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Location Theory : A Unified Approach
Although modern location theory is now more than 90 years old, the focus of researchers in this area has been mainly problem oriented. However, a common theory, which keeps the essential characteristics of classical location models, is still missing. This monograph addresses this issue. A flexible location problem called the Ordered Median Problem (OMP) is introduced. For all three main subareas of location theory (continuous, network and discrete location) structural properties of the OMP are presented and solution approaches provided. Numerous illustrations and examples help the reader to become familiar with this new location model.
Liquidity, markets and trading in action : An interdisciplinary perspective
This book addresses four standard business school subjects: microeconomics, macroeconomics, finance and information systems as they relate to trading, liquidity, and market structure. It provides a detailed examination of the impact of trading costs and other impediments of trading that the authors call “frictions”. It also presents an interactive simulation model of equity market trading, TraderEx, that enables students to implement trading decisions in different market scenarios and structures. Addressing these topics shines a bright light on how a real-world financial market operates, and the simulation provides students with an experiential learning opportunity that is informative and fun.
Linear Programming and its Applications
This book presents a unified treatment of linear programming. Without sacrificing mathematical rigor, the main emphasis of the book is on models and applications. The most important classes of problems are surveyed and presented by means of mathematical formulations, followed by solution methods and a discussion of a variety of "what-if" scenarios. Non-simplex based solution methods and newer developments such as interior point methods are covered along with a variety of approaches that incorporate multiple objectives in the model.
Life Cycle Investing and Occupational Old-Age Provision in Switzerland
Florian Zainhofer uses the theory of life cycle investing, i.e. how we should optimally choose our savings rate and risky asset share throughout our lives, as a framework to study the implications of a potential BVG individualization. Following an introduction on the Swiss system of old-age provision, the author reviews recent life cycle models of portfolio choice and covers their numerical solution algorithms in depth. He presents an empirical analysis of Swiss workers’ earnings dynamics since these are important determinants of life cycle investment behavior. To further investigate the implications of a flexible contribution rate and risky asset share in the mandatory BVG, the author proposes a model adapted to Swiss conditions and parameterized with the estimated earnings dynamics.
Learning in Economic Systems with Expectations Feedback
Recently economists have more and more focussed on scenarios in which agents' views of the world may be erroneous. These notes introduce the concept of perfect forecasting rules which provide best least-squares predictions along the evolution of an economic system.
Large-scale group decision-making : State-to-the-art clustering and consensus paths
The proposed consensus models focus on the treatment of non-cooperative behaviors in the consensus-reaching process and explores the influence of trust loss on the consensus-reaching process.The logic behind is as follows: firstly, a clustering algorithm is adopted to reduce the dimension of decision-makers, and then, based on the clusters’ opinions obtained, a consensus-reaching process is carried out to obtain a decision result acceptable to the majority of decision-makers.
Kanban-Controlled Manufacturing Systems
Kanban control systems bear a great potential to significantly improve operations. A company may reap the full benefits of kanban control only after determining an optimal or near-optimal system configuration. To do that, methods are needed to evaluate the performance and operating costs of individual system configurations. We propose an innovative construction-kit approach that enables us to build stochastic analytical models of a large class of single- and multi-product kanban systems. The presented construction-kit approach may be extended and augmented in various directions
Just-in-Time Scheduling : Models and Algorithms for Computer and Manufacturing Systems
As the field of Supply Chain Management has matured, maintaining the precise flow of goods to maintain schedules (hence, minimizing inventories) on a just-in-time basis still remains as a major challenge. This problem or challenge has resulted in a fair amount of quantitative research in the area, producing an array of models and algorithms to help ensure the precise flow of components and final products into inventories to meet just-in-time requirements.The scheduling models and algorithms presented and illustrated in the book will be done so in the context of extensive use of computer systems in a "real time context.
Jacob Mincer : A Pioneer of Modern Labor Economics
This volume contains essays by or about Jacob Mincer who, along with Gary Becker, is a founding father of modern empirical labor economics. His methodology analyzes the economics of the working world, and his human capital model is a fundamental tool in empirical economics.
Computational Aspects of General Equilibrium Theory : Refutable Theories of Value
This monograph presents a general equilibrium methodology for microeconomic policy analysis. It is intended to serve as an alternative to the now classical, axiomatic general equilibrium theory as exposited in Debreu`s Theory of Value (1959) or Arrow and Hahn`s General Competitive Analysis (1971). The methodology proposed in this monograph does not presume the existence of market equilibrium, accepts the inherent indeterminancy of nonparametric general equlibrium models, and offers effective algorithms for computing counterfactual equilibria in these models. It consists of several essays written over the last decade, some with colleagues or former graduate students, and an appendix by Charles Steinhorn on the elements of O-minimal structures, the mathematical framework for our analysis.
Component-Based Digital Movie Production : Reference Model of an Integrated Production System
The ongoing digitization process affects all areas of the media industry. Within the scientific discussion, movie production is little observed although it currently faces crucial structural developments. The change to digital production processes allows new ways of cooperation and coordination in the project networks. Marcus Pankow examines the specifics of the movie production industry and its value-creating processes, reflecting the digitization and its impact on the information systems strategy. An empirical case study analysis forms the basis for the development of a reference model for a company-wide application system to support the entire movie production process. Following the concept of a Service Oriented Architecture (SOA), he encapsulates established applications in services and integrates them on one platform.
Complexity management : Optimizing product architecture of Industrial products
This book presents a complexity management model that is based on the reasoning that product architecture determines to a considerable extent how external complexity is translated into physical products. The model demonstrates a procedure to optimize a product’s architecture and is applied to several industrial products.
Complexity hints for economic policy
This volume extends the complexity approach to economics. It provides some alternative pattern generators, which can supplement existing approaches by providing an alternative way of finding patterns than be obtained by the traditional scientific approach.
Complexity and Artificial Markets
In recent years, agent-based simulation has become a widely accepted tool when dealing with complexity in economics and other social sciences. The contributions presented in this book apply agent-based methods to derive results from complex models related to market mechanisms, evolution, decision making, and information economics. In addition, the applicability of agent-based methods to complex problems in economics is discussed from a methodological perspective. The papers presented in this collection combine approaches from economics, finance, computer science, natural sciences, philosophy, and cognitive sciences.
Complex Scheduling
This book deals with such complex scheduling problems and methods to solve them. It consists of three parts: The ?rst part (Chapters 1 and 2) contains a description of basic scheduling models with applications and an introduction into discrete optimization (covering complexity, shortest path algorithms, linear programming, network ?ow algorithms and general optimization methods). In the second part (Chapter 3) resource-constrained project scheduling problems are considered. Especially, methods like constraint propagation, branch-a- bound algorithms and heuristic procedures are described. Furthermore, lower bounds and general objective functions are discussed.
Competitiveness in the Tourism Sector : A Comprehensive Approach from Economic and Management Points
International tourism is expected to be a major vehicle of economic development in industrializing countries in the 21st century, especially for Asia. To generate long-term growth, countries with tourism-based economies must develop strategies for employing their comparative advantages to achieve competitive advantages. However, competitiveness in the tourist industry is multi-dimensional and complex. This study evaluates the competitiveness of the Taiwanese tourism sector by a multi-dimensional framework. The theoretical model proposes that the competitiveness of tourist destinations should be composed of Ricardian comparative advantages (like the conditions of natural endowments and the degree of technological change); Porterian competitive advantages; tourism management, i.e., providing high quality education and job training, public goods, support services and reduced transaction costs to enhance comparative and competitive advantages; and environmental conditions.
Competition, innovation, and antitrust : A theory of market leaders and Its policy implications
Competition, Innovation, and Antitrust develops a theory of market leadership in the presence of endogenous entry of firms and applies it to models of competition in the market and for the market.
Competence of Top Management Teams and Success of New Technology-Based Firms : A Theoretical and Empirical Analysis Concerning Competencies of Entrepreneurial Teams and the Development of Their Ventures
In his book, Jan Brinckmann develops a comprehensive competence concept for new technology-based firms. It is grounded in competence-related literature combining insights from entrepreneurship and management research. The competence concept comprises three domains: general entrepreneurial competencies, social competencies, and functional competencies in technology, marketing, and financial management. A measurement model is developed to specify the contents of each sub-domain and to facilitate self-assessment of these competencies. In an empirical study, 212 executives of German NTBFs assessed their team’s competencies. This data is analyzed using structural equation modelling to identify the most relevant competencies for new venture success.
CGE models and capital income tax reforms : The case of a dual income tax for Germany
The book suggests a novel way how the effects of tax reforms especially in the field of capital income taxation can be measured by means of dynamic computable general equilibrium (CGE) models.
Cellular Genetic Algorithms
CELLULAR GENETIC ALGORITHMS defines a new class of optimization algorithms based on the concepts of structured populations and Genetic Algorithms (GAs). The authors explain and demonstrate the validity of these cellular genetic algorithms throughout the book. This class of genetic algorithms is shown to produce impressive results on a whole range of domains, including complex problems that are epistatic, multi-modal, deceptive, discrete, continuous, multi-objective, and random in nature. The focus of this book is twofold. On the one hand, the authors present new algorithmic models and extensions to the basic class of Cellular GAs in order to tackle complex problems more efficiently. On the other hand, practical real world tasks are successfully faced by applying Cellular GA methodologies to produce workable solutions of real-world applications.
