Multi-Objective Model and Heuristic Algorithm for Billet Stacking Problem in Steel Production

Autor: Guang Jing Dong, Yi Wei Ma, Can Tao Shi
Rok vydání: 2014
Předmět:
Zdroj: Advanced Materials Research. :606-611
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.889-890.606
Popis: Aiming at billet stacking problem of the rolling mill, a multi-objective programming model is established. Billets on the roller are batched by clustering algorithm and then assigned to the warehouse stack positions by improved Clustering-based Best Fit algorithm (CBF). The utilization of non-empty warehouse stack positions and shuffles are considered in the algorithm. Compared to existing artificial calculation method, the proposed algorithm can not only reduce the shuffles significantly, but also improve the space utilization of warehouse stacking positions.
Databáze: OpenAIRE