摘要
针对面向订单生产的钢铁企业多品种小批量的市场需求与大批量的生产组织特点,分析了面向组批生产计划的钢铁产品质量设计的特点以及生产计划的集成性,提出了基于带空间和容量约束的聚类分析的组批质量设计方法。该方法引入了质量特性取值范围空间约束和设备容量约束,基于改进的微粒群算法对组批内不同品种合同质量特性差异的聚类分析,对组批质量特性综合值进行标准+α的优化设计。在满足设备容量要求的前提下尽可能减少质量的浪费,并且为组批生产计划的决策提供质量方面的量化依据,实现质量设计与生产计划之间的无缝集成。
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 intro- duced. 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 -~a 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.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2009年第11期2104-2110,共7页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(70572098)~~
关键词
钢铁产品
质量设计
微粒群优化
聚类分析
组批计划
steel product
quality design
particle swarm optimization
clustering analysis
order-grouping planning
