This thesis aims to investigate the impact of uncertainty in demand and OEE on the environmental impact in terms of CO2e in the FMCG industry. The motivation for the thesis comes from the fact that while sustainability has become important, it is not always easy to achieve it due to many uncertainties in production planning. The research problem is analyzed by establishing a bi-objective stochastic programming model for MPS with rolling horizon planning. The obtained results consist of ten pareto points and constitute pareto fronts. The main results suggest that higher demand uncertainty leads to a higher environmental impact, given the same level of capacity. As far as OEE uncertainty is concerned, higher OEE uncertainty is not necessarily related to a higher environmental impact as the production quantity decreases. However, given the same level of economic cost, it leads to a higher environmental impact and deteriorated fill rate. Overall, the thesis concludes that higher uncertainty poses a considerable threat to supply chain performances as well as environmental sustainability.     «

This thesis aims to investigate the impact of uncertainty in demand and OEE on the environmental impact in terms of CO2e in the FMCG industry. The motivation for the thesis comes from the fact that while sustainability has become important, it is not always easy to achieve it due to many uncertainties in production planning. The research problem is analyzed by establishing a bi-objective stochastic programming model for MPS with rolling horizon planning. The obtained results consist of ten paret...     »