Capacity planning and financial optimization of the bioethanol supply chain under price uncertainty

摘要

This work addresses the development of a dynamic spatially explicit MILP (MixedrnInteger Linear Programming) modeling framework devised to optimize the design andrnplanning of biomass-based fuel supply networks according to financial criteria andrnaccounting for uncertainty on market conditions. The model capabilities in steeringrnstrategic decisions are assessed through a real-world case study related to the emergingrncorn-based bioethanol production system in Northern Italy. Two optimization criteriarnare considered, based on a risk-seeking or, alternatively, on a risk-adverse-approach.