
Production chains configuration based on a systematic approach
Author(s) -
Natalia Melamed,
В. А. Соколова,
D. A. Iljushenko,
Sergey Voinash,
С. В. Алексеева,
A. S. Gogolevskii,
S. A. Trepkova
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1679/4/042074
Subject(s) - pairwise comparison , production (economics) , computer science , extension (predicate logic) , analytic hierarchy process , multiple criteria decision analysis , operations research , mathematical optimization , mathematics , artificial intelligence , economics , macroeconomics , programming language
The formalization of production tasks has been carried out, including the tasks of selecting individual links in the production chain (suppliers, carriers, warehouses) and choosing production chains based on the principles of a systematic approach. Hierarchical structures are constructed (basic criteria and alternatives are defined) for two classes of production problems of choice - the choice of a link in a production system and the choice of a configuration option for a production chain (network).As calculation methods, it is proposed to use methods for processing inaccurate pairwise comparisons to solve multi-criteria decision-making problems. An extension of the DS/AHP method is proposed in the paper. A new method for analyzing hierarchies to solve the problem of multi-criteria decision making using the Dempster-Scheifer theory differs from existing methods in that pairwise comparisons of elements, both at the level of alternatives and at the level of criteria, are replaced by the choice of the most preferred groups of elements. It takes into account the fact that the multi-criteria decision problem might have several levels of criteria. Moreover, it is assumed that expert judgments concerning the criteria are imprecise and incomplete. A numerical example explains in detail and illustrates the proposed approach.