Analytical Methods for Dynamic Modelers
Analytical Methods for Dynamic Modelers

Author: Hazhir Rahmandad

Publisher: MIT Press

Published: 2015-11-27

Total Pages: 443

ISBN-13: 0262331438

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A user-friendly introduction to some of the most useful analytical tools for model building, estimation, and analysis, presenting key methods and examples. Simulation modeling is increasingly integrated into research and policy analysis of complex sociotechnical systems in a variety of domains. Model-based analysis and policy design inform a range of applications in fields from economics to engineering to health care. This book offers a hands-on introduction to key analytical methods for dynamic modeling. Bringing together tools and methodologies from fields as diverse as computational statistics, econometrics, and operations research in a single text, the book can be used for graduate-level courses and as a reference for dynamic modelers who want to expand their methodological toolbox. The focus is on quantitative techniques for use by dynamic modelers during model construction and analysis, and the material presented is accessible to readers with a background in college-level calculus and statistics. Each chapter describes a key method, presenting an introduction that emphasizes the basic intuition behind each method, tutorial style examples, references to key literature, and exercises. The chapter authors are all experts in the tools and methods they present. The book covers estimation of model parameters using quantitative data; understanding the links between model structure and its behavior; and decision support and optimization. An online appendix offers computer code for applications, models, and solutions to exercises. Contributors Wenyi An, Edward G. Anderson Jr., Yaman Barlas, Nishesh Chalise, Robert Eberlein, Hamed Ghoddusi, Winfried Grassmann, Peter S. Hovmand, Mohammad S. Jalali, Nitin Joglekar, David Keith, Juxin Liu, Erling Moxnes, Rogelio Oliva, Nathaniel D. Osgood, Hazhir Rahmandad, Raymond Spiteri, John Sterman, Jeroen Struben, Burcu Tan, Karen Yee, Gönenç Yücel

Handbook of Computational Intelligence in Manufacturing and Production Management
Handbook of Computational Intelligence in Manufacturing and Production Management

Author: Laha, Dipak

Publisher: IGI Global

Published: 2007-11-30

Total Pages: 516

ISBN-13: 1599045842

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During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Calibration of Watershed Models
Calibration of Watershed Models

Author: Qingyun Duan

Publisher: John Wiley & Sons

Published: 2003-01-10

Total Pages: 356

ISBN-13: 087590355X

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Published by the American Geophysical Union as part of the Water Science and Application Series, Volume 6. During the past four decades, computer-based mathematical models of watershed hydrology have been widely used for a variety of applications including hydrologic forecasting, hydrologic design, and water resources management. These models are based on general mathematical descriptions of the watershed processes that transform natural forcing (e.g., rainfall over the landscape) into response (e.g., runoff in the rivers). The user of a watershed hydrology model must specify the model parameters before the model is able to properly simulate the watershed behavior.

Energy Policy Modeling in the 21st Century
Energy Policy Modeling in the 21st Century

Author: Hassan Qudrat-Ullah

Publisher: Springer

Published: 2013-10-04

Total Pages: 277

ISBN-13: 1461486068

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The roles and applications of various modeling approaches, aimed at improving the usefulness of energy policy models in public decision making, are covered by this book. The development, validation, and applications of system dynamics and agent-based models in service of energy policy design and assessment in the 21st century is a key focus. A number of modeling approaches and models for energy policy, with a particular focus on low-carbon economic development of regions and states are covered. Chapters on system dynamics methodology, model-based theory, fuzzy system dynamics frame-work, and optimization modeling approach are presented, along with several chapters on future research opportunities for the energy policy modeling community. The use of model-based analysis and scenarios in energy policy design and assessment has seen phenomenal growth during the past several decades. In recent years, renewed concerns about climate change and energy security have posed unique modeling challenges. By utilizing the validation techniques and procedures which are effectively demonstrated in these contributions, researchers and practitioners in energy systems domain can increase the appeal and acceptance of their policy models.

Supply Chain Coordination under Uncertainty
Supply Chain Coordination under Uncertainty

Author: Tsan-Ming Choi

Publisher: Springer Science & Business Media

Published: 2011-08-14

Total Pages: 651

ISBN-13: 3642192572

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Channel coordination is a core subject of supply chain management. Over the past decade, much research effort has been devoted to exploring the detailed mechanisms for achieving supply chain coordination under uncertainty, generating many fruitful analytical and empirical results. Despite the abundance of research results, there is an absence of a comprehensive reference source that provides state-of-the-art findings on both theoretical and applied research on the subject. In addition, with the advance of knowledge and technologies, many new topics on supply chain coordination under uncertainty have appeared in recent years. This handbook extensively examines supply chain coordination challenges with a focal point on discovering innovative measures that can help tackle the existing and emerging challenges. The book is organized into five parts, which include chapters on innovative analytical models for coordination, channel power and bargaining, technological advancements and applications, empirical analysis, cases studies and review. This handbook provides new empirical and analytical results with precious insights, which will not only help supply chain agents to understand more about the latest measures for supply chain coordination under uncertainty, but also help practitioners and researchers to know how to improve supply chain performance based on innovative methods.

Calibration of Rutting Models for Structural and Mix Design
Calibration of Rutting Models for Structural and Mix Design

Author: Harold L. Von Quintus

Publisher: Transportation Research Board

Published: 2012

Total Pages: 221

ISBN-13: 0309214068

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TRB’s National Cooperative Highway Research Program (NCHRP) Report 719: Calibration of Rutting Models for Structural and Mix Design highlights proposed revisions to the Mechanistic–Empirical Pavement Design Guide (MEPDG) and software to incorporate three alternative rut-depth prediction models that rely on repeated load (triaxial) permanent deformation or constant height testing to provide the requisite input data.

Inequality: Structures, Dynamics and Mechanisms
Inequality: Structures, Dynamics and Mechanisms

Author: Arne L. Kalleberg

Publisher: Elsevier

Published: 2004-12-04

Total Pages: 312

ISBN-13: 0080474233

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Aage Sorensen was an influential intellectual presence who was one of the world's leading authorities on social stratification and the sociology of education. His research sought to understand the structures, dynamics and mechanisms that underlie inequalities in industrial societies by focusing on how individuals' attainments are shaped by characteristics of a society's or organization's opportunity structure, on the one hand, and individuals' education, experience and other human capital resources, on the other. He emphasized inequalities associated with education and schooling, class, and stratification outcomes such as income and occupational status. Within these general foci, he tackled the study of phenomena as diverse as rates of learning in elementary school reading groups and promotion patterns in large industrial corporations. The chapters of this volume illustrate some of the major themes that characterized Aage's research; these topics are also likely to constitute important concerns for future efforts to understand structured social inequality in society. These themes include: the development of explicit dynamic models to account for observed patterns of education, career, and labor market outcomes; aspects of educational inequality such as school effects and learning opportunities; issues related to intragenerational mobility and careers; and the role of rents in generating structural inequality.

Hybrid Solutions for the Modelling of Complex Environmental Systems
Hybrid Solutions for the Modelling of Complex Environmental Systems

Author: Christian E. Vincenot

Publisher: Frontiers Media SA

Published: 2017-01-11

Total Pages: 186

ISBN-13: 2889450554

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Systems studied in environmental science, due to their structure and the heterogeneity of the entities composing them, often exhibit complex dynamics that can only be captured by hybrid modeling approaches. While several concurrent definitions of “hybrid modeling” can be found in the literature, it is defined here broadly as the approach consisting in coupling existing modelling paradigms to achieve a more accurate or efficient representation of systems. The need for hybrid models generally arises from the necessity to overcome the limitation of a single modeling technique in terms of structural flexibility, capabilities, or computational efficiency. This book brings together experts in the field of hybrid modelling to demonstrate how this approach can address the challenge of representing the complexity of natural systems. Chapters cover applied examples as well as modeling methodology.

Process Modelling and Model Analysis
Process Modelling and Model Analysis

Author: Ian T. Cameron

Publisher: Elsevier

Published: 2001-05-23

Total Pages: 561

ISBN-13: 0080514928

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Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation - Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling - Illustrates the notions, tools, and techniques of process modeling with examples and advances applications