Optimization models of limited resources in logistics. Monograph
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The proposed monograph discusses optimization models of limited resources in logical systems. Such systems are primarily possessed by industrial enterprises, transport companies and trading organizations, including those implementing wholesale activities.
As a rule, the effectiveness of the functioning of the listed objects largely depends on how rationally the limited resources of this type of limited resources as: the production apparatus of the enterprise, labor resources, vehicles, etc. In this paper, various approaches of managing such resources as determinated models, and for a situation, are considered when a number of models parameters are not specified for sure, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the onset of various kinds of risky events both in terms of solution structure and functionality.
Senior courses, graduate students and master students studying in the specialty Management and Logistics, as well as specialists in the field of modeling logistics systems
As a rule, the effectiveness of the functioning of the listed objects largely depends on how rationally the limited resources of this type of limited resources as: the production apparatus of the enterprise, labor resources, vehicles, etc. In this paper, various approaches of managing such resources as determinated models, and for a situation, are considered when a number of models parameters are not specified for sure, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the onset of various kinds of risky events both in terms of solution structure and functionality.
Senior courses, graduate students and master students studying in the specialty Management and Logistics, as well as specialists in the field of modeling logistics systems
Author:
Author:Mishchenko Alexander Vladimirovich
Cover:
Cover:Soft
Category:
- Category:Business & Money
- Category:Engineering & Transportation
Series:
Series: Scientific Thought
ISBN:
ISBN:978-5-16-016130-3
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