Academic Journal
An intelligent digital twin approach for optimizing multi-channel supply chains in uncertain environments.
| Τίτλος: | An intelligent digital twin approach for optimizing multi-channel supply chains in uncertain environments. |
|---|---|
| Συγγραφείς: | Nozari, Hamed, Yordanova, Zornitsa |
| Πηγή: | Green Technologies & Sustainability; Apr2026, Vol. 4 Issue 2, p1-11, 11p |
| Θεματικοί όροι: | Digital twin, Supply chain management, Supply chains, Mathematical optimization, Metaheuristic algorithms, Dempster-Shafer theory, Uncertainty (Information theory) |
| Περίληψη: | This study develops an innovative framework for the multi-objective optimization of multi-channel supply chains under uncertainty. The framework integrates the D-number model, an extension of Dempster-Shafer Theory (DST) that enables the representation of incomplete and non-exclusive information, and employs a cognitive digital twin (CDT) as a platform for analysis and decision-making. The proposed mathematical model captures the complexity of the supply chain environment by addressing conflicting objectives such as minimizing total cost and delivery delays while enhancing resilience. Small-scale instances are solved using the General Algebraic Modeling System (GAMS), while two meta-heuristic algorithms, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) and the Colonial Competitive Algorithm (CCA), are applied to larger problems. Sensitivity analysis, Pareto front comparisons, and a scalability study demonstrate that the framework remains robust across varying conditions and offers valuable managerial insights. The results support improved decision-making and enhanced supply chain resilience. [ABSTRACT FROM AUTHOR] |
| Copyright of Green Technologies & Sustainability is the property of KeAi Communications Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
καταχωρήστε σχόλιο πρώτοι!