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Relevant bibliographies by topics / Industrial economics; Simulation models

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Journal articles

Academic literature on the topic 'Industrial economics; Simulation models'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Industrial economics; Simulation models"

1

Borodin, Alex, Irina Mityushina, Elena Streltsova, Andrey Kulikov, Irina Yakovenko, and Anzhela Namitulina. "Mathematical Modeling for Financial Analysis of an Enterprise: Motivating of Not Open Innovation." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1 (2021): 79. http://dx.doi.org/10.3390/joitmc7010079.

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The article develops economic and mathematical models as a tool for conducting factor financial analysis of the prospects for the development of an industrial enterprise. The functioning of the developed economic and mathematical models is based on the DuPont model, which allows analyzing the dynamics of the company’s profitability in the course of two-factor and three-factor financial analysis. The proposed model tools are based on the convergence of deterministic financial analysis methods embedded in the DuPont model and simulation methods that allow analysis under the influence of random f

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2

HUANG, ZHENZHEN, and YUE KUEN KWOK. "EFFICIENT RISK MEASURES CALCULATIONS FOR GENERALIZED CREDITRISK+ MODELS." International Journal of Theoretical and Applied Finance 24, no. 02 (2021): 2150012. http://dx.doi.org/10.1142/s0219024921500126.

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Numerical calculations of risk measures and risk contributions in credit risk models amount to the evaluation of various forms of quantiles, tail probabilities and tail expectations of the portfolio loss distribution. Though the moment generating function of the loss distribution in the [Formula: see text] model is available in analytic closed form, efficient, accurate and reliable computation of risk measures (Value-at-Risk and Expected Shortfall) and risk contributions for the [Formula: see text] model poses technical challenges. We propose various numerical algorithms for risk measures and

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3

Якимов, Анатолий, Anatoliy Yakimov, Константин Захарченков, and Konstantin Zakharchenkov. "Computer software for the evaluation of economic management of industrial enterprise on the basis of the simulation model." Bulletin of Bryansk state technical university 2014, no. 1 (2014): 94–101. http://dx.doi.org/10.12737/23387.

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The information assessments are developed to determine requirements to software-based simulation model. Software tools are designed to support decision-making control in the economic systems of enterprises. The software tools are focused on operation of simulation models by the makers managerial decisions.

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4

Li, Xianying, Feng Xu, Nan Xiang, Yating Wang, and Yingkui Zhang. "Dynamic Optimized Cleaner Production Strategies to Improve Water Environment and Economic Development in Leather Industrial Parks: A Case Study in Xinji, China." Sustainability 11, no. 23 (2019): 6828. http://dx.doi.org/10.3390/su11236828.

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The leather industry has contributed significantly to economic development, but serious water environmental problems have arisen due to manufacturing processes in this industry. The leather industry must implement sustainable development by improving cleaner production capabilities under the Chinese ecological development background. The Xinji industrial park in China has the largest leather production base in which the leather industry is the leading industry that contributes nearly 50% of economic gains. This study investigated optimal cleaner production strategies for the leather industrial

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5

Mncube, Liberty, Hardin Ratshisusu, and Bheki Dlamini. "On merger simulation and its potential role in south african merger control." South African Journal of Economic and Management Sciences 13, no. 1 (2011): 62–75. http://dx.doi.org/10.4102/sajems.v13i1.198.

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This paper simulates the price effects of the proposed Ferro Industrial Products (Ferro) and Powder-Lak merger in order to suggest the role that merger simulation models should play in South African merger control. Merger simulation can provide support to the Commission’s analysis by; focusing parties’ attentions on verifiable economic arguments; making transparent the values of the key parameters and assumptions in the Commission’s analysis; producing quantitative estimates of the results of a given transaction; and indicating the amount of resources to allocate to proposed merger cases. Howe

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6

Rosenzweig, Cynthia, Alex C. Ruane, John Antle, et al. "Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 376, no. 2119 (2018): 20160455. http://dx.doi.org/10.1098/rsta.2016.0455.

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The Agricultural Model Intercomparison and Improvement Project (AgMIP) has developed novel methods for Coordinated Global and Regional Assessments (CGRA) of agriculture and food security in a changing world. The present study aims to perform a proof of concept of the CGRA to demonstrate advantages and challenges of the proposed framework. This effort responds to the request by the UN Framework Convention on Climate Change (UNFCCC) for the implications of limiting global temperature increases to 1.5°C and 2.0°C above pre-industrial conditions. The protocols for the 1.5°C/2.0°C assessment establ

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7

Stasiek, M., and Andreas Öchsner. "Numerical Simulation of Carburization and Decarburization Profiles in Steels." Defect and Diffusion Forum 258-260 (October 2006): 366–71. http://dx.doi.org/10.4028/www.scientific.net/ddf.258-260.366.

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Due to economic significance, industry demands on mathematical models, which allow for the prediction of realistic carburization and decarburization depth profiles. Analytical solutions of Fick’s law, however, are of limited aptitude, as the concentration dependence of the diffusion coefficient of carbon in steel cannot be considered. Thus, the present paper presents a numerical simulation tool based on the finite element method (FEM). A widespread commercially available program system was used to ensure industrial applicability and to make a contribution to the standardizing of operation cont

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8

Nedosekin, Alexey, Zinaida Abdoulaeva, Evgenii Konnikov, and Alexander Zhuk. "Fuzzy Set Models for Economic Resilience Estimation." Mathematics 8, no. 9 (2020): 1516. http://dx.doi.org/10.3390/math8091516.

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(1) Presented models are proposed for analyzing the resilience of an economic system in a framework of a 4 × 6 matrix, the core of which is a balanced scorecard (BSC). Matrix rows present strategic perspectives, matrix columns present strategic maps. (2) Resilience assessment models are based on fuzzy logic and soft computing, combined with systemic-cybernetic approaches to building presented models. The simplest models are Zadeh linguistic variables that describe key performance indicators (KPIs). The BSC model is an acyclic graph with fuzzy links that are calibrated based on special rules. T

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9

Phillips, Peter C. B., and Werner Ploberger. "Posterior Odds Testing for a Unit Root with Data-Based Model Selection." Econometric Theory 10, no. 3-4 (1994): 774–808. http://dx.doi.org/10.1017/s026646660000877x.

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The Kalman filter is used to derive updating equations for the Bayesian data density in discrete time linear regression models with stochastic regressors. The implied “Bayes model” has time varying parameters and conditionally heterogeneous error variances. A σ-finite Bayes model measure is given and used to produce a new-model-selection criterion (PIC) and objective posterior odds tests for sharp null hypotheses like the presence of a unit root. This extends earlier work by Phillips and Ploberger [18]. Autoregressive-moving average (ARMA) models are considered, and a general test of trend-sta

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10

Diaz, Rafael, and Mike Bailey. "Building knowledge to improve enterprise performance from inventory simulation models." International Journal of Production Economics 134, no. 1 (2011): 108–13. http://dx.doi.org/10.1016/j.ijpe.2011.05.024.

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