This book contributes to the scientific field of optimal control theory applied to dynamic models of the firm. It discusses optimal investment, financing and production policies of the firm, that have to deal with a variety of aspects, such as financial constraints, start-up costs, business cycles, increasing returns to scale, production life cycles and experience curves. In contrast to many other publications on this subject, here, in combination with an analytical approach, the dynamic optimization problems are solved numerically with the aid of a powerful computer and specific programs for optimizing non-linear functions of a finite number of variables and non-linear constraints.

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.

This textbook addresses the core issues facing economists concerning price determination in commodity markets, especially food and agricultural commodities. This book hones in on the conceptual basis of the various relationships, with special emphasis on market interrelationships, both horizontally and vertically. This book covers key concepts such as consumer demand theory; quality, heterogeneous goods, and cross section demand; derived demand, marketing margins, and relationship between output and raw material prices; retail-to-farm demand linkages, imperfect competition, and short-run price determination; dynamic consumer demand; and dynamic models of the firm. What makes this textbook of particular use to students is its focus on bridging the gap between theory and empirical analysis. Going from theory to empirics requires that we have data—time series or cross section—that match the theoretical constructs. Often the data match is not perfect, either by definition or how the data are computed. In addition to problems of matching data with theoretical constructs, students and researchers need to know how to specify, estimate, and interpret results within the context of imperfect and often incomplete data. This textbook uses several data sets to illustrate how one might address problems in real-world settings. Furthermore, with exercises at the end of each chapter, students are able to test themselves on their ability to bring theory to life.

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.

This volume is the final result of the research project ''Micro growth model", that was sponsored by the Central Research Pool of Tilburg University, the Netherlands. Apart from the University Council for this important financial support, I owe Prof. Dr. Fiet Verheyen very much for the way in which he introduced me into scientific circles and for the way in which he supervised and stimulated my work. Dr. Jan de Jong and Peter Janssen C. E. , Technical University of Eindhoven, piloted me safely through the mathe matics of optimal control theory and removed some technical barriers. Their help was indispensable for the success of this project. I would also like to mention the kind support of Prof. Dr. Jack Kleijnen, who gave me many valuable hints on how to present the results of this project. In this way I was able to contact with several resear chers inside and outside the Netherlands. Most grateful I am to Prof. Dr. Charles Tapiero, Jerusalem University, who commented on important parts of this book in a constructive way and who suggested many subjects for further research. Also Mr. Geert Jan vsn Schijndel, Tilburg University, should be mentioned here, because he closely read the work and I appreciated his remarks and corrections very much. Many collea gues have contributed to the results of this research project in a direct or indirect way. Especially I should like to mention my contacts with Prof. Dr.

This book covers a large spectrum of cutting-edge game theory applications in management science in which Professor Georges Zaccour has made significant contributions. The book consists of 21 chapters and highlights the latest treatments of game theory in various areas, including marketing, supply chains, energy and environmental management, and cyber defense. With this book, former Ph.D. students and successful research collaborators of Professor Zaccour wish to honor his many scientific achievements.

The goals of this monograph are to explain the models and techniques and make it more accessible, introduce the main strands of this literature, and explain how dynamic models can be taken to the data and estimated, providing a guide to 3 methodologies: generalized method of moments, simulated method of moments, and maximum simulated likelihood.