迭代并行动态规划算法在铸钢熔炼成本优化控制方面的应用  

Application of Iterative Parallel Dynamic Programming Algorithm in Cost Optimizing Control of Cast Steel Melting Process

作　　者：王忠策[1] 魏文超 张鹏程[3] 

机构地区：[1]吉林农业科技学院,吉林省吉林市132101 [2]吉林市钢厂,吉林省吉林市132101 [3]沈阳铸造研究所,辽宁沈阳110022

出　　处：《铸造》2009年第12期1241-1244,共4页Foundry

摘　　要：成本和质量是影响产品核心竞争力的关键环节,在满足质量要求的前提下实现对成本的有效控制,是提高产品竞争力的途径之一。以铸钢合金配料计算和成本优化控制系统的具体设计及实现为例,介绍迭代并行动态规划算法在铸件生产过程中的应用及为实际生产带来的效果。Cost and quality are the key factors affecting the competitiveness of products. Effective control of cost on precondition of satisfying quality specifications is one of the ways to improve competitiveness of products. In this paper the application of the iterative parallel dynamic programming algorithm in melting process of cast steel is presented, through an example of the charge ratio calculation and the design and realization of cost optimization control system.

关 键 词：迭代并行动态规划 铸钢熔炼 配料计算 成本优化 

分 类 号：TG260[金属学及工艺—铸造]