Reliability and sustainability in supply chain network redesign: A bi-objective stochastic programming approach

This dataset contains the GAMS implementation of the bi-objective stochastic programming model developed for the article "Reliability and sustainability in supply chain network redesign: A bi-objective stochastic programming approach."The model simultaneously minimizes total supply chain costs and maximizes system reliability while integrating environmental and social sustainability constraints. It incorporates uncertainties in demand, warehouse capacity, and production costs through a two-stage stochastic programming framework. Reliability is modeled using exponential failure-rate functions for warehouses and manufacturers, while sustainability is addressed with greenhouse gas emission limits and Human Development Index (HDI)-based location rules.The code includes formulations for cost minimization, reliability maximization, and the AUGMECON2 method for generating Pareto-optimal solutions. Computational experiments, as described in the manuscript, demonstrate the tractability of the approach for realistic supply chain redesign problems.This repository provides the GAMS code used in the study.