Abstract

There is a lot of waste of profile materials in the production process of aluminium alloy doors and windows manufacturers, and the cost of profile materials occupies a large proportion of the manufacturing cost of aluminium alloy doors and windows. According to the traditional aluminium alloy door and window manufacturers in the cutting-stock process, the problem of waste of profiles, confusion of cutting orders, low automation and low production efficiency, etc., we proposed a cutting-stock algorithm that selects different cutting-stock algorithms for different cutting-stock order sizes. We used improved linear programming method to solve the small-scale cutting problem, and limited the number of cutting methods of the profiles, and used LINGO software code to solve it. The hybrid genetic algorithm is used to solve the one-dimensional large-scale order placement problem. It is concluded that the algorithm improves the utilization rate of the profile, improves the production efficiency of the enterprise and decrease the cost of the enterprise.

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