Download or read book Dynamic Multilevel Modeling in the Design of Decision Support Systems for Rescue Simulation written by Thi Ngoc Anh Nguyen and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the world's worst natural disasters is tsunami, in particularly when they hit a crowded coastal city. Coastal cities need to be prepared for such disasters in order to mitigate losses. One major problem would be to find the best evacuation procedure in evacuating a coastal city so as to minimize the number of casualties. In this thesis, we address the problems which involved scaling up simulations for evacuating of pedestrians in a city. Firstly, EBMs have the advantage of solving the big problems in acceptable time. Therefore, EBMs are chosen for optimizing sign placement system by Minimization of Average Evacuation Time (MAET). In addition, we use Lighthill, Whitham and Richards model (LRW) of pedestrian flow on a road network. However, they are difficult to consider the problem in detail with different realistic factors. While Agent-based models (ABMs) take into account the heterogeneity of pedestrians' behaviors and the unspecified road network conditions. However, the computational cost was huge when applied for larger number of evacuees and large dynamic environment. The result of simulation using ABM requires huge experiments, so the speed of simulation is a problem that we want to investigate. We consider a Hybrid-based model (HBM) combining the advantages of both ABM and EBM. Thirdly, the problem of speeding up very large environment in ABMs such as the ones used in crowd simulation is key to support realistic Decision Support Systems. The key idea is to exploit the advantages from both macro and micro modeling. Last but not least, the results achieved in the thesis are: (i) Formulating the problem of evacuation; (ii) Formulating the optimal alert signs system; (iii) Describing the initial population distribution (iv) Simulating Tsunami evacuation on road network of Nha Trang city; (v) Building the Hybrid-Based Model to speed up simulation; (vi) Integrating ABM and MAET to make the results better for the optimal alert signs system.
Download or read book Developing Modular Oriented Simulation Models Using System Dynamics Libraries written by Christian K. Karl and published by Springer. This book was released on 2016-06-13 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief introduces the development and practical application of a module-oriented development framework for domain specific system-dynamic libraries (SDL approach), which can be used in the simulation of multi-causal and dynamic relationships on different levels of an industry, as an example the construction industry. Multidisciplinary research and development teams, scientists from different domains as well as practitioners can develop SDL units from varying perspectives based on this approach. For example, the explanation of the risk situation of a company, the identification and evaluation of project risks, endangered operational procedures on various functional levels, or to improve the understanding of the decision making process in detail. This book is an excellent source for researchers, programmers and practitioners. It enables the development of suitable simulation systems from the beginning and demonstrates that it is possible to connect the development of simulation models and daily work. It provides advanced-level students from different domains with a comprehensive overview and clear understanding of a new and valuable modeling technique.
Download or read book Model Based Decision Support Methodology with Environmental Applications written by Andrzej P. Wierzbicki and published by Springer. This book was released on 2000-05-31 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complexity of issues requiring rational decision making grows and thus such decisions are becoming more and more difficult, despite advances in methodology and tools for decision support and in other areas of research. Globalization, interlinks between environmental, industrial, social and political issues, and rapid speed of change all contribute to the increase of this complexity. Specialized knowledge about decision-making processes and their support is increasing, but a large spectrum of approaches presented in the literature is typically illustrated only by simple examples. Moreover, the integration of model-based decision support methodologies and tools with specialized model-based knowledge developed for handling real problems in environmental, engineering, industrial, economical, social and political activities is often not satisfactory. Therefore, there is a need to present the state of art of methodology and tools for development of model-based decision support systems, and illustrate this state by applications to various complex real-world decision problems. The monograph reports many years of experience of many researchers, who have not only contributed to the developments in operations research but also succeeded to integrate knowledge and craft of various disciplines into several modern decision support systems which have been applied to actual complex decision-making processes in various fields of policy making. The experience presented in this book will be of value to researchers and practitioners in various fields. The issues discussed in this book gain in importance with the development of the new era of the information society, where information, knowledge, and ways of processing them become a decisive part of human activities. The examples presented in this book illustrate how how various methods and tools of model-based decision support can actually be used for helping modern decision makers that face complex problems. Overview of the contents: The first part of this three-part book presents the methodological background and characteristics of modern decision-making environment, and the value of model-based decision support thus addressing current challenges of decision support. It also provides the methodology of building and analyzing mathematical models that represent underlying physical and economic processes, and that are useful for modern decision makers at various stages of decision making. These methods support not only the analysis of Pareto-efficient solutions that correspond best to decision maker preferences but also allow the use of other modeling concepts like soft constraints, soft simulation, or inverse simulation. The second part describes various types of tools that are used for the development of decision support systems. These include tools for modeling, simulation, optimization, tools supporting choice and user interfaces. The described tools are both standard, commercially available, and nonstandard, public domain or shareware software, which are robust enough to be used also for complex applications. All four environmental applications (regional water quality management, land use planning, cost-effective policies aimed at improving the European air quality, energy planning with environmental implications) presented in the third part of the book rely on many years of cooperation between the authors of the book with several IIASA's projects, and with many researchers from the wide IIASA network of collaborating institutions. All these applications are characterized by an intensive use of model-based decision support. Finally, the appendix contains a short description of some of the tools described in the book that are available from IIASA, free of charge, for research and educational purposes. The experiences reported in this book indicate that the development of DSSs for strategic environmental decision making should be a joint effort involving experts in the subject area, modelers, and decision support experts. For the other experiences discussed in this book, the authors stress the importance of good data bases, and good libraries of tools. One of the most important requirements is a modular structure of a DSS that enhances the reusability of system modules. In such modular structures, user interfaces play an important role. The book shows how modern achievements in mathematical programming and computer sciences may be exploited for supporting decision making, especially about strategic environmental problems. It presents the methodological background of various methods for model-based decision support and reviews methods and tools for model development and analysis. The methods and tools are amply illustrated with extensive applications. Audience: This book will be of interest to researchers and practitioners in the fields of model development and analysis, model-based decision analysis and support, (particularly in the environment, economics, agriculture, engineering, and negotiations areas) and mathematical programming. For understanding of some parts of the text a background in mathematics and operational research is required but several chapters of the book will be of value also for readers without such a background. The monograph is also suitable for use as a text book for courses on advanced (Master and Ph.D.) levels for programs on Operations Research, decision analysis, decision support and various environmental studies (depending on the program different parts of the book may be emphasized).
Download or read book Agent Based Modelling of Socio Technical Systems written by Koen H. van Dam and published by Springer Science & Business Media. This book was released on 2012-10-09 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.
Download or read book Progress in Landslide Research and Technology Volume 1 Issue 2 2022 written by Irasema Alcántara-Ayala and published by Springer Nature. This book was released on 2023-01-10 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the progress in landslide research and technology and is part of a book series of the International Consortium on Landslides (ICL). It gives an overview of recent progress in landslide research and technology for practical applications and the benefit for the society contributing to understanding and reducing landslide disaster risk.
Download or read book Agent based Modeling and Simulation written by S. Taylor and published by Springer. This book was released on 2014-08-27 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operational Research (OR) deals with the use of advanced analytical methods to support better decision-making. It is multidisciplinary with strong links to management science, decision science, computer science and many application areas such as engineering, manufacturing, commerce and healthcare. In the study of emergent behaviour in complex adaptive systems, Agent-based Modelling & Simulation (ABMS) is being used in many different domains such as healthcare, energy, evacuation, commerce, manufacturing and defense. This collection of articles presents a convenient introduction to ABMS with papers ranging from contemporary views to representative case studies. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the esteemed Operational Research Society and its associated journals, also published by Palgrave Macmillan.
Download or read book Decision Support Systems written by Daniel Power and published by iUniverse. This book was released on 2004-12-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision Support Systems: Frequently Asked Questions is the authoritative reference guide to computerized Decision Support Systems. Author Dan Power has spent almost 30 years building, studying and teaching others about computerized Decision Support Systems. Dr. Power is first and foremost a Decision Support evangelist and generalist. From his vantage point as editor of DSSResources.COM, he tracks a broad range of contemporary DSS topics. In this DSS FAQ, Dr. Power answers 83 frequently asked questions about computerized decision support systems. The FAQ covers a broad range of contemporary topics and the questions are organized into 8 chapters. DSS FAQ helps readers understand questions like: What is a DSS? What kind of DSS does Mr. X need? Does data modeling differ for a Data-Driven DSS? Is a Data Warehouse a DSS? Is tax preparation software an example of a DSS? What do I need to know about Data Warehousing/OLAP? What is a cost estimation DSS? What is a Spreadsheet-based DSS? Decision Support Systems: Frequently Asked Questions is a useful resource for IT specialists, students, professors and managers. It organizes important Ask Dan! questions (with answers) published in DSS News from 2000 through 2004.
Download or read book Index to Simulation Literature 1976 1981 written by Per A. Holst and published by . This book was released on 1982 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Modeling for Industrial Organizational Psychologists written by Jeffrey B. Vancouver and published by Taylor & Francis. This book was released on 2023-11-02 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection provides a primer to the process and promise of computational modeling for industrial-organizational psychologists. With contributions by global experts in the field, the book is designed to expand readers’ appreciation for computational modeling via chapters focused on key modeling achievements in domains relevant to industrial-organizational psychology, including decision making in organizations, diversity and inclusion, learning and training, leadership, and teams. To move the use of computational modeling forward, the book includes specific how-to-chapters on two of the most commonly used modeling approaches: agent-based modeling and system dynamics modeling. It also gives guidance on how to evaluate these models qualitatively and quantitatively, and offers advice on how to read, review, and publish papers with computational models. The authors provide an extensive description of the myriad of values computational modeling can bring to the field, highlighting how they offer a more transparent, precise way to represent theories and can be simulated to offer a test of the internal consistency of a theory and allow for predictions. This is accompanied by an overview of the history of computational modeling as it relates to I-O psychology. Throughout, the authors reflect on computational modeling’s journey, looking back to its history as they imagine its future in I-O psychology. Each contribution demonstrates the value and opportunities computational modeling can provide the individual researcher, research teams, and fields of I-O psychology and management. This volume is an ideal resource for anyone interested in computational modeling, from scholarly consumers to computational model creators. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1971 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Business Dynamics Systems Thinking and Modeling for a Complex World with CD ROM written by John Sterman and published by McGraw-Hill Education. This book was released on 2000-02-23 with total page 982 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s leading authority on the subject of this text is the author, MIT Standish Professor of Management and Director of the System Dynamics Group, John D. Sterman. Sterman’s objective is to explain, in a true textbook format, what system dynamics is, and how it can be successfully applied to solve business and organizational problems. System dynamics is both a currently utilized approach to organizational problem solving at the professional level, and a field of study in business, engineering, and social and physical sciences.
Download or read book Government Reports Annual Index written by and published by . This book was released on 1990 with total page 1604 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book CAD CAM Abstracts written by and published by . This book was released on 1992 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Discrete Choice Methods with Simulation written by Kenneth Train and published by Cambridge University Press. This book was released on 2009-07-06 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.
Download or read book Science Abstracts written by and published by . This book was released on 1993 with total page 980 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Copyright Licensing written by Janet Shuter and published by Computer Science Press, Incorporated. This book was released on 1988 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book NASA SP written by and published by . This book was released on 1962 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
