Synthesis of environmentally-benign energy self-sufficient processes under uncertainty

• Dynamic supply-network synthesis applied to food industry with variable supply and demand.
• Flexible synthesis accounting for uncertainties relating to product supply and demand.
• Integration of renewables to achieve environmentally-benign energy self-sufficient processes.
• Multi-objective synthesis considering several environmental footprints.
• Solutions reflect maximal profit, dynamic market conditions, and protecting the environment.

This contribution presents a multi-objective Mixed-Integer Linear Programming (MILP) synthesis of a dynamic supply-network under uncertainty applied to food industry. The previously-developed multi-objective model for achieving energy self-sufficiency by integrating renewables into companies' supply-networks has now been extended to account for the dynamic consideration of variable supply and demand over the year, for uncertainties related to products' demand and sun radiation, and for multi-objective optimisation, in order to obtain the most sustainable company's supply-network. The sustainable synthesis of a company's network is performed regarding the integration of renewables such as biomass and other wastes, and solar energy. The obtained solutions are those reflecting maximal profit, reflecting constantly-changing dynamic market conditions, accounting for several uncertain parameters, and protecting the environment.