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Multi-criteria optimization in supply chains

Многокритериальная оптимизация в цепях поставок
Authors: Gennadiy Brodeckiy; Denis Gusev; Viktoriya Gerami; Ol'ga Sviridova; Ivan Shidlovskiy;

Multi-criteria optimization in supply chains

Abstract

The textbook contains current types of problems of choosing the best solutions for many criteria used in modeling supply chains. To solve the problems, methods and models are presented, including traditional and special approaches to multi-criteria optimization of solutions. Special attention is paid to additional opportunities for improving such approaches to improve decision optimization procedures in supply chain modeling, and the possibilities of alternative filtering procedures are considered. Special procedures are presented to eliminate the phenomena of inadequate choice and effectively adapt the best choice to the preferences of the decision-maker. Each section offers an extensive list of questions, tests and assignments on the subject presented. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students and postgraduates of economic specialties. It will also be useful for a wide range of managers and entrepreneurs who want to organize their business more effectively.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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