Hybrid Optimization Framework for Closed-Loop Supply Chains: Embedding Neural Networks in Two-Stage Stochastic Programming
This paper develops an integrated surrogate model for optimizing a sustainable Closed-Loop Supply Chain (CLSC) in an Additive Manufacturing (AM) context. The model combines a neural network with Two-Stage Stochastic Programming (2SP) to handle demand uncertainty. This model significantly improves strategic and operat...