Analytical model to estimate the performance of shuttle-based storage and retrieval systems with class-based storage policy

被引:17
作者
Eder, Michael [1 ]
机构
[1] Vienna Univ Technol, Inst Engn Design & Prod Dev, Getreidemarkt 9, A-1060 Vienna, Austria
关键词
Automated warehouse; Shuttle-based storage and retrieval system; Analytical and numerical modelling; Performance analysis; Class-based storage policy; AUTONOMOUS VEHICLE STORAGE; THROUGHPUT; DESIGN;
D O I
10.1007/s00170-020-04990-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a method to determine the performance of shuttle-based storage and retrieval systems (SBS/RS) with tier-captive single-aisle shuttles and class-based storage policy. The use of this approach takes place both in the design process of SBS/RS and in the redesign process of SBS/RS. With this approach, it is possible to evaluate performance improvement by applying a class-based storage policy. Another beneficial scope of application of this approach is the evaluation of the placement of different classes throughout the rack to achieve the maximum throughput. The basis of this calculation method was a continuous-time open-queueing model with limited capacity. The cycle times of lifts and shuttles, as determined by a spatial value approach combined with a probability-based approach to mention the storage policy, could be directly used in the presented method with their time distributions. The data used herein were provided by a European material handling provider. An example was presented to outline how this calculation model can be used for optimizing the already existing SBS/RS via the application of a class-based storage policy. Through the example, depending on the configuration of the policy, applying the class-based storage to an existing SBS/RS would increase the throughput by up to twice the throughput without class-based storage policy.
引用
收藏
页码:2091 / 2106
页数:16
相关论文
共 16 条
[1]   Sequencing dynamic storage systems with multiple lifts and shuttles [J].
Carlo, Hector J. ;
Vis, Iris F. A. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2012, 140 (02) :844-853
[2]  
Eder M, 2016, BERECHNUNGSMODELLS L, V2016
[3]   An analytical approach for a performance calculation of shuttle-based storage and retrieval systems [J].
Eder, Michael .
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2019, 7 (01) :255-270
[4]   Calculation Method to Determine the Throughput and the Energy Consumption of S/R Shuttle Systems [J].
Eder, Michael ;
Kartnig, Georg .
FME TRANSACTIONS, 2018, 46 (03) :424-428
[5]   Throughput Analysis of S/R Shuttle Systems and Ideal Geometry for High Performance [J].
Eder, Michael ;
Kartnig, Georg .
FME TRANSACTIONS, 2016, 44 (02) :174-179
[6]   Warehouse Design under Class-Based Storage Policy of Shuttle-Based Storage and Retrieval System [J].
Ekren, B. Y. ;
Sari, Z. ;
Lerher, T. .
IFAC PAPERSONLINE, 2015, 48 (03) :1152-1154
[7]   A discrete-time queueing network approach to performance evaluation of autonomous vehicle storage and retrieval systems [J].
Epp, Martin ;
Wiedemann, Simon ;
Furmans, Kai .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2017, 55 (04) :960-978
[8]   Analytical models for analysis of automated warehouse material handling systems [J].
Heragu, Sunderesh S. ;
Cai, Xiao ;
Krishnamurthy, Ananth ;
Malmborg, Charles J. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (22) :6833-6861
[9]   Impact of Class-Based Storage, Sequencing of Retrieval Requests and Warehouse Reorganisation on Throughput of Shuttle-Based Storage and Retrieval Systems [J].
Kriehn, Thomas ;
Schloz, Franziska ;
Wehking, Karl-Heinz ;
Fittinghoff, Markus .
FME TRANSACTIONS, 2018, 46 (03) :320-329
[10]  
Kuo PH, 2008, INT J COMPUT APPL T, V31, P238