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Author: Bernard McGarvey
Publisher: Springer Science & Business Media
ISBN: 0387215565
Category : Mathematics
Languages : en
Pages : 320
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Book Description
Modelling is a tool used by savvy business managers to understand the processes of their business and to estimate the impact of changes. Dynamic Modelling for Business Management applies dynamic modelling to business management, using accessible modelling techniques that are demonstrated starting with fundamental processes and advancing to more complex business models. Discussions of modelling emphasize its practical use for decision making and implementing change for measurable results. Readers will learn about both manufacturing and service-oriented business processes using hands-on lessons. Then will then be able to manipulate additional models to try out their knowledge and address issues specific to their own businesses and interests. Some of the topics covered include workflow management, supply-chain-management, and strategy.
Author: Bernard McGarvey
Publisher: Springer Science & Business Media
ISBN: 0387215565
Category : Mathematics
Languages : en
Pages : 320
Get Book Here
Book Description
Modelling is a tool used by savvy business managers to understand the processes of their business and to estimate the impact of changes. Dynamic Modelling for Business Management applies dynamic modelling to business management, using accessible modelling techniques that are demonstrated starting with fundamental processes and advancing to more complex business models. Discussions of modelling emphasize its practical use for decision making and implementing change for measurable results. Readers will learn about both manufacturing and service-oriented business processes using hands-on lessons. Then will then be able to manipulate additional models to try out their knowledge and address issues specific to their own businesses and interests. Some of the topics covered include workflow management, supply-chain-management, and strategy.
Author: John Sterman
Publisher: McGraw-Hill Education
ISBN: 9780072389159
Category : Business & Economics
Languages : en
Pages : 982
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Book Description
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.
Author: Hazhir Rahmandad
Publisher: MIT Press
ISBN: 0262331438
Category : Business & Economics
Languages : en
Pages : 443
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Book Description
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
Author: Omar A El Sawy
Publisher: Springer Science & Business Media
ISBN: 3642317650
Category : Business & Economics
Languages : en
Pages : 78
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Book Description
This Springer Briefs volume guides the reader in a comprehensive form to design new digital business models. The book provides strategic roadmaps for enterprises in the digital world, and a comprehensive framework to assess new business models. It aligns both, research and a practical perspective through real case study examples. Even extreme scenarios are employed to ensure that innovative approaches are being considered adequately.
Author: Bernd W. Wirtz
Publisher: Springer Nature
ISBN: 3030480178
Category : Business & Economics
Languages : en
Pages : 311
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Book Description
“How are business models purposeful designed and structured? How can the models be implemented professionally and managed successfully and sustainably? In what ways can existing business models be adapted to the constantly changing conditions? In this clearly structured reference work, Bernd W. Wirtz gives an answer to all these issues and provides the reader with helpful guidance. Although, ‘Business Model Management’ is first and foremost a scientific reference book, which comprehensively addresses the theory of business models, with his book Bernd W. Wirtz also turns to practitioners. Not least, the many clearly analyzed case studies of companies in different industries contribute to this practical relevance. My conclusion: ‘Business Model Management’ is an informative and worthwhile read, both for students of business administration as a textbook as well as for experienced strategists and decision makers in the company as a fact-rich, practical compendium.” Matthias Müller, Chief Executive Officer Porsche AG (2010-2015), Chief Executive Officer (2015-2018) Volkswagen AG “In dynamic and complex markets a well thought out business model can be a critical factor for the success of a company. Bernd Wirtz vividly conveys how business models can be employed for strategic competition and success analysis. He structures and explains the major theoretical approaches in the literature and practical solutions in an easy and understandable way. Numerous examples from business practice highlight the importance of business models in the context of strategic management. The book has the potential to become a benchmark on the topic business models in the German-speaking world.” Hermann-Josef Lamberti, Member of the Board Deutsche Bank AG 1999-2012/ Member of the Board of Directors, Airbus Group “The business environment has become increasingly complex. Due to changing conditions, the executive board of a company is confronted with growing challenges and increasing uncertainty. Thus, a holistic understanding of the corporate production and performance systems is becoming more and more important. At this point, Bernd W. Wirtz introduces and presents the concept of the structured discussion of the own business model. Business models present operational service processes in aggregated form. This holistic approach channels the attention of management, supports a sound understanding of relationships and facilitates the adaption of the business to changing conditions. The management of business models is thus an integrated management concept. Through the conceptual presentation of complex issues the author makes a valuable contribution to the current literature. In particular, the referenced case studies from various industries make the book clear and very applicable to practice.” Dr. Lothar Steinebach, Member of the Board, Henkel AG 2007-2012/ Supervisory Board, ThyssenKrupp AG
Author: Matthias Ruth
Publisher: Springer Science & Business Media
ISBN: 1461422086
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
This book explores the dynamic processes in economic systems, concentrating on the extraction and use of the natural resources required to meet economic needs. Sections cover methods for dynamic modeling in economics, microeconomic models of firms, modeling optimal use of both nonrenewable and renewable resources, and chaos in economic models. This book does not require a substantial background in mathematics or computer science.
Author: Edward J. Beltrami
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 302
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Book Description
This new edition of Mathematics for Dynamic covers tools such as linearization, feedback concepts, the use of Liapunov functions, and optimal control. Each chapter includes exercises, many of which expand on the material in the text.
Author: Herbert Dawid
Publisher: Springer
ISBN: 3319391208
Category : Business & Economics
Languages : en
Pages : 518
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Book Description
This volume collects research papers addressing topical issues in economics and management with a particular focus on dynamic models which allow to analyze and foster the decision making of firms in dynamic complex environments. The scope of the contributions ranges from daily operational challenges firms face to strategic choices in dynamic industry environments and the analysis of optimal growth paths. The volume also highlights recent methodological developments in the areas of dynamic optimization, dynamic games and meta-heuristics, which help to improve our understanding of (optimal) decision making in a fast evolving economy.
Author: Jim Duggan
Publisher: Springer
ISBN: 3319340433
Category : Computers
Languages : en
Pages : 188
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Book Description
This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author’s course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.
Author: Biao Huang
Publisher: Springer
ISBN: 1848002335
Category : Technology & Engineering
Languages : en
Pages : 249
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Book Description
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
