A two-stage stochastic optimization model for synchronized two-echelon routing problems
This paper proposes a two-stage stochastic optimization model for synchronized two-echelon city logistics that minimizes lateness, costs, and road mode share, demonstrating a 37% reduction in expected costs compared to deterministic approaches and highlighting the superior reliability and sustainability of flexible sailing services over relocating storage units under uncertainty.