A GENETIC ALGORITHM APPROACH FOR SOLVING THE TRIM LOSS OPTIMIZATION PROBLEM IN PAPER MANUFACTURING INDUSTRIES

摘要

Minimizing the trim loss is one of the most common issues arising in the paper manufacturing industries and recently has been considered as one among the important research topics in industrial engineering. In the trim loss optimization problem, the machine will turn up with jumbos of constant size over which it is required to satisfy rolls of variable size and variable quantity as per customer requirement. Hence an optimal cutting plan has to be made so as to minimize the wastage or trim loss. This paper addresses the trim loss optimization problem by having a genetic algorithm approach. Numerical examples illustrate the efficiency and practicality of the proposed method. The objective is to produce a set of paper rolls from jumbo such that the trim loss is minimized. This can be considered as a cost minimization or as a profit maximization problem.