Journal of System Simulation ›› 2020, Vol. 32 ›› Issue (9): 1664-1675.doi: 10.16182/j.issn1004731x.joss.19-0042
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Fu Jianlin1, Zhang Hengzhi2, Zhang Jian1, Jiang Liangkui2
Received:
2019-01-24
Revised:
2019-05-30
Online:
2020-09-18
Published:
2020-09-18
CLC Number:
Fu Jianlin, Zhang Hengzhi, Zhang Jian, Jiang Liangkui. Review on AGV Scheduling Optimization[J]. Journal of System Simulation, 2020, 32(9): 1664-1675.
[1] Vis I F.A Survey of research in the design and control of automated guided vehicle systems[J]. European Journal of Operational Research (S0377-2217), 2006, 170(3): 677-709. [2] Qiu L, Hsu W J, Huang S Y, et al.Scheduling and routing algorithms for AGVs: a survey[J]. International Journal of Production Research (S0020-7543), 2002, 40(3): 745-760. [3] Le-Anh T, De Koster M B M. A review of design and control of automated guided vehicle Systems[J]. European Journal of Operational Research (S0377-2217), 2006, 171(1): 1-23. [4] Fazlollahtabar H, Saidi-Mehrabad M.Methodologies to Optimize Automated Guided Vehicle Scheduling and Routing Problems: A Review Study[J]. J Intell Robot Syst (S0921-0296), 2015, 77: 525-545. [5] Miyamoto T, Inoue K.Local and random searches for dispatch and conflict free routing problem of capacitated AGV systems[J]. Computers & Industrial Engineering (S0360-8352), 2016, 91: 1-9. [6] 马越汇, 胡志华. 不确定环境下自动化集装箱码头AGV调度与配置问题[J]. 广西大学学报(自然科学版), 2016, 41(2): 589-597. Ma Yuehui, Hu Zhihua.The dispatching and scheduling problems of AGVs at automated container terminals under uncertainty conditions[J]. Journal of Guangxi University (Natural Science Edition), 2016, 41(2): 589-597. [7] 霍凯歌, 胡志华. 基于遗传算法的自动化集装箱码头多载AGV调度[J]. 上海海事大学学报, 2016, 37(3): 7-33. Huo Kaige, Hu Zhihua.Multi-load AGV scheduling in automated container terminals based on genetic algorithm[J]. Journal of Shanghai Maritime University, 2016, 37(3): 7-33. [8] 霍凯歌, 张亚琦, 胡志华. 自动化集装箱码头多载AGV调度问题研究[J]. 大连理工大学学报, 2016, 56(3): 244-251. Huo Kaige, Zhang Yaqi, Hu Zhihua.Research on scheduling problem of multi-load AGV at automated container terminal[J]. Journal of Dalian University of Technology, 2016, 56(3): 244-251. [9] Meersmans P J M, Wagelmans A. Effective algorithms for integrated scheduling of handling equipment at automated container terminals[C]. ERIM Report Series Research in Management. Rotterdam,The Netherlands: Erasmus Research Institute of Management(ERIM), 2001. [10] Bilge Ü, Ulusoy G.A time window approach to simultaneous scheduling of machines and material handling system in an FMS[J]. Operations Research (S0030-364X), 1995, 43: 1058-1070. [11] Heger J, Thomas V.Optimal Scheduling for Automated Guided Vehicles (AGV) in Blocking Job-Shops[C]. IFIP International Conference on Advances in Production Management Systems (APMS). Hamburg, Germany: Springer, Cham, 2017: 151-158. [12] Heger J, Voss T.Optimal Scheduling of AGVs in a Reentrant Blocking Job-shop[C]. Procedia CIRP. Amsterdam, Netherlands: Elsevier, 2018, 67(1): 41-45. [13] Egbelu P J, Jose M A.Tanchoco Characterization of automatic guided vehicle dispatching rules[J]. International Journal of Production Research (S0020-7543), 1984, 22(3): 359-374. [14] Jawahar N, Aravindan P, Ponnambalam S G, et al.AGV Schedule integrated with production in flexible manufacturing systems[J]. Int. J. Adv. Manuf. Technol (S0268-3768), 1998, 14: 428-440. [15] Sabuncuoglu I.Experimental investigation of an FMS due-date scheduling problem: evaluation of machine and AGV scheduling rules[J]. The International Journal of Flexible Manufacturing Systems (S1936-6582), 1993, 5: 301-323. [16] Namita S, Sarngadharan P V, Pal P K.AGV Scheduling for Automated Material Distribution: A Case Study[J]. Journal of Intelligent Manufacturing (S0956-5515), 2011, 22(2): 219-228. [17] Kim B K, Oh S J.Development of dispatching rules for automate guided vehicle systems[J]. Journal of Manufacturing Systems (S0278-6125), 1998, 17(2): 137-143. [18] 管贤平, 戴先中. 自动导引车系统避免死锁的多属性任务调度方法[J]. 中国机械工程, 2009, 20(19): 2337-2342. Guan Xianping, Dai Xianzhong.Multi-attribute Dispatching Method with Deadlock Avoidance for AGV Systems[J]. China Mechanical Engineering, 2009, 20(19): 2337-2342. [19] 肖海宁, 楼佩煌, 满增光, 等. 自动导引车系统实时多属性任务调度方法[J]. 计算机集成制造系统, 2012, 18(10): 2224-2230. Xiao Haining, Lou Peihuang, Man Zengguang, et al.Real-time multi-attribute dispatching method for automatic guided vehicle system[J].Computer Integrated Manufacturing Systems, 2012, 18(10): 2224-2230. [20] Ulusoy G, Bilge U.Simultaneous scheduling of machines and automated guided vehicles[J]. INT. J. PROD. RES.(S0020-7543), 1993, 31(12): 2857-2873. [21] 黄一钧. 车身车间AGV物料搬运系统小车数量配置规划[J]. 工业工程与管理, 2015, 20(4): 156-162. Huang Yijun.Planning on the Number of Vehicle Requirement for Body Shop AGV Material Handling System[J]. Industrial Engineering and Management, 2015, 20(4): 156-162. [22] 金芳, 方凯, 王京林. 基于排队论的AGV调度研究[J].仪器仪表学报, 2004, 25(增1): 844-846. Jin Fang, Fang Kai, Wang Jinglin.Research on AGV's Scheduling Based on Queuing Theory[J]. Chinese Journal of Scientific Instrument, 2004, 25(S1): 844-846. [23] 桑泽磊. 基于Agent的车间AGV智能调度技术研究[D]. 南京: 南京航空航天大学, 2016. Sang Zelei.Research on Intelligent Scheduling of AGV Based on Agent in Floor Shop[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2016. [24] 经建峰. 基于智能体的多AGV自主控制系统研发[D]. 南京: 南京航空航天大学, 2014. Jing Jianfeng.Study and Development of Autonomous Control Multi-AGV System Based on Agent[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2014. [25] 李晓萌, 杨煜普, 许晓鸣. 基于多级决策的多智能体自动导航车调度系统[J]. 上海交通大学学报, 2002, 36(8): 1146-1149. Li Xiaomeng, Yang Yupu, Xu Xiaoming.Multi-agent AGV Dispatching System Using Multilevel Decision Methods[J]. Journal of Shanghai Jiaotong University, 2002, 36(8): 1146-1149. [26] Cenk S, Melek D, Rizvan E, et al.A multi-agent based approach to dynamic scheduling with flexible processing capabilities[J]. J Intell Manuf (S0956-5515), 2017, 28: 1827-1845. [27] 任小龙. 基于Petri网的FMS调度问题研究[D]. 西安: 西安电子科技大学, 2010. Ren Xiaolong.Study on Scheduling Flexible Manufacturing Systems Using Petri Nets[D]. Xi'an: XiDian University, 2010. [28] 李国飞. 叉车式AGV运动控制与调度方法的研究[D]. 哈尔滨: 哈尔滨工业大学, 2015. Li Guofei.Research on Motion control and Scheduling method of Forklift AGV[D]. Harbin: Harbin Institute of Technology, 2015. [29] Nishi T, Tanaka Y.Petri Net Decomposition Approach for Dispatching and Conflict-Free routing of Bidirectional Automated Guided Vehicle Systems[J]. IEEE Transactions on Systems, Man and Cybernetics- Part A: Systems and Humans (S2168-2216), 2012, 42(5): 1230-1243. [30] Giglio D, Paolucci M.Agent-based Petri net models for AGV management in manufacturing systems[C]. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics. Los Alamitos, CA: IEEE Computer Society, 2001: 2457-2462. [31] Yim D S, Linn R J.Push and pull rules for dispatching automated guided vehicles in a flexible manufacturing system[J]. International Journal of Production Research (S0020-7543), 1993, 31: 43-57. [32] Baruwa O T, Piera M A.A coloured Petri net based hybrid heuristic search approach to simultaneous scheduling of machines and automated guided vehicles[J]. International Journal of Production Research (S0020-7543), 2016, 54(16): 4773-4792. [33] 柯冉绚, 任亚东. 集装箱码头AGV调度优化[J]. 集美大学学报(自然科学版), 2016, 21(1): 35-41. Ke Ranxuan, Ren Yadong.Study on Optimizing AGV Control in Container Terminals[J]. Journal of Jimei University (Natural Science), 2016, 21(1): 35-41. [34] 李军涛, 夏琨, 木漱洋. 交叉环单向循环搬运系统调度问题的仿真优化研究[J]. 系统仿真学报, 2016, 28(7): 1561-1574. Li Juntao, Xia Kun, Kise Hiroshi.Scheduling Problem of Unidirectional Material Handling System with Short-cut[J]. Journal of System Simulation, 2016, 28(7): 1561-1574. [35] 杨武平. 模具智能车间公共缓存区单AGV调度策略与仿真[D]. 广州: 广东工业大学, 2016. Yang Wuping.Intelligent die shop public buffer zone single AGV scheduling and simulation[D]. Guangzhou: Guangdong University of Technology, 2016. [36] 韩晓龙, 樊加伟. 自动化港口AGV调度配置仿真分析[J]. 重庆交通大学学报(自然科学版), 2016, 35(5): 151-154. Han Xiaolong, Fan Jiawei.Analysis of AGV Dispatching and Configuration Simulation of Automated Container Terminals[J], Journal of Chongqing Jiaotong University(Natural Science), 2016, 35(5): 151-154. [37] Mousavi M, Yap H J, Musa S N, et al.Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization[J]. PLoS ONE (S1932-6203), 2017, 12(3): 1-24. [38] Mousavi M, Yap H J.A fuzzy hybrid GA-PSO algorithm for multi-objective AGV scheduling in FMS[J]. Int J simul model (S1726-4529), 2017, 16(1): 58-71. [39] Viharos A B, István N.Simulation and Scheduling of AGV Based Robotic Assembly Systems[C]. IFAC-Papers On Line. Amsterdam, Netherlands: Elsevier, 2018, 51(11): 1415-1420. [40] 朱琳, 范秀敏. 柔性生产系统配料区多自动导航小车调度优化[J]. 计算机集成制造系统, 2012, 18(6): 1168-1175. Zhu Lin, Fan Xiumin.Scheduling optimization for multi-AGVs in batching area of flexible production system[J]. Computer Integrated Manufacturing Systems, 2012, 18(6): 1168-1175. [41] 刘旭. 基于AGV平台的多品种混流装配智能调度与控制技术研究[D]. 南京: 南京航空航天大学, 2015. Liu Xu.Research on Intelligent Dispatching and Control for Mixed Mode Assembly Based on AGV Platform[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2015. [42] 汪先超. 多AGV系统的组合导航控制与调度方法研究[D]. 大连: 大连理工大学, 2016. Wang Xianchao, Integrated Navigation Control and Research on Scheduling Method for Multi-AGVs system[D]. Dalian: Dalian University of Technology, 2016. [43] Lin L, Gen M.A random key-based genetic algorithm for AGV dispatching in FMS[J]. International Journal of Manufacturing Technology and Management (S1741-5195), 2009, 16: 58-75. [44] Ulusoy G, Bilge U.A genetic algorithm approach to the simultaneous scheduling of machines and automated guided vehicles[J]. Computers and Operations Research (S0305-0548), 1997, 24: 335-351. [45] Reddy B S P, Rao C S P. A hybrid multi-objective GA for simultaneous scheduling of machines and AGVs in FMS[J]. Int. J. Adv. Manuf. Technol (S0268-3768), 2006, 31(5/6): 602-613 [46] Jerald J, Asokan P, Saravanan R, et al.Simultaneous scheduling of parts and automated guided vehicles in an FMS environment using adaptive genetic algorithm[J]. Int. J. Adv. Manuf. Technol (S0268-3768), 2006, 29: 584-589. [47] Abdelmaguid T F, Nassef A O, Kamal B A, et al.A hybrid GA/heuristic approach to the simultaneous scheduling of machines and automated guided vehicles[J]. International Journal of Production Research (S0020-7543), 2004, 42: 267-281. [48] Chaudhry I A, Mahmood S, Shami M.Simultaneous scheduling of machines and automated guided vehicles in flexible manufacturing systems using genetic algorithms[J]. Journal of South University of Technology (S2095-2899). 2011, 18(5): 1473-1486. [49] 李岩. 柔性加工环境中机器和AGV的集成调度[J]. 中国机械工程, 2001, 12(4): 447-451. Li Yan.Integrated Scheduling of Machines and AGVs in Flexible Manufacturing Environment[J]. China Mechanical Engineering, 2001, 12(4): 447-451. [50] 柳赛男, 柯映林. 一种解决有AGV小车约束的车间智能调度问题的算法[J]. 中国机械工程, 2007, 18(15): 1810-1813. Liu Sainan, Ke Yinglin.An Algorithm for Job Shop Scheduling in Dual Resource Constrained with AGV[J]. China Mechanical Engineering, 2007, 18(15): 1810-1813. [51] 肖海宁, 楼佩煌, 严伟国, 等. 柔性作业车间中机床与自动导引车在线调度方法[J]. 农业机械学报, 2013, 44(4): 280-286 Xiao Haining, Lou Peihuang, Yan Weiguo, et al.On-line Scheduling Method for Simultaneous Scheduling of Machines and Automated Guided Vehicles in Flexible Job Shop[J]. Transactions of the Chinese Society for Agricultural Machinery, 2013, 44(4): 280-286. [52] Yang Y S, Zhong M S, Dessouky Y, et al.An Integrated Scheduling Method for AGV Routing in Automated Container Terminals[J]. Computers & Industrial Engineering (S0360-8352), 2018, 126: 482-493. [53] 冯辉宗, 陈勇, 刘飞, 等. 基于遗传算法的配送车辆优化调度[J]. 计算机集成制造系统, 2004, 10(增1): 81-84. Feng Huizong, Chen Yong, Liu Fei, et al.Optimized scheduling of distribution vehicles based on genetic algorithm[J]. Computer Integrated Manufacturing Systems, 2004, 10(S1): 81-84. [54] Jin J, Zhang X H.Multi AGV scheduling problem in automated container terminal[J]. Journal of Marine Science and Technology-Taiwan (S1023-2796), 2016, 24(1): 32-38. [55] 魏昆. 柔性制造系统AGV动态调度模型与算法[D]. 沈阳: 沈阳大学, 2014. Wei Kun.The Dynamic Scheduling Model and Algorithm of AGV in Flexible Manufacturing System[D]. Shenyang: Shenyang University, 2014. [56] 焦福明. 自动化仓储系统AGV调度研究与实现[D]. 济南: 山东大学硕士论文, 2013. Jiao Fuming.Study and Realization of AGV Scheduling in Automatic Storage & Retrieval System[D]. Jinan: Shangdong University, 2013. [57] 边培莹, 李德信, 包宝军, 等. 粒子群算法在生产物流调度中的应用研究[J]. 计算机工程与应用, 2010, 46(17): 220-223. Bian Peiying, Li Dexin, Bao Baojun, et al.Application research of particle swarm optimization in production logistics scheduling[J]. Computer Engineering and Applications, 2010, 46(17): 220-223. [58] 郝一名. AGV系统作业调度策略研究[D]. 济南: 山东大学硕士学位论文, 2016. Hao Yiming.Research of Strategy on Automated Guided Vehicle System Task Scheduling[D]. Jinan: Shandong University, 2016 [59] 罗键, 吴长庆, 李波, 等. 基于改进量子微粒群的轨道导引小车系统建模与优化[J]. 计算机集成制造系统, 2011, 17(2): 321-328. Luo Jian, Wu Changqing, Li Bo, et al.Modeling and optimization of RGV system based on improved QPSO[J]. Computer Integrated Manufacturing Systems, 2011, 17(2): 321-328. [60] Zhang F Q, Li J J.An Improved Particle Swarm Optimization Algorithm for Integrated Scheduling Model in AGV-Served Manufacturing Systems[J]. Journal of Advanced Manufacturing Systems (S0219-6867), 2018, 17(3): 375-390. [61] Lin L, Liang Y, Gen M, et al.A hybrid evolutionary algorithm for FMS optimization with AGV dispatching[C]. CIE42 Proceedings. Cape Town, South Africa: SAIIE, 2012. [62] 杨锋英, 刘会超. AGV作业调度模型及改进的DE算法研究[J]. 计算机工程与应用, 2014, 50(9): 225-230. Yang Fengying, Liu Huichao.Research on AGV job scheduling model and improved differential evolution algorithm. Computer Engineering and Applications[J]. Computer Engineering and Applications, 2014, 50(9): 225-230. [63] Satish K M V, Janardhana R, Rao C S P. Simultaneous scheduling of machines and vehicles in an FMS environment with alternative routing[J]. International Journal of Advanced Manufacturing Tecnology (S0268-3768), 2011, 53: 339-351. [64] Gnanavel Babu A, Jerald J, Noorul Haq A, et al.Scheduling of machines and automated guided vehicles in FMS using differential evolution[J]. International Journal of Production Research (S0020-7543), 2010, 48(16): 4683-4699. [65] 张磊. 轮式机器人路径规划及任务调度算法研究与设计[D]. 广州: 华南理工大学, 2016. Zhang Lei.Research and Design in Algorithm of Path Planning and Task Scheduling for Wheeled Robot[D]. Guangzhou: South China University of Technology, 2016 [66] Saidi-Mehrabad M, Dehnavi-Arani S, Evazabadian F, et al.An Ant Colony Algorithm (ACA) for solving the new integrated model of job shop scheduling and conflict-free routing of AGVs[J]. Computers & Industrial Engineering (S0360-8352), 2015, 86: 2-13. [67] Li G M, Bing Z, Wei L, et al.A New AGV Scheduling Algorithm Based on Harmony Search for Material Transfer in a Real-World Manufacturing System[J]. Advances in Mechanical Engineering (S1687-8140), 2018, 10(3): 1-13. [68] Xue T F, Peng Z, Yu H B.A Reinforcement Learning Method for Multi-AGV Scheduling in Manufacturing[C]. 2018 IEEE International Conference on Industrial Technology (ICIT). Los Alamitos, CA: IEEE Computer Society, 2018: 1557-1561. [69] Murugesan R.Optimization Algorithm for Minimizing the Earliness/Tardiness of Automated Guided Vehicles Using Artificial Immune System[J]. International Journal of Applied Engineering Research (S0973-4562), 2017, 12(22): 11913-11919. [70] 袁颖河, 吴智铭. FMS_AGV传输系统自学习调度方法[J]. 上海交通大学学报, 1998, 32(6): 83-87. Yuan Yinghe, Wu Zhiming.Algorithm of Self-Learning Scheduling in FMS-AGV Transportation System[J]. Journal of Shanghai Jiaotong University, 1998, 32(6): 83-87. [71] 于璐. 基于混合遗传算法的柔性制造系统调度研究[D]. 镇江: 江苏大学, 2016. Yu Lu.Research on Scheduling for Flexible Manufacturing System Based on Hybrid Genetic Algorithm[D]. Zhenjiang: Jiangsu University, 2016. [72] Umar A U, Ariffin M K A. Hybrid multi-objective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment[J]. Int J Adv Manuf Technol (S0268-3768), 2015(81): 2123-2141. [73] Udhayakumar P, Kumanan S.Task Scheduling of AGV in FMS using Non-traditional Optimization Techniques[J]. International Journal of Simulation Modeling (S1726-4529), 2010, 9(1): 28-39. [74] Zhang J, Ding G F, Zou Y S, et al.Review of Job Shop Scheduling Research and its New Perspectives Under Industry 4.0[J]. Journal of Intelligent Manufacturing (S0956-5515), 2017: 1-22. |
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