Sustainable supply chains modeling

Pupavac, Drago

doi:10.17270/J.LOG.2022.766

Artykuł - szczegóły

Tytuł artykułu

Sustainable supply chains modeling

Autorzy

Pupavac Drago

Treść / Zawartość

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DOI

10.17270/J.LOG.2022.766

Warianty tytułu

Języki publikacji

Abstrakty

Background: Although existing studies have highlighted the importance of modeling sustainable supply chains, there is a scarcity of research that integrates environmental, social, and economic dimensions simultaneously. Accordingly, this paper aims to explore the possibilities of creating and modeling sustainable supply chains in the trefoil of economic, environmental, and social sustainability. Methods: For creating and modeling optimal sustainable supply chains, we used the mathematical method of dynamic programming. The method of dynamic programming was chosen for the reason that dynamic programming represents a set of special mathematical methods that serve to optimize multi-stage or multi-phase processes. Results: Minimum costs of the supply chain in the given example are achieved when the problem is solved from an economic perspective or from the perspective of total costs. Solving the problem from an ecological or social perspective increases the costs of the supply chain compared to optimal solutions, by 16.05% if the problem is solved from an ecological perspective and by 14.31% if the problem is solved from a social perspective. Conclusions: Contemporary sustainable supply chains are forced to include in their logistics network only those participants who can satisfy the principles of integral sustainability, i.e. respecting the economic, ecological and social dimensions.

Słowa kluczowe

supply chains sustainable development economic sustainability ecological sustainability social sustainability dynamic programming

łańcuchy dostaw zrównoważony rozwój zrównoważony rozwój ekonomiczny zrównoważony rozwój ekologiczny zrównoważony rozwój społeczny programowanie dynamiczne

Wydawca

Wyższa Szkoła Logistyki

Czasopismo

LogForum

Rocznik

2022

Tom

Vol. 18, no. 4

Strony

471--480

Opis fizyczny

Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Pupavac Drago

drago.pupavac@veleri.hr

Transport Department, Polytechnic of Rijeka, Rijeka, Croatia

https://orcid.org/0000-0002-2201-0598

Bibliografia

1. Abdel-Basset, M., Mohamed, R., Sallam, K., Elhoseny, M., 2020, A novel decision-making model for sustainable supply chain finance under uncertainty environment, Journal of Cleaner Production, 269, 122324, ISSN 959-6526, https://doi.org/10.1016/j.jclepro.2020.122324.
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5. Ghadimi, P., Wang, C., Lim, M., 2019, Sustainable supply chain modeling and analysis: Past debate, present problems and future challenges, Resources, Conservation and Recycling, 40, 72-84, ISSN 0921-3449, https://doi.org/10.1016/j.resconrec.2018.09.005.
6. Ghadimi, P., Dargi, A., and Heavey, C., 2017, Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry, Computers & Industrial Engineering, 105, 12-27, ISSN 0360-8352, https://doi.org/10.1016/j.cie.2017.01.002.
7. Govindan, K., Jafarian, A., Nourbakhsh, V., 2015. Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic, Comput. Operat. Res., 62 (C), 112 -130. https://doi.org/10.1016/j.cor.2014.12.014
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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