关键词: 钢铁产品, 质量设计, 微粒群优化, 聚类分析, 组批计划

Abstract: In view of the multi-variety and small-batch market demands versus mass production organization feature of steel enterprises, an order-grouping quality design method based on clustering analysis was proposed by analyzing the characteristics of steel quality design for order-grouping problem and its integration with production planning. The value range space constraints of quality characteristics and the capacity constraints of the equipments were introduced. The clustering analysis were also conducted on the differences among variety orders'quality characteristics in a group based on improved Particle Swarm Optimization (PSO) algorithm. Standard +α optimized quality design was performed in group quality characteristics to decrease the quality waste on the premise of equipments capacity requirements. It provided quantitative basis for order-grouping planning decision-making and realized the seamless integration between quality design and production planning.

Key words: steel product, quality design, particle swarm optimization, clustering analysis, order-grouping planning