Fourth Party Logistics Routing Optimization Problem Based on Conditional Value-at-Risk Under Uncertain Environment

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Detalles Bibliográficos
Publicado en:	International Journal of Advanced Computer Science and Applications vol. 16, no. 2 (2025)
Autor Principal:	PDF
Publicado:	Science and Information (SAI) Organization Limited
Materias:	China Algorithms Logistics Machine learning Uncertainty Lateness Nonlinear programming Optimization Customer services Integer programming Customer satisfaction Computer science Mathematical models Route optimization Costs Design Supply chains Queuing theory Optimization algorithms Human error Globalization Freight forwarding Reputations Suppliers
Acceso en liña:	Citation/Abstract Full Text - PDF
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