A method of system selection for shuttle-based storage and retrieval system considering cost and performance

被引:1
|
作者
Yang, Dong [1 ]
Ren, Ruyan [1 ]
机构
[1] Shandong Univ Technol, Business Sch, Zibo, Peoples R China
关键词
System selection; Shuttle-based storage and retrieval sytem; Heuristic algorithm; Cost; AUTONOMOUS VEHICLE STORAGE; AUTOMATED STORAGE; DWELL-POINT; TIME MODEL; DESIGN;
D O I
10.1007/s10586-023-04175-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The shuttle-based storage/retrieval system (SBS/RS) is a new type of automatic warehouse system. More and more enterprises choose it because of its dense storage structure, small footprint, high efficiency, and many other advantages. Each enterprise has different requirements for system efficiency, the number of storage units, and the size of the warehouse. It makes sense to study the design of the minimum cost Shuttle-Based Storage/Retrieval System under the limitation of warehouse space size to meet enterprise requirements on the number of cargos and enterprise needs on system efficiency. An optimization model to minimize the system cost is established, and a heuristic algorithm is designed in this paper. Through the experiment, we identified that different system selection schemes and the configuration of facilities in the system under different throughput capacity requirements. The relationship between the system's total cost, unit cost, and design scheme of the system is found. This study can guide designers and planners to design a more reasonable system. Under the different needs of enterprises, build a Shuttle-Based Storage/Retrieval System with the lowest cost.
引用
收藏
页码:3703 / 3716
页数:14
相关论文
共 50 条
  • [1] Analysis of the Shuttle-Based Storage and Retrieval System
    Zhao, Xiaofeng
    Zhang, Rongxu
    Zhang, Na
    Wang, Yanyan
    Jin, Mingzhou
    Mou, Shandong
    [J]. IEEE ACCESS, 2020, 8 : 146154 - 146165
  • [2] Shuttle-Based Storage and Retrieval System: A Literature Review
    Li, Yi
    Li, Zhiyang
    [J]. SUSTAINABILITY, 2022, 14 (21)
  • [3] Free balancing for a shuttle-based storage and retrieval system
    Ha, Yunsoo
    Chae, Junjae
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2018, 82 : 12 - 31
  • [4] Modelling and design for a shuttle-based storage and retrieval system
    Wu, Yingying
    Zhou, Chen
    Ma, Wenkai
    Kong, Xiang T. R.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2020, 58 (16) : 4808 - 4828
  • [5] Graph-based solution for performance evaluation of shuttle-based storage and retrieval system
    Ekren, Banu Yetkin
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (21) : 6516 - 6526
  • [6] Retrieval request scheduling in a shuttle-based storage and retrieval system with two lifts
    Chen, Ran
    Yang, Jingjing
    Yu, Yugang
    Guo, Xiaolong
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 174
  • [7] Order dividing optimisation in crane & shuttle-based storage and retrieval system
    Ma, Wenkai
    Yang, Dong
    Wu, Yingying
    Wu, Yaohua
    [J]. JOURNAL OF CONTROL AND DECISION, 2023, 10 (02) : 215 - 228
  • [8] Adaptability of task scheduling algorithm for shuttle-based storage and retrieval system
    Liu, Gang
    Wang, Yanyan
    Huang, Ke
    Man, Rongjun
    Wu, Yaohua
    [J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (05): : 1435 - 1448
  • [9] A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system
    Ekren, Banu Y.
    Akpunar, Anil
    Sari, Zaki
    Lerher, Tone
    [J]. APPLIED MATHEMATICAL MODELLING, 2018, 63 : 109 - 127
  • [10] An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system
    Ekren, Banu Y.
    Akpunar, Antl
    [J]. APPLIED MATHEMATICAL MODELLING, 2021, 89 : 1678 - 1695