Research on the Model of Matching Inventory Slab with Order Contracts of Steel Enterprises

This paper studies the matching problem between inventory board and customer order. On the basis of objective analysis and constraint analysis of inventory board and order combination processProcess, a nonlinear integer programming model with minimum surplus materialMaterials ratio as objective function is established, and the model is solved based on particle swarm optimizationParticle swarm optimization algorithm. Adaptive weight and adaptive mutation are introduced to improve the algorithm, which improves the global search ability of the algorithm and quickly obtains the global optimal solution. The improved particle swarm optimizationParticle swarm optimization algorithm is used to solve the mathematical modelMathematical model, and the results show that the model can describe the practical problems well. Compared with manual experience, the efficiency of the combined processProcess is faster, the residual materialMaterials rate is lower, the average residual materialMaterials rate is controlled below 1% and even can be controlled at 0.2% in large-scale application, and the combined processProcess is optimized.