|本期目录/Table of Contents|

[1]张海飞,李建国*,王小农.巷道堆垛式自动化立体车库库位布局方案的优化[J].厦门大学学报(自然科学版),2019,58(03):436-441.[doi:10.6043/j.issn.0438-0479.201806006]
 ZHANG Haifei,LI Jianguo*,WANG Xiaonong.Optimization on layout plan of automated stereoscopic garage space for stacking[J].Journal of Xiamen University(Natural Science),2019,58(03):436-441.[doi:10.6043/j.issn.0438-0479.201806006]
点击复制

巷道堆垛式自动化立体车库库位布局方案的优化(PDF/HTML)
分享到:

《厦门大学学报(自然科学版)》[ISSN:0438-0479/CN:35-1070/N]

卷:
58卷
期数:
2019年03期
页码:
436-441
栏目:
研究论文
出版日期:
2019-05-28

文章信息/Info

Title:
Optimization on layout plan of automated stereoscopic garage space for stacking
文章编号:
0438-0479(2019)03-0436-06
作者:
张海飞李建国*王小农
兰州交通大学自动化与电气工程学院,甘肃 兰州 2730070
Author(s):
ZHANG HaifeiLI Jianguo*WANG Xiaonong
School of Automation & Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
关键词:
智能交通 库位布局 排队论 立体车库 平均等待时间 平均等待队长
Keywords:
intelligent transportation storage location layout queuing theory stereo garage average waiting time average queue length
分类号:
U 491.7; TP 27
DOI:
10.6043/j.issn.0438-0479.201806006
文献标志码:
A
摘要:
为了提高立体车库的服务效率,以排队论研究了巷道堆垛式自动化立体车库.在顾客的平均等待时间和平均等待队长的参考标准下,分析了单服务台系统的车库在随机分配和就近分配两种库位分配情况下的布局方案.结果表明:1) M/M/1排队模型时,4层6列的库位布局的效果最佳,而且就近库位分配策略下顾客平均等待时间和平均等待队长比随机库位分配策略分别减少了约0.33 min和0.07辆; 2) M/M/1/N/∞排队模型时,排队系统容量分别为5,10,25,50辆时,7层10列的库位布局的效果最佳,而且就近库位分配策略下顾客平均等待时间、平均等待队长和堆垛机空闲概率比随机库位分配策略分别缩短了约0.2~0.4 min、0.006~0.149辆和0.534~0.587个百分点.
Abstract:
To improve the service efficiency of the stereo garage,the roadway stacking automatic stereo garage,we have studied by queuing theory.Take the customer’s average waiting time and the average waiting captain’s as the standard,the garage layout with single service desk system is analyzed under the strategy of random and nearest allocation.Results show that:1)When the queueing model is M/M/1,the 4-storey and 6-column storage location layout has achieved the best result,and the nearest allocation is better than the random allocation strategy.For the nearest allocation strategy,the average waiting time of customersand the average queue length is reduced by about 0.33 minutes and 0.07(by car number)separately.2)When the queueing model is M/M/1/N/∞ and the queuing system capacity is 5,10,25,and 50(by car number)respectively,the 7-storey and 10-column storage location layout has achieved the best result.And compare with the random allocation,the average customer waiting time,the average queue length and stacker idle probability of nearest allocation is reduced by about 0.2-0.4 minutes,0.06-0.149(by car number)and 0.534-0.587 percent separately.To improve the service efficiency of the stereo garage,the roadway stacking automatic stereo garage,we have studied by queuing theory.Take the customer’s average waiting time and the average waiting captain’s as the standard,the garage layout with single service desk system is analyzed under the strategy of random and nearest allocation.Results show that:1)When the queueing model is M/M/1,the 4-storey and 6-column storage location layout has achieved the best result,and the nearest allocation is better than the random allocation strategy.For the nearest allocation strategy,the average waiting time of customersand the average queue length is reduced by about 0.33 minutes and 0.07(by car number)separately.2)When the queueing model is M/M/1/N/∞ and the queuing system capacity is 5,10,25,and 50(by car number)respectively,the 7-storey and 10-column storage location layout has achieved the best result.And compare with the random allocation,the average customer waiting time,the average queue length and stacker idle probability of nearest allocation is reduced by about 0.2-0.4 minutes,0.06-0.149(by car number)and 0.534-0.587 percent separately.

参考文献/References:

[1] 张伟中,姜晓强,张伟社.基于排队论的立体车库设计方案参数优化[J].起重运输机械,2011(7):38-41.
[2] 刘日,李建国,梁英.基于排队论的单车厅立体车库运行效率分析[J].物流科技,2016(10):15-19.
[3] 刘日,李建国,王小农.立体车库车位分配建模与仿真[J].江苏大学学报(自然科学版),2018,39(1):19-25.
[4] 徐格宁,程红玫,陈延伟.基于排队论的立体车库车辆存取调度原则优化[J].起重运输机械,2008(5):50-55.
[5] 王丽杰,褚鸿锐,杨羽翼,等.巷道堆垛式立体车库车辆存取测控方法[J].江苏大学学报(自然科学版),2017,38(2):179-185.
[6] 李建国,梁英,刘日.基于遗传算法的巷道堆垛式立体车库路径优化[J].起重运输机械,2016(12):59-63.
[7] CARLO H J,VIS I F A.Sequencing dynamic storage systems with multiple lifts and shuttles[J].International Journal of Production Economics, 2012,140(1):844-853.
[8] EKREN B Y,HERAGU S S.Simulation based performance analysis of an autonomous vehicle storage and retrieval system[J].Simulation Modelling Practice and Theory,2011,19(7):1640-1650.
[9] ROODBERGEN K J,VIS I F A.A survey of literature on automated storage and retrieval systems[J].European Journal of Operational Research,2009,194(2):343-362.
[10] 陈月婷,何芳.基于遗传算法的自动化立体仓库的货位优化分配[J].物流科技,2008,31(1):38-41.
[11] 马永杰,蒋兆远,杨志民.基于遗传算法的自动化仓库的动态货位分配[J].西南交通大学学报,2008,43(3):415-421.
[12] 北京建筑大学.车库建筑设计规范:JGJ 100-2015[S].北京:中国建筑工业出版社,2015.
[13] 邢丽娟.李建国.立体车库车位分配仿真与分析[J].铁路计算机应用,2011(9):32-34.
[14] 周奇才,熊肖磊,任建强,等.立体停车系统特征分析及流畅性计算[J].中国工程机械学报,2005,3(1):41-45.
[15] 周奇才,缪宁,熊肖磊.基于排队论的停车库服务模型与效能探讨[J].中国工程机械学报,2005,3(2):161-164.
[16] EKREN B Y,HERAGU S S,KRISHNAMURTHY A,et al.Simulation based experimental design to identify factors affecting performance of AVS/RS[J].Computers & Industrial Engineering,2010(1):175-185.
[17] POTRC I,LERHER T,KRAMBERGER J,et al.Simulation model of multi-shuttle automated storage and retrieval systems[J].Journal of Materials Processing Technology,2004,157:236-244.

备注/Memo

备注/Memo:
收稿日期:2018-06-05 录用日期:2018-11-26
基金项目:甘肃省自然科学基金(1506RJZA073); 甘肃省建设科技攻关项目(JK2016-10)
*通信作者:394504676@qq.com
引文格式:张海飞,李建国,王小农.巷道堆垛式自动化立体车库库位布局方案的优化[J].厦门大学学报(自然科学版),2019,58(3):436-441.
Citation:ZHANG H F,LI J G,WANG X N.Optimization on l
更新日期/Last Update: 1900-01-01