Data-Driven Optimization Model for Selecting Control System for Automated Guided Vehicle
In the era of Industry 4.0, the deployment of Automated Guided Vehicles (AGVs) is critical for modernizing warehouse systems, yet the selection of an appropriate control system remains a complex challenge due to technical and economic trade-offs. This study addresses the research focus of optimizing...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2026-01-01
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| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11478259/ |
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