区域式AGV规划与设备布局的综合求解方法研究
[Abstract]:This topic comes from the project of the National Natural Science Foundation of China "flexible workshop facility layout and integrated optimization method of AGV (Automated Guided Vehicle) path planning with loading constraints" (No.61304206) and the actual needs of enterprises. Equipment layout and material transportation are two important issues in (Flexible Manufacturing System, FMS), which have been paid attention to by many researchers and enterprises. However, there are few researches on the integration and optimization of FMS and FMS. In this paper, the integrated optimization of equipment layout and AGV path planning for flexible manufacturing workshop is studied. The purpose of this problem is to further reduce manufacturing cost and shorten production cycle. In this paper, with the financial support of the National Natural Science Foundation of China and taking the second phase flexible workshop layout and route planning project of Xiamen B Company as the engineering background, the important problems of route planning and equipment layout in flexible workshop are studied. The regional AGV system is modeled and the solution strategy is given. Tabu search algorithm is used to solve the problem, and the coupling relationship between them is studied. A series of methods and steps are given to solve the path planning and equipment layout problems. The main work of this paper can be summarized as follows: (1) analyze the coupling problem of path planning and equipment layout in flexible workshop, and adopt regional AGV system to solve the problem of path planning and equipment layout. The mathematical model of the regional AGV system is presented, which provides a solution strategy for the load and flow of the cross loop and the load and flow of the inner ring. (2) the layout problem of the flexible workshop is studied and analyzed. A Tabu search algorithm is proposed to solve the circular layout problem in flexible workshop, and four different scale circular layout cases proposed by Nearchou are solved by this method. The numerical simulation results verify the ability of the proposed method. (3) the path planning problem of the regional AGV system in the flexible workshop is studied and analyzed. Taking the nearest distance as the main line, the equipment of the workshop is partitioned, and the sequential connection method is put forward to set the transportation path of the equipment after the partition, so that the inner loop path is the shortest. In order to solve the problem of material transportation between each loop, a transfer station is set up for each loop, and the Tabu search algorithm is used to obtain the best transfer station of each loop, and the sequential connection method is used to connect each transfer station. Thus, the outer loop is formed and the outer loop is the shortest. Finally, an improved method is proposed to obtain a better design scheme. The solution ability of the method is verified by the analysis of data examples. (4) the coupling relationship between path planning and equipment layout in flexible workshop is studied and analyzed, and a comprehensive solution method is proposed. Tabu search algorithm is used to cluster the equipment to obtain the optimal clustering solution. Tabu search algorithm is used to solve the equipment layout of each loop after clustering. The goal is to reduce the total flow in the loop. In order to reduce the cross loop flow, the circuit is arranged to the workshop, and the operation center is formed by connecting each loop transfer station to solve the transportation between the rings. By using the workshop layout of Xiamen B Company as an example, the algorithm is proved to be able to solve the problem. Aiming at the important problems of path planning and shop layout in flexible workshop, this paper studies the integrated modeling and solving method of AGV path planning and equipment layout in flexible manufacturing workshop, and gives the corresponding theoretical method. It is helpful to the research progress of modeling and solving the problem, and has practical significance and practical application value.
【学位授予单位】:大连理工大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TB491
【参考文献】
相关期刊论文 前9条
1 王征;胡祥培;王旭坪;;带二维装箱约束的物流配送车辆路径问题[J];系统工程理论与实践;2011年12期
2 董宗然;周慧;;禁忌搜索算法评述[J];软件工程师;2010年Z1期
3 李新振;滕欢;;自适应遗传-禁忌搜索混合算法在PMU最优配置中的应用[J];四川电力技术;2009年03期
4 张建英;赵志萍;刘暾;;基于人工势场法的机器人路径规划[J];哈尔滨工业大学学报;2006年08期
5 竺长安;齐继阳;曾议;;基于遗传禁忌混合搜索算法的设备布局研究[J];系统工程与电子技术;2006年04期
6 王竹芳;潘德惠;;用遗传-禁忌搜索混合算法求解组合投资问题[J];东北大学学报;2006年01期
7 齐继阳,竺长安,曾议;遗传算法在设备布局设计中的应用[J];中国设备工程;2005年10期
8 李火生,李志华,钟毅芳,戴同;生产车间设备布局线性模型及算法研究[J];计算机工程与应用;2002年11期
9 孙树栋,曲彦宾;遗传算法在机器人路径规划中的应用研究[J];西北工业大学学报;1998年01期
相关博士学位论文 前1条
1 郑晓军;生产车间设施布局优化方法研究[D];大连理工大学;2010年
相关硕士学位论文 前6条
1 冯海双;AGV自动运输系统调度及路径规划的研究[D];哈尔滨工业大学;2013年
2 赵保华;基于遗传算法的设备布局设计及软件开发[D];武汉理工大学;2012年
3 苏小进;机械加工车间设备布局建模与算法研究[D];上海交通大学;2009年
4 曹战;基于遗传算法的车间设备布局问题研究[D];大连交通大学;2007年
5 蓝志坤;多AGV的自动化物流系统动态路径规划的研究[D];吉林大学;2005年
6 李红英;自动导引小车系统(AGVS)路径规划技术研究[D];合肥工业大学;2005年
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