| Issue |
E3S Web of Conf.
Volume 381, 2023
International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2022)
|
|
|---|---|---|
| Article Number | 01089 | |
| Number of page(s) | 8 | |
| Section | Agriculture, River Ecosystems and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202338101089 | |
| Published online | 14 April 2023 | |
Engineering of logistics flows
Don State Technical University, st. Socialist, 162, Rostov-on-Don, 344022, Russia
* Corresponding author: oafil@yandex.ru
The article is devoted to the engineering of logistics flows. Logistics flow engineering aims to apply methods of fuzzy modeling of logistics processes according to indicators-criteria of fuzzy relationships, search for the most optimal counterparties that will allow achieving the best level of supply quality, taking into account all possible potential uncertainties. The author considers the algorithm of fuzzy modeling processes, which will improve the quality of development and the level of applied solutions to the problem of choosing a counterparty. It is advisable to use the fuzzy modeling algorithm in logistics flow engineering to obtain operational information, but taking into account the aggregation of input information data on the criteria of the fuzzy relationship system. The considered algorithm makes it possible to represent the relationships of criteria of various attributes, on the basis of which decisions can be made on aggregated indicators. This algorithm allows you to integrate the material and financial properties of logistics flows to increase the level of decisions based on the data system of information flows.
Key words: logistics / flows / system / model / resources / quality / sets / criteria
© The Authors, published by EDP Sciences, 2023
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