穿梭车仓储系统任务分配优化研究综述

李丽, 武照云, 刘保国, 张鵾

包装工程(技术栏目) ›› 2026, Vol. 47 ›› Issue (11) : 213-223.

PDF(2223 KB)
PDF(2223 KB)
包装工程(技术栏目) ›› 2026, Vol. 47 ›› Issue (11) : 213-223. DOI: 10.19554/j.cnki.1001-3563.2026.11.021
自动化与智能化技术

穿梭车仓储系统任务分配优化研究综述

  • 李丽1,2, 武照云1*, 刘保国1, 张鵾1
作者信息 +

Review of Research on Task Allocation Optimization of Shuttle-based Storage and Retrieval System

  • LI Li1,2, WU Zhaoyun1*, LIU Baoguo1, ZHANG Kun1
Author information +
文章历史 +

摘要

围绕穿梭车仓储系统任务分配优化研究展开深入探讨,旨在解决作业调度中设备协同作业能力不足、整体作业效率低等问题,以更好地满足穿梭车仓储系统对任务分配合理性的需求。通过广泛的文献调研,主要聚焦2020年以来的知网和Web of Science相关文献,从穿梭车仓储系统的结构与作业特点、任务分配模型构建和任务分配优化算法3个方面进行了现有研究的梳理,并讨论了发展趋势。研究表明,虽然围绕穿梭车仓储系统任务分配研究取得了丰硕的成果,但目前研究中存在对动态随机事件考虑不足,设备并行能力有待进一步提升等问题。随着仓储物流行业的蓬勃发展,系统对作业灵活性和效率的要求将日益提高,进一步深化穿梭车仓储系统任务分配的优化研究,有助于为降低物流成本提供理论支撑和技术路径。

Abstract

The work aims to provide a comprehensive examination of task allocation in shuttle-based storage and retrieval systems (SBS/RS) to address key challenges like inadequate equipment coordination and low operational efficiency in warehouse scheduling, so as to meet the demands of rational task allocation in SBS/RS. Through an extensive literature review, and with focuses on relevant literature from the China National Knowledge Infrastructure and Web of Science published after 2020, the structure and operational features, the formulation of task allocation models, and the optimization algorithms of SBS/RS were all investigated. Future development tendencies were also discussed. Although substantial progress has been made in task allocation research of SBS/RS, existing studies still have shortcomings, including low utilization of equipment parallelism and insufficient consideration of dynamic and stochastic events. With the rapid growth of the warehousing and logistics industry, demands for operational flexibility and efficiency will continue to rise. Further in-depth research into task allocation optimization of SBS/RS will provide essential theoretical foundations and technical pathways for reducing logistics costs.

关键词

穿梭车仓储系统 / 任务分配 / 结构 / 建模 / 优化算法

Key words

shuttle-based storage and retrieval system / task allocation / structure / modeling / optimization algorithm

引用本文

导出引用
李丽, 武照云, 刘保国, 张鵾. 穿梭车仓储系统任务分配优化研究综述[J]. 包装工程. 2026, 47(11): 213-223 https://doi.org/10.19554/j.cnki.1001-3563.2026.11.021
LI Li, WU Zhaoyun, LIU Baoguo, ZHANG Kun. Review of Research on Task Allocation Optimization of Shuttle-based Storage and Retrieval System[J]. Packaging Engineering. 2026, 47(11): 213-223 https://doi.org/10.19554/j.cnki.1001-3563.2026.11.021
中图分类号: TB497    F253.4   

参考文献

[1] HANAN M, KHARIA A, ABDULMUTTALIB T.The Automatic Storage and Retrieval System: An Overview[J]. International Journal of Computer Applications, 2019, 177(16): 36-43.
[2] AZADEH K, DE KOSTER R, ROY D.Robotized and Automated Warehouse Systems[J]. Transportation Science, 2019, 53(4): 917-945.
[3] ALI CHAUDHRY I, ALI KHAN A.A Research Survey: Review of Flexible Job Shop Scheduling Techniques[J]. International Transactions in Operational Research, 2016, 23(3): 551-591.
[4] GANBOLD O, KUNDU K, LI H B, et al.A Simulation-Based Optimization Method for Warehouse Worker Assignment[J]. Algorithms, 2020, 13(12): 326.
[5] LI Y, LI Z Y.Shuttle-Based Storage and Retrieval System: A Literature Review[J]. Sustainability, 2022, 14(21): 14347.
[6] JAGHBEER Y, HANSON R, JOHANSSON M I.Automated Order Picking Systems and the Links between Design and Performance: A Systematic Literature Review[J]. International Journal of Production Research, 2020, 58(15): 4489-4505.
[7] OU S, ISMAIL Z H, SARIFF N.Hybrid Genetic Algorithms for Order Assignment and Batching in Picking System: A Systematic Literature Review[J]. IEEE Access, 2024, 12: 23029-23042.
[8] KUMAR S, NARKHEDE B E, JAIN K.Revisiting the Warehouse Research through an Evolutionary Lens: A Review from 1990 to 2019[J]. International Journal of Production Research, 2021, 59(11): 3470-3492.
[9] ZHEN L, LI H L.A Literature Review of Smart Warehouse Operations Management[J]. Frontiers of Engineering Management, 2022, 9(1): 31-55.
[10] SAINI R, VAIDYA O S, VENKITASUBRAMONY R.Simulation to Analyse Warehouse Operational Performance: A Systematic Literature Review[J]. Journal of Simulation, 2025, 19(4): 455-481.
[11] KıZıLıRMAK E B, ÖZTAŞ S, ÇAĞLAYAN N, et al. Design and Performance Measures of AVS/R Systems: A Bibliometric Literature Review[J]. Archives of Computational Methods in Engineering, 2024, 31(6): 3455-3472.
[12] TAN S J, ONG L Y, LEOW M C.A Systematic Review on Automated Warehouse with Multiple-Deep Rack[J]. IEEE Access, 2025, 13: 40103-40114.
[13] EKREN B Y, KAYA B, KÜÇÜKYAŞAR M. Shuttle-Based Storage and Retrieval Systems Designs from Multi-Objective Perspectives: Total Investment Cost, Throughput Rate and Sustainability[J]. Sustainability, 2023, 15(1): 762.
[14] 刘刚, 王艳艳, 黄珂, 等. 穿梭车自动存取系统任务调度算法适配性研究[J]. 计算机集成制造系统, 2022, 28(5): 1435-1448.
LIU G, WANG Y Y, HUANG K, et al.Adaptability of Task Scheduling Algorithm for Shuttle-Based Storage and Retrieval System[J]. Computer Integrated Manufacturing Systems, 2022, 28(5): 1435-1448.
[15] 张晓清. 双深位多层穿梭车系统出库作业优化研究[D]. 济南: 山东大学, 2018.
ZHANG X Q.Research on Optimization of Retrieval Operation on Double-Deep Multi-Tier Shuttle System[D]. Jinan: Shandong University, 2018.
[16] ARSLAN B, EKREN B Y.Transaction Selection Policy in Tier-to-Tier SBSRS by Using Deep Q-Learning[J]. International Journal of Production Research, 2023, 61(21): 7353-7366.
[17] 刘瑞萍. 四向穿梭车仓储系统调度优化研究[D]. 长春: 吉林大学, 2020.
LIU R P.Research on Scheduling Optimization of Four-Way Shuttle-Based Storage and Retrieval Systems[D]. Changchun: Jilin University, 2020.
[18] ZHANG Z W, WANG J R, JIN J, et al.Research on Task Allocation in Four-Way Shuttle Storage and Retrieval Systems Based on Deep Reinforcement Learning[J]. Sustainability, 2025, 17(15): 6772.
[19] EDER M.An Approach for Performance Evaluation of SBS/RS with Shuttle Vehicles Serving Multiple Tiers of Multiple-Deep Storage Rack[J]. The International Journal of Advanced Manufacturing Technology, 2020, 110(11): 3241-3256.
[20] 金彦彤. 跨层穿梭车仓储系统作业调度优化研究[D]. 兰州: 兰州交通大学, 2022.
JIN Y T.Job Scheduling Optimization of Cross-Tier Shuttle-Based Storage System and Retrieval Systems[D]. Lanzhou: Lanzhou Jiaotong University, 2022.
[21] 雷斌. 基于货物混合装箱的双载具跨层穿梭车仓储系统优化研究[D]. 兰州: 兰州交通大学, 2020.
LEI B.Research on Optimization of Double-Loading Tier-to-tier Shuttle-Based Storage and Retrieval Systems Based on Mixed Storage[D]. Lanzhou: Lanzhou Jiaotong University, 2020.
[22] 于巧玉, 吴耀华, 王艳艳. 跨层穿梭车双提升机系统料箱拣选任务调度[J]. 计算机工程与应用, 2020, 56(20): 270-278.
YU Q Y, WU Y H, WANG Y Y.Tasks Scheduling Optimization of Tier-to-Tier Shuttle-Based Storage and Retrieval System with Double Lifts[J]. Computer Engineering and Applications, 2020, 56(20): 270-278.
[23] 雷斌, 金彦彤, 刘海龙. 结合FJSP问题的跨层穿梭车仓储系统作业调度研究[J]. 计算机集成制造系统, 2023, 29(8): 2751-2760.
LEI B, JIN Y T, LIU H L.Job Scheduling of Cross Layer Shuttle-Based Storage System Combined with FJSP Problem[J]. Computer Integrated Manufacturing Systems, 2023, 29(8): 2751-2760.
[24] 李丽, 刘保国, 武照云, 等.四向穿梭车仓储系统出库任务分配[J/OL]. 计算机集成制造系统, 2026: 1-20.[2026-04-01]. https://doi.org/10.13196/j.cims.2025.0094.
LI L, LIU B, WU Z, et al.Task Allocation of Outbound Tasks in Four-way-shuttle based Storage and Retrieval System[J/OL]. Computer Integrated Manufacturing Systems, 2026: 1-20.[2026-04-01]. https://doi.org/10.13196/j.cims.2025.0094.
[25] 许丽丽, 詹燕, 鲁建厦, 等. 四向穿梭车仓储系统复合作业调度优化[J]. 浙江大学学报(工学版), 2023, 57(11): : 2188-2199.
XU L L, ZHAN Y, LU J, et al.Compound Operation Scheduling Optimization in Four-Way Shuttle Warehouse System[J]. Journal of Zhejiang University (Engineering Science), 2023, 57(11): : 2188-2199.
[26] WU Z Y, ZHANG Y X, LI L, et al.Research on Inbound Jobs' Scheduling in Four-Way-Shuttle-Based Storage System[J]. Processes, 2024, 12(1): 223.
[27] MAO J, CHENG J Y, LI X Y, et al.Research on Schedling Optimization of Four-Way Shuttle-Based Storage and Retrieval Systems[J]. Scientific Reports, 2023, 13: 3999.
[28] 张经天, 马莹, 翁迅, 等. 四向穿梭车系统的提升机调度优化[J]. 北京邮电大学学报, 2022, 45(1): : 19-25.
ZHANG J, MA Y, WENG X, et al.Optimization of Hoist Scheduling in Four-Way Shuttle System[J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(1): : 19-25.
[29] 宋振波. 双载位单深位多层穿梭车系统建模与优化[D]. 济南: 山东大学, 2020.
SONG Z B.Modelingand Optimization of Double-Load Single-Deep Multi-Tier Shuttle System[D]. Jinan: Shandong University, 2020.
[30] LERHER T.Travel Time Model for Double-Deep Shuttle-Based Storage and Retrieval Systems[J]. International Journal of Production Research, 2016, 54(9): 2519-2540.
[31] 占翔南. 双深度多层穿梭车仓储系统建模与调度优化研究[D]. 上海: 同济大学, 2023.
ZHAN X N.Research on Modeling and Scheduling Optimization of Double-Deep Multi-Tier Shuttle Warehousing System[D]. Shanghai: Tongji University, 2023.
[32] MAROLT J, KOSANIĆ N, LERHER T.Relocation and Storage Assignment Strategy Evaluation in a Multiple-Deep Tier Captive Automated Vehicle Storage and Retrieval System with Undetermined Retrieval Sequence[J]. The International Journal of Advanced Manufacturing Technology, 2022, 118(9): 3403-3420.
[33] 杨宝龙. 双深位多层穿梭车系统出库作业建模与优化[D]. 济南: 山东大学, 2017.
YANG B L.Modeling & Optimizing of Retrieval Assignment Problem on Double-Deep Multi-Tier Shuttle Warehousing System[D]. Jinan: Shandong University, 2017.
[34] 王颖芝. 双深穿梭车系统的建模与任务调度优化研究[D]. 西安: 西安电子科技大学, 2021.
WANG Y Z.Research on Modeling and Task Scheduling Optimization of Double-Deep Shuttle-Based Storage and Retrieval Systems[D]. Xi'an: Xidian University, 2021.
[35] 王圣潇, 袁堂晓, 柳林燕, 等. 双深位四向穿梭车仓储系统出库任务调度方法[J]. 现代制造工程, 2025(8): 19-30.
WANG S X, YUAN T X, LIU L Y, et al.Outbound Scheduling Optimization for Double-Deep Four-Way Shuttle-Based Storage and Retrieval System[J]. Modern Manufacturing Engineering, 2025(8): 19-30.
[36] 武照云, 何学武, 申发生, 等. 双深度四向穿梭车仓储系统复合作业任务分配研究[J]. 包装工程, 2026, 47(1): 132-142.
WU Z Y, HE X W, SHEN F S, et al.Compound Operation Task Allocation in Double-Depth Four-Way Shuttle Based Storage and Retrieval System[J]. Packaging Engineering, 2026, 47(1): 132-142.
[37] 占翔南, 徐立云, 凌旭峰, 等. 多深度四向穿梭车仓储系统调度优化[J]. 计算机集成制造系统, 2022, 28(8): 2496-2507.
ZHAN X N, XU L Y, LING X F, et al.Scheduling Optimization of Multi-Deep Four-Way Shuttle Warehousing System[J]. Computer Integrated Manufacturing Systems, 2022, 28(8): 2496-2507.
[38] ROY D, KRISHNAMURTHY A, HERAGU S S, et al.A Simulation Framework for Studying Blocking Effects in Warehouse Systems with Autonomous Vehicles[J]. European J of Industrial Engineering, 2016, 10(1): 51.
[39] WANG Y Y, MOU S D, WU Y H.Task Scheduling for Multi-Tier Shuttle Warehousing Systems[J]. International Journal of Production Research, 2015, 53(19): 5884-5895.
[40] 赵彬彬. 四向穿梭车仓储系统货位分配与任务指派研究[D]. 郑州: 河南工业大学, 2025.
ZHAO B B.Research on Storage Location Allocation and Task Assignment in Four-Way Shuttle-Based Storage and Retrieval System[D]. Zhengzhou: Henan University of Technology, 2025.
[41] REN C H, YAN Q, LIU Z.Scheduling Optimisation in a Multi-Deep Tier-to-Tier Four-Way Shuttle Storage and Retrieval System[J]. Computers & Industrial Engineering, 2025, 204: 111095.
[42] REN C H, LU J S, SHAO Y P, et al.Scheduling Optimization of Tier-Captive Four-Way Shuttle-Based Storage and Retrieval Systems with Multiple Lifts[J]. Engineering Optimization, 2025, 57(2): 459-477.
[43] DENG L, CHEN L, ZHAO J J, et al.Modeling and Performance Analysis of Shuttle-Based Compact Storage Systems under Parallel Processing Policy[J]. PLoS One, 2021, 16(11): e0259773.
[44] EKREN B Y.Transaction Processing Policies in a Flexible Shuttle-Based Storage and Re-Trieval System by Real-Time Data Tracking under Agent-Based Modelling[J]. International Journal of Mathematical, Engineering and Management Sciences, 2023, 8(6): 1083-1112.
[45] ZHANG R, WANG Z, AN Y X.Research on Multi-Objective Dynamic Task Scheduling of Cross-Aisles Multi-Layer Shuttle Truck Storage System Based on Elite Strategy[C]//Proceedings of the MATEC Web of Conferences.[s. l.]: EDP Sciences, 2020.
[46] FUKUNARI M, MALMBORG C J.A Network Queuing Approach for Evaluation of Performance Measures in Autonomous Vehicle Storage and Retrieval Systems[J]. European Journal of Operational Research, 2009, 193(1): 152-167.
[47] ZHAN X N, XU L Y, LING X F.Task Scheduling Problem of Double-Deep Multi-Tier Shuttle Warehousing Systems[J]. Processes, 2021, 9(1): 41.
[48] 黄珂. 穿梭车仓储系统任务调度算法适配性与参数配置分析[D]. 济南: 山东大学, 2020.
HUANG K.Analysis on Adaptability of Task Scheduling Algorithm and Parameter Configuration for Shuttle-Based Storage and Retrieval System[D]. Jinan: Shandong University, 2020.
[49] 张娜. 跨层穿梭车系统建模与优化[D]. 济南: 山东大学, 2018.
ZHANG N.Modeling and Optimization of Tier-to-Tier Shuttle-Based Storage and Retrieval System[D]. Jinan: Shandong University, 2018.
[50] QIU Z H, LONG J C, YU Y, et al.Integrated Task Assignment and Path Planning for Multi-Type Robots in an Intelligent Warehouse System[J]. Transportation Research Part E: Logistics and Transportation Review, 2025, 194: 103883.
[51] CHEN R, YANG J J, YU Y G, et al.Retrieval Request Scheduling in a Shuttle-Based Storage and Retrieval System with Two Lifts[J]. Transportation Research Part E: Logistics and Transportation Review, 2023, 174: 103117.
[52] YUAN R P, LI J T, WANG X L, et al.Multirobot Task Allocation in E-Commerce Robotic Mobile Fulfillment Systems[J]. Mathematical Problems in Engineering, 2021, 2021(1): 6308950.
[53] ASMA A, SADOK B.PSO-Based Dynamic Distributed Algorithm for Automatic Task Clustering in a Robotic Swarm[J]. Procedia Computer Science, 2019, 159: 1103-1112.
[54] DOU J J, CHEN C L, YANG P.Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses[J]. Mathematical Problems in Engineering, 2015, 2015(1): 597956.
[55] EKREN B Y, ARSLAN B.A Reinforcement Learning Approach for Transaction Scheduling in a Shuttle-Based Storage and Retrieval System[J]. International Transactions in Operational Research, 2024, 31(1): 274-295.
[56] 杨淇. 基于Q-learning的自动化仓储系统自适应调度研究[D]. 杭州: 杭州电子科技大学, 2025.
YANG Q.Research on Adaptive Scheduling of Automated Warehousing System Based on Q-Learning[D]. Hangzhou: Hangzhou Dianzi University, 2025.
[57] GONG A C, YANG K, LYU J F, et al.A Two-Stage Reinforcement Learning-Based Approach for Multi-Entity Task Allocation[J]. Engineering Applications of Artificial Intelligence, 2024, 136: 108906.
[58] LI M P, SANKARAN P, KUHL M E, et al.Task Selection by Autonomous Mobile Robots in a Warehouse Using Deep Reinforcement Learning[C]//Proceedings of the 2019 Winter Simulation Conference (WSC). National Harbor: IEEE, 2019.
[59] TAMPUU A, MATIISEN T, KODELJA D, et al.Multiagent Cooperation and Competition with Deep Reinforcement Learning[J]. PLoS One, 2017, 12(4): e0172395.
[60] KURUPPU A P, KARUNANANDA A S.Multi-Agent Reinforcement Learning Based Warehouse Task Assignment[C]//Proceedings of the 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). Ratmalana: IEEE, 2024.

基金

河南省科技研发计划联合基金项目(252103810220); 国家自然科学基金(12072106); 河南省科技攻关项目(262102240093)

PDF(2223 KB)

Accesses

Citation

Detail

段落导航
相关文章

/