Open AccessDESCRIPTION OF A NOVEL SUPPLIER SELECTION METHOD FOR COMPANIES MANUFACTURING FOOD SUPPLEMENTS
Author(s) -
Szabolcs Szentesi,
Béla Illés,
Ákos Cservenák,
Róbert Skapinyecz,
Péter Tamás
Publication year - 2021
Publication title -
acta logistica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.205
H-Index - 3
ISSN - 1339-5629
DOI - 10.22306/al.v8i3.253
Subject(s) - selection (genetic algorithm) , supply chain , supply chain management , field (mathematics) , computer science , key (lock) , process (computing) , process management , supplier relationship management , supplier evaluation , business , operations research , management science , risk analysis (engineering) , operations management , marketing , engineering , artificial intelligence , mathematics , computer security , pure mathematics , operating system
The publication presents a novel supplier selection method that can be of significant help in the optimal design of the supply chains of so-called commissioned food supplement companies. As a prelude to this, the article also explores the literature on existing supplier selection methods using the method of systematic literature search. A key characteristic of the newly developed method is that it incorporates such aspects into the supplier selection process as the environmental impact of logistics processes or the modernity of the supplier’s logistics system, both becoming highly important criteria in recent years. The method also supports one and multi actor decision making following state of the art principles in modern data driven supply chain management. As a result, it can be stated that the newly introduced method provides a state of the art approach to supplier selection, while it also takes into account all the traditional aspects related to the field.