This work examines some well-known optimization models for the cutting stock problem and reports a real experience of their application to a corrugated paper industry (one- dimensional problem) and to a furniture industry (two-dimensional problem). It is also discussed some modifications in the original models to incorporate practical constraints of the cutting processes, such as tolerance in the customer orders, among others. Some computational results from a real example of the furniture industry are presented utilizing a micro-computer.
cutting stock problem; furniture industry; corrugated paper industry
