Solution of the Problem Supply Chain Management in Temporal Dependence

被引：4

作者：

Savelyeva, Marina ^{[1
]}

Belyakov, Stanislav ^{[2
]}

机构：

[1] Southern Fed Univ, Dept Automated Res Syst, Taganrog, Russia

[2] Southern Fed Univ, Dept Appl Informat Sci, Taganrog, Russia

来源：

INTELLIGENT SYSTEMS'2014, VOL 2: TOOLS, ARCHITECTURES, SYSTEMS, APPLICATIONS | 2015年 / 323卷

关键词：

Fuzzy temporal graph; shortest path; fuzzy numbers; routing; Dijkstra's algorithm; logistical problem; graph theory;

D O I：

10.1007/978-3-319-11310-4_42

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The article presents the problem of supply chain management. One of the main issues in solving such problems is routing. An algorithm to find the shortest path in the temporal dependence and fuzzy-defined parameters of time and distance. Solution is based on the apparatus of graph theory, namely fuzzy temporal graph. This algorithm is a modification of Dijkstra's algorithm. An illustration of an example of solving the problem of finding an optimal route in fuzzy conditions, as such representation is closest to reality.

引用

页码：489 / 496

页数：8

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