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This work addresses the life cycle economic and environmental optimisation of a supply chain network considering both design and operational decisions under uncertainty. A general modelling framework is proposed that integrates the functional-unit-based life cycle optimisation methodology and the two-stage stochastic programming approach for sustainable supply chain optimisation under uncertainty. a stochastic mixed-integer linear fractional programming (SMILFP) model is developed to tackledoi:10.3303/cet1761023 doaj:7f0340e4649342a1baca49855b777cb6 fatcat:gb5zv2vs4bg6nl7uzgswnblxly