Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 10 | |
Section | Green Logistics and Sustainable Supply Chain Management | |
DOI | https://doi.org/10.1051/e3sconf/202340201015 | |
Published online | 19 July 2023 |
Methodology for analytical supply chain management in industrial production
Moscow Aviation Institute (National Research University), 4, Volokolamskoe Shosse, Moscow, 125993, Russian Federation
* Corresponding author: gxtl@mail.ru
The main purpose of this research is to develop scientific and methodological support for the supplier evaluation process to improve the supply chain management mechanisms for the manufacturing of components. The results of the research can be applied in any light and heavy industry, from medical equipment to aerospace applications. The problem is solved in a few simple steps which are described in the paper, namely: conducting an analysis of procurement legislation for current limitations and assumptions on nonfinancial requirements for suppliers, performing a parametric analysis of global supplier assessment practises, and developing an analytical method for evaluating suppliers with justification of distinguishing characteristics. In conclusion, some practical recommendations can be made.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.