Феномен неадекватного выбора при формировании портфеля клиентов логистического провайдера в условиях риска
In the article author consider approach to client’s base generation on decision tree method. Author stresses readers’ attention on phenomena of inadequate choice influencing on best alternative selection.
The article is based on the introductory part of the collection on “Material Culture and Technology in Everyday Life: Ethnographic Approaches” (2009). The author presents a brief review of concepts that have been lately employed in research on material or technological culture. He attempts to show that different disciplines do in fact use adjacent notions and concepts in thinking about materiality, and tries to delineate ways of bringing the different research traditions to a unified platform that could serve as a theoretical foundation for the complex materialistic study of technological culture.
The issues of choice in traditional psychology exists with the topics of planning and decision making. on influencing of existential psychology the issue of choice becomes connected with personal responsibility and taking on uncertainty, which are closely connected to the personal potential of the subject.
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.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.