Local and global optimisation in raw material processing

Fenemedre Qaeze (1) , Caroline Thierry (1, 2) , Romain Guillaume (1, 2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 UT2J - Université Toulouse - Jean Jaurès

In this paper we are interested in the mine planning. The aims of this paper is to propose a new model of global optimization for bloc extraction and smelting furnace and then evaluate the advantage to use a global model rather than a set of local optimization. In fact, organizing a global optimization between mines extraction site and smelting furnace require a reorganization of the mines planning service and the smelting furnace planning service. Show the advantage of a global optimization approach is the first step of the process of a global optimization. The proposed model is capable of optimizing mining complexes and takes into account the possibility to produce different types of products thanks to production policies dictated by the processing plant.

Mots clés: Raw materials; Additives; Planning; Optimization; Furnaces; Smelting

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Fenemedre Qaeze, Caroline Thierry, Romain Guillaume. Local and global optimisation in raw material processing. 6th International Conference on Industrial Engineering ans Systems Management (IESM 2015), Oct 2015, Séville, Spain. pp. 1-9. ⟨hal-01567068⟩