ISSN (print) 1995-2732
ISSN (online) 2412-9003


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DOI: 10.18503/1995-2732-2023-21-3-180-196


Problem Statement (Relevance). It has been established that there is no generally accepted methodology for assessing the sustainability of supply chains. A variety of criteria, methods, and models for assessing the sustainability based on the influence of various factors in the supply chain operation environment, are used depending on the type and the structure of supply chains. Objectives. The research is aimed at providing a rationale for a universal system of economic, social, and environmental factors for the sustainability of supply chains and development of a relevant assessment methodology. Methods Applied. A literature review, a system analysis, a multicriteria analysis, gray relational analysis, and a peer review method. Originality. A universal system of supply chain sustainability factors supported by using an original methodology for assessing the value of factors based on gray relational analysis. Result. The paper describes the ranking of supply chain sustainability factors in a descending order of their impact on the achievement of sustainable development goals. The authors present an approach to the choice of methods and tools of green logistics based on the ranks of sustainability factors. Practical Relevance. The developed methodology is designed to assess the sustainability of supply chains and make management decisions to achieve the economic, social, and environmental goals of their development and functioning.


supply chains, sustainability, sustainable supply chains, multicriteria analysis, gray relational analysis, factors, green logistics

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Osintsev N.A., Rakhmangulov A.N. Supply Chain Sustainability Assessment Based on Gray Relational Analysis. Vestnik Magnitogorskogo Gosudarstvennogo Tekhnicheskogo Universiteta im. G.I. Nosova [Vestnik of Nosov Magnitogorsk State Technical University]. 2023, vol. 21, no. 3, pp. 180-196.

Nikita A. Osintsev – PhD (Eng.), Associate Professor, Department of Logistics and Transportation Systems Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0003-1168-6725

Aleksandr N. Rakhmangulov – DrSc (Eng.), Professor, Department of Logistics and Transportation Systems Management, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. Email: This email address is being protected from spambots. You need JavaScript enabled to view it.. ORCID 0000-0001-7862-4743

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