考虑机器检修的热轧钢管批量计划方法  被引量:5

Methods of hot-rolled batch planning for seamless steel tube with machine maintenance

在线阅读下载全文

作  者:吴子轩 李铁克[1,2] 张文新 王柏琳[1,2] 

机构地区:[1]北京科技大学东凌经济管理学院,北京100083 [2]钢铁生产制造执行系统技术教育部工程研究中心,北京100083

出  处:《控制理论与应用》2017年第9期1250-1259,共10页Control Theory & Applications

基  金:国家自然科学基金项目(71701016;71231001);中央高校基本科研业务费项目(FRF–BD–16–006A);北京市自然科学基金项目(9174038);教育部人文社会科学研究青年基金项目(17YJC630143)资助~~

摘  要:本文从无缝钢管生产实际中提取并定义了周期性机器检修环境下的钢管热轧批量计划问题,基于无缝钢管生产的特殊性,将该问题抽象为一类考虑机器检修和机器调整时间的单机调度问题,并建立了以最小化机器闲置和机器调整时间为目标的数学模型.针对批量间的机器调整时间取决于钢管规格的变化这一特性,提出了最小调整时间排序规则,证明了该规则在不考虑检修计划时具有最优性.进而,以此为基础建立了循环求解框架,并设计了两阶段启发式算法.基于实际生产数据设计了多种问题规模的实验,验证了算法的有效性,并从实际应用角度对结果进行了分析.In this paper, a hot-rolled batch planning problem for seamless steel tube was extracted and defined from actual production under the condition of periodic machine maintenance. Due to the particularity of the seamless steel tube production, the problem was abstracted into a single machine scheduling problem with machine maintenance and setup times, and its mathematical model was established to minimize the total idle time and total setup time. Based on the feature that the setup time between batches depends on the specifications of steel tubes, a minimum rolling mill setup time rule was proposed, and it was proved to be optimal when the maintenance plan is not considered. In addition, a solving strategy and a cyclic solving architecture were furthermore established based on it, and a two-stage heuristic algorithm was designed.Finally, based on actual production data, experiments of different scale were carried out to evaluate the performance of the algorithm. The experimental results show that the algorithm can get a near optimal solution in a short time. Moreover, these results had been accordingly analyzed from practical point of views as well.

关 键 词:无缝钢管 热轧批量计划 机器检修 机器调整时间 启发式算法 

分 类 号:TG335.71[金属学及工艺—金属压力加工]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象