20.500.12556/DKUM-97317 A multi-objective optimal decision model for a green closed-loop supply chain under uncertainty: A real industrial case study Green closed-loop supply chain management is an important topic for business operations today because of increasing resource scarcity and environmental issues. Companies not only have to meet environmental regulations, but also must ensure high quality supply chain operation as a means to secure competitive advantages and increase profits. This study proposes a multi-objective mixed integer programming model for an integrated green closed-loop supply chain network designed to maximize profit, amicable production level (environmentally friendly materials and clean technology usage), and quality level. A scenario-based robust optimization method is used to deal with uncertain parameters such as the demand of new products, the return rates of returned products and the sale prices of remanufactured products. The proposed model is applied to a real industry case example of a manufacturing company to illustrate the applicability of the proposed model. The result shows a robust optimal resource allocation solution that considers multiple scenarios. This study can be a reference for closed-loop supply chain related academic research and also can be used to guide the development of a green closed-loop supply chain model for better decision making. Green closed-loop supply chain sustainability modelling robust optimization mixed integer programming model supply chain management uncertainty LP-metric method zelena dobavna veriga z zaprto zanko trajnost modeliranje robustna optimizacija model mešanega celoštevilskega programiranja upravljanje dobavnih verig negotovost LP-metrična metoda true false true Univerza v Mariboru Angleški jezik Slovenski jezik https://apem-journal.org/Archives/2021/Abstract-APEM16-2_253-261.html Članek v reviji 2026-02-27 14:05:02 2026-02-27 14:05:03 2026-03-11 09:10:55 0000-00-00 00:00:00 2021 0 0 str. 161-172 no. 2 Vol. 16 June 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2021-06-05 2021-06-24 2021-06-25 006:658.7 269651459 10.14743/apem2021.2.391 1854-6250 APEM16-2_161-172.pdf APEM16-2_161-172.pdf 1 26D3DA63AAE56622B974E9231F8E4C1C d0f49cf1c44f5c98c85297e884a81441a2c0aa535d11cbbfbca786ea93c660e7 c9dec16e-13dd-11f1-bb89-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=204024 https://apem-journal.org/Archives/2021/Abstract-APEM16-2_161-172.html 0 d20c4ce9-13dd-11f1-bb89-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=204025 Fakulteta za strojništvo Advances in production engineering & management 0 0 0