Системный подход при подготовке и принятии решений для управления АТП
The paper describes the principles of economic efficiency of the ATP with a decision support system. The proposed approach allows the analysis and planning of the production program for the production of motor transport.
Information systems have been developed in parallel with computer science, although information systems have roots in different disciplines including mathematics, engineering, and cybernetics. Research in information systems is by nature very interdisciplinary. As it is evidenced by the chapters in this book, dynamics of information systems has several diverse applications. The book presents the state-of-the-art work on theory and practice relevant to the dynamics of information systems. First, the book covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers. Also the book presents important problems arising in service-oriented systems, such as dynamic composition, analysis of modern service-oriented information systems, and estimation of customer service times on a rail network from GPS data. After that, the book addresses the complexity of the problems arising in stochastic and distributed systems. In addition, the book discusses modulating communication for improving multi-agent learning convergence. Network issues, in particular minimum risk maximum clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning are described in subsequent chapters. We thank all the authors and anonymous referees for their advice and expertise in providing valuable contributions, which improved the quality of this book. Furthermore, we want to thank Springer for helping us to produce this book.
In the article author propose approach to client's base generation based on decision tree method. This approach allows taking into account requirements to optimization of customers' selection based on several criteria. Method is illustrated on Logistics Company.
For the first time the new approach to effective modification of traditional criteria of multi-criteria optimization in supply chain management and logistics systems is offered. The approach uses processes of analytical hierarchy. It is illustrated as expansion of toolkit of decision-making accessible to the manager, and opening possibilities of elimination of undesirable phenomena of an inadequate choice in a format of multi-criteria problems in logistics.
The authors propose new approach to self-organization of complex distributed systems in logistics. That approach is based on combination of multi-agent paradigm with constraint satisfaction techniques. The proposed solution expresses major features of Swarm Intelligence approach and replaces traditional stochastic adaptation of the swarm of the autonomous agents by constraint-driven adaptation.