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板坯最优倒垛问题的有铲启发式算法
引用本文:唐立新,杨自厚,胡国奋.板坯最优倒垛问题的有铲启发式算法[J].系统工程学报,2001,16(2):121-127.
作者姓名:唐立新  杨自厚  胡国奋
作者单位:1. 东北大学系统工程研究所,
2. 上海宝山钢铁集团公司,
基金项目:国家863/CIMS计划支持项目(863-511-708-009),国家自然科学基金资助项目 (79700006),国家教育部优秀教师项目及宝钢工业界合作项目.
摘    要:板坯库用于存放由炼钢-连铸工艺阶段产生的、供热轧生产阶段进一步轧制成带钢或钢板的板坯,一个板坯库中可分为多个逻辑区域,每个逻辑区域又进一步分为多个垛位。同一垛位的板坯之间是叠放的。最优倒垛问题是如何从M个相关的析以坯垛位中选择N个板坯,在满足相应的轧制单元计划所需要的板坯序列要求条件下,保证总的板坯倒垛次数最少。首先对例垛问题进行了定义,在分析了问题的领域结构基础上,构造了新的多回路启发式算法。通过精选的随机产和的200个问题例子的实验显示,提出的启发算法的性能在计算速度和最优性方面都明显优于原系统的启发式算法,在最优性方面平均改进率达到20%,在计算时间方面,可降低一半以上。新多回路启发式算法不但提高了车间作业率,也大在降低了生产过程控制机(FLS)的负荷。

关 键 词:钢铁工业  库存管理  板坯倒垛  最优化  启发式算法
文章编号:1000-5781(2001)02-0121-07
修稿时间:1999年8月18日

Effective heuristic algorithm for optimal turned-out slab pile problem
TANG Li-xin,YANG Zi-hou,HU Guo-fen.Effective heuristic algorithm for optimal turned-out slab pile problem[J].Journal of Systems Engineering,2001,16(2):121-127.
Authors:TANG Li-xin  YANG Zi-hou  HU Guo-fen
Abstract:The slab yard can be used to store slabs produced in steelmaking-continuous cas ting process and required to further form strips and plates by the hot r olling mill. A slab yard can be divided into a large number of logic sections e ach including many pile locations. Slabs are stacked in the slab yard according to the pile location. The optimal turned-out slab pile (TOSP) problem is to d etermine N slabs from M related pile locations so that the total turned -out slab pile number can be minimized while the corresponding slab sequence re quirements of the rolling turn are satisfied. This paper first gives the definit ion of the optimal TOSP problem. Then, a new multiple loop heuristic algorithm i s constructed and implemented. The computational experiments with 200 selected p roblem instances produced randomly show that the new proposed heuristic algorith m performs remarkably better than the old one. The average optimality of the alg orithm is enhanced by 20 % and the computation time is reduced by about 50 %. Th e new algorithm not only increases the shop floor productivity, but also cuts do wn greatly the workload of FLS.
Keywords:
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