A Useful Algorithm for Cost and Asset Management in Cutting Industries

Economic management and a correct production is one of the important factors in managing of a system. One Dimension Cutting Stock Problem is a kind of Optimistic problem that cutting industry managers like steel ,plastic ,wood and etc. have to deal with it because of a great impact that cutting process has on production cost .Ability to use the wastage and concentrate the trim loss on minimum is an important factor for these managers. In fact , in this problem we have two important items ,Order list ,which is the little parts ,and Stock material ,which are the big parts .The main ail is to reduce the trim loss as well as supplying all the requirements .So we call this problem Cutting Stock Problem .we can study it in terms of Item Oriented or Pattern Oriented. Mostly, the manager aim is not only reducing the trim loss, but concentrate it on minimum number of the large objects So they can reduce the row material and trim loss costs and economically help to the system. In this paper the cutting stock problem is Item Oriented .In this way, an index for focusing the trim loss on minimum number of large objects will be introduce, Then with using Genetic algorithm, a new algorithm will be suggested and the problem will be solved by using the algorithm .Finally some random problems is generated and will be solved by this algorithm.