An efficient model implementation to solve a real-world cutting stock problem for a corrugated board boxes mill

MARÍA ANALIA RODRIGUEZ; ALDO R. VECCHIETTI

Bucarest (Rumania)

Simposio; 17th European Symposium on Computer Aided Process Engineering (ESCAPE17); 2007

European Federation of Chemical Engineering

In this paper the cutting stock problem for the corrugated board boxes industry is presented. The problem is solved by means of a two step strategy. First, patterns pre-generation model is formulated which are then used as input in a mathematical MILP model that optimizes the cutting process minimizing the paper trim-loss costs. Several parameters have been added to the system such that the planner can manipulate its values to produce a solution according to their customer demands. The system has been linked to the company ERP and is now in production.