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international conference on modeling and simulation in engineering, economics, and management, MS 2013

ISBN: (纸本)9783642382789

The proceedings contain 28 papers. The special focus in this conference is on modeling and simulation in engineering, economics, and management. The topics include: Stock market simulation: Heavy tails through normal perturbation;simulation-optimization methods in vehicle routing problems: A literature review and an example;technical staff motivation in nigeria: A strategic imperative;a hybrid algorithm for solving a bilevel production-distribution planning problem;a simulation study regarding different aircraft boarding strategies;routing simulation model with allocation of burdens multimodal;a simulation-based approach for solving the aircraft turnaround problem;sovereign bond spreads evolution in Latin American countries;application of the hj biplot methodology to variation greenhouse gas emissions in international companies;a model of currency crisis under the possibility of government resignation;utilizing neuronal calculus in predicting inflation;pEV: A computer program for fuzzy sales forecasting;decision making with fuzzy moving averages and OWA operators;a generalization of the variance by using the ordered weighted average;application of finite spectrum assignment method on distillation column;kinetic modelling of sphalerite in sulfuric acid solution;distributed and time-delay analyse of pneumatic signals in long pipelines;comparison between two methods for characterization of a patch antenna array: Experimental and by simulation;introducing integrated acceptance and sustainability assessment of technologies: A model based on system dynamics simulation;incorporating stakeholders’ preferences into csr ratings: Fuzzy topsis approach to evaluate agri-food companies;how to apply model driven engineering to develop corporate social responsibility computer systems;a model for estimating cash flows in firms backed by venture capital.

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modeling and simulation in engineering, economics, and management: international conference, MS 2013, Castellón de la Plana, Spain, June 6-7, 2013. Proceedings 1

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丛书名： Lecture Notes in Business Information Processing

2013年

作者： Idoya Ferrero-Ferrero, María Ángeles Fernández-Izquierdo, María Jesús Muñoz-Torres (auth.), María Ángeles Fernández-Izquierdo, María Jesús Muñoz-Torres, Raúl León (eds.)

ISBN: (数字)9783642382796

ISBN: (纸本)9783642382789;9783642382796

This book contains the refereed proceedings of the international conference on modeling and simulation in engineering, economics, and management, MS 2013, held in Castelln de la Plana, Spain, in June 2013. The event was co-organized by the AMSE Association and the SoGReS Research Group of the Jaume I University. This edition of the conference paid special attention to modeling and simulation in diverse fields of business *** 28 full papers in this book were carefully reviewed and selected from 65 submissions. They are organized in topical sections on: modeling and simulation in CSR and sustainable development; modeling and simulation in finance and accounting; modeling and simulation in management and marketing; modeling and simulation in economics and politics; knowledge-based expert and decision support systems; and modeling and simulation in engineering.

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modeling and simulation in engineering, economics, and management - international conference, MS 2012, Proceedings

Modeling and Simulation in Engineering, Economics, and Manag...

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international conference on modeling and simulation in engineering, economics, and management, MS 2012

ISBN: (纸本)9783642304323

The proceedings contain 26 papers. The topics discussed include: social networks and social information sharing using fuzzy methods;using analytical methods in business continuity planning;using neural networks to model sovereign credit ratings: application to the European Union;solvency capital estimation and risk measures;decision making of customer loyalty programs to maintain consumer constancy;user and usage constraints in information systems development - application to university: a case study of Lagos State University, Lagos, Nigeria;the algorithm of optimal polynomial extrapolation of random processes;an analytic framework for assessing automobile sales loss from recalls: a Toyota case study;a method for uncertain sales forecast by using triangular fuzzy numbers;a metaheuristic approach for supply chain network design problems;and random forests for uplift modeling: an insurance customer retention case.

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modeling and simulation in engineering, economics, and management: international conference, MS 2013, Castelln de la Plana, Spain, June 6-7, 2013, Proceedings

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2013年

作者： María Ángeles Fernández-Izquierdo María Jesús Muñoz-Torres Raúl León

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Game-based Intelligent Optimization for Pricing of Duopoly Industrial Supply Chains based on Two-level Gradient Equilibrium Algorithm 24

Game-based Intelligent Optimization for Pricing of Duopoly I...

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8th international conference on Computer Science and Application engineering, CSAE 2024

作者： Chu, Xuejian Chen, Nannan Yang, Yubin School of Management Shanghai University Shanghai Shanghai China School of Economics and Management Ningbo University of Technology Zhejiang Ningbo China

ISBN: (纸本)9798400718090

Recently, intelligent computation algorithms have been extended into every field, and the trend of digitization and intelligence in the decision-making system of supply chain management is becoming more and more obvious. In this article, the pricing intelligent optimization management for the duopoly supply chains is considered and the optimal pricing model based on the Stackelberg-Nash equilibrium model is constructed. The corresponding autonomous two-level gradient-based equilibrium algorithm for the pricing management systems is designed to analyze the modeling characteristics of the pricing optimal model with the simulation results. Firstly, the profit models of the retailers and manufacturers are given by analyzing the demand and occurred costs for the duopoly supply chain systems. Based on the above models, the optimal pricing strategy based on the Stackelberg-Nash game are constructed and the corresponding Nash equilibrium (NE) points for the optimal pricing are obtained according to the profit models. Furthermore, the novel two-level gradient-based algorithm for the pricing management systems is designed to obtain the optimal equilibrium points of the unit retail price, unit wholesale price, and length of the replenishment cycle. Finally, the designed gradient-based algorithm is implemented through the simulation, and the optimization characteristics of the game-based optimal model are analyzed. The NE-based optimal prices and the convergence of the proposed algorithm for retailers and manufacturers are illustrated by the simulation results. © 2024 Copyright held by the owner/author(s).

关键词： Sales

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Economic Market Transaction Risk management of High-Frequency Data Models in Computer System-Assisted Environment 14th

Economic Market Transaction Risk Management of High-Frequenc...

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14th international conference on Frontier Computing, FC 2024

作者： Liu, Shiqi Yang, Yingying Zhang, Boyu School of Mathematics and Statistics Chongqing Jiaotong University Chongqing40410 China School of Economics and Management Chongqing Jiaotong University Chongqing40410 China School of Liberal Arts and Law Henan Polytechnic University Henan Jiaozuo454150 China

ISBN: (纸本)9789819623907

With the rapid development of computer technology, the era of high-speed data has arrived. In this era, in-depth research on high-frequency digital models is required. This article first conducts a detailed analysis of the data model in the computer system-assisted environment, and then discusses related issues such as high-frequency data modeling and simulation from the perspective of the economic market. On this basis, this article proposes a new high-frequency data modeling method under the dual-machine intelligent management mode of the economic market, and establishes an economic and social benefit evaluation index system. At the same time, this article uses the MATLAB simulation toolbox to build an experimental prototype system and evaluates the performance of the model. The experimental results show that the minimum standard deviation of the model is 0.0001 and the maximum is 0.000563;the P value is between 0.01–0.06, and the closer the value is to 0. This shows that the algorithm has the advantages of strong adaptability and easy implementation of functions. This series of research and experiments provides strong support for high-frequency data modeling and economic and social benefit evaluation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Digital elevation model

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A probabilistic modeling and simulation framework for power grid flood risk assessment

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international JOURNAL OF DISASTER RISK REDUCTION 2025年 120卷

作者： Asaridis, Panagiotis Molinari, Daniela Di Maio, Francesco Ballio, Francesco Zio, Enrico Politecn Milan Dept Civil & Environm Engn Milan Italy Politecn Milan Dept Energy Milan Italy Mines Paris PSL Ctr Rech Risques & Crises CRC Sophia Antipolis France

Floods can cause power outages with widespread impacts on socio-economic activities dependent on electricity for their functioning. Effective flood risk management requires comprehensive damage assessment, yet methodologies to estimate the entire range of expected damages are lacking. This paper presents a new modeling and simulation probabilistic framework for the assessment of damages to power grids exposed to floods. The framework combines modeling tools and approaches from engineering, economics and sociology, namely a flood inundation model to generate stochastic hazard scenarios, fragility curves to describe the stochastic failure process of components in the power grid conditioned to the hazard, a simulation-based model to analyze the power flow, and a socio-economic model to characterize the customers connected to the power grid. Consequently, the framework enables: (i) considering the stochastic magnitude and frequency of floods, (ii) evaluating the vulnerability of power grids components, (iii) estimating their spatio-temporal probabilities of failure, (iv) analyzing the cascading effects across power transmission and distribution networks, and (v) assessing the impact of power outages on the final customers and their likelihood. A synthetic case study is worked out by adapting the IEEE 14 power grid benchmark to the Italian context, proving how the framework allows the identification of the most critical components for the security of power supply during flooding. The outcomes from the implementation of the framework can support civil protection agencies and grid operators in the decision on pre- and post-disruption mitigation strategies, so to guarantee public safety, secure power supply and ensure financial well-being.

关键词： Power grids Flood risk Risk assessment

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Application and practice of digital twin technology in train system optimization and simulation 3

Application and practice of digital twin technology in train...

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3rd international conference on Algorithms, Network, and Communication Technology, ICANCT 2024

作者： Liu, Tai Dong, Wei Yin, Jilei Sun, Kexin Li, Shijie CRRC Qingdao Sifang Co. Ltd. Qingdao266111 China

ISBN: (数字)9781510688902

ISBN: (纸本)9781510688896

In the era of rapid development, promoting the engineering application of digital trains is an important work that cannot be ignored. This research takes the construction of digital bogies as a breakthrough point to carry out the research on the key technology of digital twin modeling and simulation. The efficiency and accuracy of fault diagnosis and health management of bogies can be further improved by realizing virtual-real blending between physical entity and digital twin. In this paper, a frame structure for the construction of bogie digital twins is proposed, which can realize the real-time dynamic display and feedback design of key technical indexes of dynamics and structural strength. At the same time, the four key technologies and technical routes of bogie twin modeling are discussed, and the simulation methods and steps of bogie dynamic twin model and structural strength twin model are given. Through comparative analysis of several simulation test design schemes, an optimal proposal scheme is finally given. The application of digital twin technology can not only improve the efficiency and accuracy of bogie fault diagnosis and health management, but also provide strong support for train system optimization and simulation, so as to provide an important reference for the innovation of train operation and maintenance mode. © 2025 SPIE.

关键词： Bogies (railroad rolling stock)

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The Use of simulation modeling in Hospital Pharmacy Inventory management 6

The Use of Simulation Modeling in Hospital Pharmacy Inventor...

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6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Kritchanchai, Duangpun Supeekit, Tuangyot Chanpuypetch, Wirachchaya Department of Industrial Engineering Faculty of Engineering Mahidol University Nakhonpathom Salaya Thailand Faculty of Agro-Industry Chiang Mai University Samut Sakhon Thailand

Hospitals currently face numerous challenges in managing their pharmacy operations efficiently. While Business Process Reengineering (BPR) has been proposed as a solution, its implementation in healthcare is more complex than in other industries. Healthcare professionals often struggle to identify problems and resist change. simulation modeling is a technique that can visually present issues and facilitate user acceptance of changes. This paper systematically explores the application of discrete event simulation (DES) modeling in hospital pharmacy management. The specific problem of inefficient inventory control policies was analyzed and simulated using primary and secondary data from a tertiary care hospital case study in Thailand, focusing on a fast-moving drug called "Tear Natural Free (TNF)". The simulation revealed the current inefficient performance, highlighting various phenomena such as demand characteristics, inventory levels, and stock-outs in each pharmacy room. The simulation outputs were utilized to identify alternative scenarios for further analysis of the effects of changing the business process. The most suitable forecasting technique and inventory replenishment policy for this type of item were determined to be Croston's method and continuous review order-point, order-up-to-level (s, S) or min-max policy, respectively. simulation modeling can serve as a valuable tool in identifying problems and improving business processes in hospital pharmacy management. © 2025 Elsevier B.V.. All rights reserved.

关键词： Inventory control

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Investigating the Advantages and Limitations of Math modeling for Wireless Sensor Networks 5th

Investigating the Advantages and Limitations of Math Modelin...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Zaidi, Taskeen Ansari, Tabish Sindhuri, Bonda Prema Alam, Intekhab Karnataka Bangalore India Department of Civil Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

This paper investigates the blessings and obstacles of math modeling for wireless Sensor Networks (WSNs). WSNs may be immediately evaluated on a performance basis or analyzed to address protection and reliability troubles. However, mathematical models ignore the sensors’ heterogeneity and the networks’ distributed nature. Similarly, the mission is to validate the results to ensure actual performance. Other WSNs that need attention and mathematical modeling include their management algorithms, optimizations, MAC protocols, power management, and *** comparison, sure advantages exist in math modeling, understanding complex problems, coming across new solutions and situations, and the capacity to expect effects. This paper aims to review the advantages and obstacles of math modeling for WSNs and concludes by providing hints on how WSNs can gain from mathematical modeling. Math modeling holds the splendid capacity for wireless Sensor Networks (WSNs) because it comprehensively clarifies complex actual-global troubles. Math modeling offers an established framework to conceptualize, examine, and endorse answers for diverse WSN deployments. Its relative predictability and simulation accuracy can assist in perceiving hidden insights and generate reliable outcomes. However, it has some critical boundaries. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： modeling Sensor simulation

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