA damage pathway. Modeling signaling pathways and simulations were performed...
This paper presents an economic optimization case study for a medium-scale hybrid PV-battery system. PV energy yield and battery operation models based on hourly satellite insolation and daily temperature data form the basis of an underlying objective function aiming to maximize the net present value of potential energy cost savings. Forecasted system prices and energy tariffs over a nine-year period...
This paper focuses on examining how to develop and combine cost management, sustainability and emission reporting systems by utilizing Big Data. We provide evidence that shows how Big Data brings company-wide business benefits if data queries and interfaces are built to be interactive, intuitive and user friendly. Proper algorithm design and programming is a key factor in order to make the most of...
Land is one of the most important factors that affect the economic growth. Studying on the theory of the problem that how land consolidation acts on the economy and industrial development will become a new research field along with the widely development of land consolidation projects in national scope. The article studies how land consolidation impacts on the economic growth through the economic...
Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the current mode of the system and enables one to build a model for each individual operating mode. Using these models in a multi-mode system, one may distinguish modes of the system and, furthermore, detect whether the current mode is a (normal or faulty) mode known from historical...
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