Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.
Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, and dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning and leadership situation. These general ideas are illustrated with numerous examples and real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration such as hierarchical production planning, the problems of design and implementation, modern concepts in managerial accounting, and supply chain management.
The book is devoted to structural issues, algorithms, and applications of resource allocation problems in project management. Special emphasis is given to a unifying framework within which a large variety of project scheduling problems can be treated. Those problems involve general temporal constraints among project activities, different types of scarce resources, and a broad class of regular and nonregular objective functions ranging from time-based and financial to resource levelling functions. The diversity of the models proposed allows for covering many features arising in scheduling applications beyond the field of project management such as short-term production planning in the manufacturing or process industries.
The Digital Pill reflects on apps and digital projects launched by pharmaceutical companies in recent years, as well as the first accreditations for digital pills already issued by recognised regulators. The Digital Pill is essential reading for anyone working in, engaged with or interested in understanding the e-health community.
Identifying and customizing suitable control strategies is a challenging task, especially when production systems have to cope with variable demands, forecast error, and unstable processes. The focus of this book lies on helping companies with complex and discrete production systems to tailor a production control strategy to their needs. Thereby, the mutual merits of “push” and “pull” systems are taken into account, leading to hybrid strategies. Consequently, the book addresses practitioners who are interested in looking behind the scenes and into the physics of production control. A real-life case study demonstrates the practical applicability of the presented framework.
European environmental and energy policies are currently challenged by two mutually dependent issues: CO2 abatement and the completion of the Internal Market for energy. Both will lead to substantial structural changes in the energy supply industry and in the wider economy. The purpose of this book is to analyze the interaction between CO2 abatement, economic structural change and the completion of the European Internal Market. This involves not only significant general equilibrium effects, but also technological changes, especially in the electricity supply sector. The simulation results indicate that the effects of measures to reduce European CO2 emissions depend considerably on the structure of the electricity supply system.
In the past, intensive interest in Soviet research and development has been sporadic both in the West and in the USSR. The end of the 1980s coincided with the demise of the Soviet model of economic development. As a result, a surge of attention has been given to t~e factors driving the motor of Soviet growth and development, as well as R&D. The opening, first, of the Soviet and, subsequently, of the Russian economy, finally exposed it to global stan to scientific dards. The long period of international isolation with respect and technological exchanges made it difficult for scholars and policy makers at home and abroad to measure the status of Soviet advances. Consequently, some overrated the levels, while others underestimated them. Now it comes to light that, although the Soviets put the first satellite in space (Sputnik) and developed their own hydrogen bomb, these were more the exceptions of innovation from research results rather than the rule. Therefore, as the management of the entire economy increasingly malfunctioned, so did the management of R&D in contributing to economic growth and development. There is no denying the incredible investment of the former Soviet state in domestic science and research. The R&D community was one of the largest, if not the largest, in the world during the second half of the twentieth century. Now, Russia has inherited not only this enormous resource, but also the inadequate organization, management, and structure.
A survey of the state of the art of deterministic resource-constrained project scheduling with time windows. General temporal constraints and several different types of limited resources are considered. A large variety of time-based, financial, and resource-based objectives - important in practice - are studied. A thorough structural analysis of the feasible region of project scheduling problems and a classification and detailed investigation of objective functions are performed, which can be exploited for developing efficient exact and heuristic solution methods. New interesting applications of project scheduling to production and operations management as well as investment projects are discussed in the second edition.
This book studies a large economy. It deals with a static microeconomic model of an exchange market with pure competition. Instead of the sigma-additive theory, the finitely additive theory, the general Jordan content and the general Riemann integration are used respectively. By a specialized probability model, the author obtains a precise interpretation strictly based on microeconomic methods of measurement. In particular, the meaning of an agent and of a coalition is explained and the Core-Walras equivalence is deduced. The author elaborates an elementary representation by broken continuous functions and the classical Riemann integral. A conjecture concerning the reduction of the dynamical case onto generalized differential equations is added.
Distributed decision making (DDM) has become of increasing importance in quantitative decision analysis. In applications like supply chain management, service operations, or managerial accounting, DDM has led to a paradigm shift. The book provides a unified approach to such seemingly diverse fields as multi-level stochastic programming, hierarchical production planning, principal agent theory, negotiations or contract theory. Different settings like multi-level one-person decision problems, multi-person antagonistic planning, and leadership situations are covered. Numerous examples and real-life planning cases illustrate the concepts. The new edition has been considerably expanded by additional chapters on supply chain management, service operations and multi-agent systems.
Distributed decision making is described in this book from a hierarchical perspective. A unified approach allows to treat such seemingly diverse fields as multi-level decision making, hierarchical production planning, principal agent theory, hierarchical negotiations, and dynamic games within the framework of a general pair of functional equations. In doing so, the book covers the range from a multi-level one-person decision problem to a multi-person antagonistic planning and leadership situation. These general ideas are illustrated with numerous examples and real-life planning situations. In addition, the treatise provides a theoretical foundation for important problem areas in business administration such as hierarchical production planning, the problems of design and implementation, modern concepts in managerial accounting, and supply chain management.
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