Optimization model demonstrates equilibrium conditions in multi-echelon supply chains, suggesting enhanced computational efficiency in logistics planning.
This paper proposes a profit-maximization model for a multi-echelon supply chain, integrating transportation and inventory decisions within a unified framework. The system is formulated as a Variational Inequality, ensuring equilibrium conditions under convex costs and network constraints. By incorporating the Economic Order Quantity policy, inventory variables are eliminated, reducing model complexity. A projection method is used for computation, and numerical results illustrate the effectiveness of the approach in capturing realistic logistics behaviors.
No takes yet. Share an insight, caveat, or question.
Colajanni et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: