Viable Supply Chain Network Design: Machine Learning-Derived Chance-Constrained Programming

Mohammad Rohaninejad, Behdin Vahedi-Nouri, Elham Jelodari Mamaghani +2

The paper proposes mixed‑integer models for designing a two‑echelon supply chain that remains viable despite facility disruptions, using machine‑learning‑based chance‑constraints a…