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基于模糊匹配的板坯入库优化决策问题模型及求解
引用本文:涂雪平,施灿涛,李铁克. 基于模糊匹配的板坯入库优化决策问题模型及求解[J]. 北京科技大学学报, 2011, 33(3): 376-382
作者姓名:涂雪平  施灿涛  李铁克
作者单位:北京科技大学经济管理学院;钢铁生产制造执行系统技术教育部工程研究中心;东方电气东方锅炉股份有限公司项目部;
基金项目:国家自然科学基金资助项目(No.70771008;No.70371057); 中央高校基本科研业务费专项资金资助项目(No.FRF--AS--09--007B)
摘    要:针对板坯入库优化决策问题,采用隶属度函数表示待入库板坯长度、宽度、厚度与各库位已存板坯对应属性的匹配程度,建立了板坯入库模型.针对问题特征,借鉴遗传算法的交叉和变异操作,设计了一种混合离散粒子群算法(DPSO--CM)进行求解.基于企业实际生产数据的仿真实验验证了模型和算法的可行性和有效性.

关 键 词:入库优化  板坯入库决策  模糊匹配  隶属度  粒子群算法

Model and algorithm for the slab location optimization decision problem based on fuzzy matching
TU Xue-ping,SHI Can-tao,LI Tie-ke. Model and algorithm for the slab location optimization decision problem based on fuzzy matching[J]. Journal of University of Science and Technology Beijing, 2011, 33(3): 376-382
Authors:TU Xue-ping  SHI Can-tao  LI Tie-ke
Affiliation:TU Xue-ping1,2,3),SHI Can-tao1,2),LI Tie-ke1,2)1) School of Economics and Management,University of Science and Technology Beijing,Beijing 100083,China2) Engineering Research Center of MES Technology for Iron & Steel Production,Ministry of Education of China,Beijing 10083,China3) Project Department,Dongfang Boiler Group Co.Ltd.,Zigong 643000,China
Abstract:For solving the slab location decision problem with hybrid stowage,a slab location model using a membership function was built to express the level of matching on the related attributes of length,width and thickness between the storing slabs and stored slabs in a warehouse.According to the characteristics of the problem,a hybrid discrete particle swarm algorithm,called DPSO-MC,was proposed based on crossover and mutation in genetic algorithms.Experimental results on a real case of a steel plant demonstrate ...
Keywords:inventory optimization  slab location decision  fuzzy matching  membership function  particle swarm algorithm  
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