A Hybrid PSO Algorithm for Integrated Inventory Matching Problem in Iron and Steel Enterprises

摘要

With consideration of three important product types, cold trip, hot strip, and slab, this paper concentrates on the integrated inventory matching problem (IIMP) in iron and steel enterprises. A mathematical model is built to maximize satisfied demand and the amount of fulfilled orders while minimizing total involved cost A PSO based algorithm is proposed into which a local search procedure is embedded to speed up the convergence. The computational tests show that the hybrid algorithm has good performance.