SUPPLY CHAIN OPTIMIZATION MODEL IN CONDITIONS OF GLOBAL INSTABILITY
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| Title: | SUPPLY CHAIN OPTIMIZATION MODEL IN CONDITIONS OF GLOBAL INSTABILITY |
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| Authors: | Pupavac, Drago |
| Source: | Proceedings of the 25th International Scientific Conference Business Logistics in Modern Management. :153-168 |
| Publisher Information: | 2025. |
| Publication Year: | 2025 |
| Subject Terms: | mixed-integer programming, optimization, supply chain |
| Description: | Global instability—driven by geopolitical conflicts, pandemics, economic crises, climate change, and disruptions in supply chains—significantly impacts the efficiency and resilience of logistics systems. Traditional supply chain management models often lack the flexibility to adequately respond to sudden shocks and longterm risks. This paper proposes an optimization model that integrates robust and agile supply chain strategies to enhance resilience, adaptability, and cost efficiency under uncertainty. The proposed computer-supported model belongs to the class of mixedinteger 0–1 programming models and consists of three interlinked submodels: production, transportation, and sales. The research results may contribute to more effective crisis management, with a particular focus on adapting strategies for globalized yet vulnerable supply networks. |
| Document Type: | Conference object |
| ISSN: | 1849-5931 |
| Accession Number: | edsair.dris...01492..ee4bd06191f06243a53c3257f1de65bf |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Global instability—driven by geopolitical conflicts, pandemics, economic crises, climate change, and disruptions in supply chains—significantly impacts the efficiency and resilience of logistics systems. Traditional supply chain management models often lack the flexibility to adequately respond to sudden shocks and longterm risks. This paper proposes an optimization model that integrates robust and agile supply chain strategies to enhance resilience, adaptability, and cost efficiency under uncertainty. The proposed computer-supported model belongs to the class of mixedinteger 0–1 programming models and consists of three interlinked submodels: production, transportation, and sales. The research results may contribute to more effective crisis management, with a particular focus on adapting strategies for globalized yet vulnerable supply networks. |
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| ISSN: | 18495931 |