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This paper addresses the design of a two-echelon supply chain that faces transportation disruptions and uncertain customer demands. It formulates the problem as an integer nonlinear program to minimize expected total costs, employing a customized Lagrangian relaxation algorithm for efficient solutions. The study provides insights into how various parameters influence optimal system design through numerical examples.

Author

Arie

Language

EN