Sustainable Scheduling of the Production in the Aluminum Furnace Hot Rolling Section with Uncertain Demand

In order to reduce the energy consumption of furnaces and save costs in product delivery time, focus this paper is discuss uncertainty demand rolling horizon globally optimize sustainability production aluminum furnace hot section environmental economic dimensions. First, triples α/β/γ are used describe scheduling as flexible flow shop, satisfied constraints uncertainty, operation logic, capacity demand, objectives minimizing residence time ingot makespan. Second, on basis describing with scenario tree, a multi-objective mixed integer linear programming (MILP) optimization model for sustainable formulated. Finally, an alloy manufacturer taken example illustrate proposed model. The computational results show that when objective weight combination takes value α=0.7, β=0.3, indicators dimensions can be optimized maximum extent possible at same time. Increasingly, managerial suggestions associated trade-off between presented. Scheduling process globally, indicating it more conducive development environment than single decision period.