Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy

Short response time for order processing is important for modern warehouses, which can be potentially achieved by adopting appropriate processing policy. The parallel processing policy have advantages in improving performance of many autonomous storage and retrieval systems. However, researchers ten...

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Autores principales: Lei Deng, Lei Chen, Jingjie Zhao, Ruimei Wang
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/61bb67e7a1204261ae5e1ed7e7089749
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spelling oai:doaj.org-article:61bb67e7a1204261ae5e1ed7e70897492021-11-25T06:10:54ZModeling and performance analysis of shuttle-based compact storage systems under parallel processing policy1932-6203https://doaj.org/article/61bb67e7a1204261ae5e1ed7e70897492021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592453/?tool=EBIhttps://doaj.org/toc/1932-6203Short response time for order processing is important for modern warehouses, which can be potentially achieved by adopting appropriate processing policy. The parallel processing policy have advantages in improving performance of many autonomous storage and retrieval systems. However, researchers tend to assume a sequential processing policy managing the movement of independent resources in shuttle-based compact storage systems. This paper models and analyses a single-tier of specialized shuttle-based compact storage systems under parallel processing policy. The system is modeled as a semi-open queueing network with class switching and the parallel movement of shuttles and the transfer car is modeled using a fork-join queueing network. The analytical model is validated against simulations and the results show our model can accurately estimate the system performance. Numerical experiments and a real case are carried out to compare the performance of parallel and sequential processing policies. The results suggest a critical transaction arrival rate and depth/width ratio, below which the sequential processing policy outperforms the parallel processing policy. However, the advantage of sequential processing policy is decreasing with the increasing of shuttle number, transaction arrival rate and depth/width ratio. The results also suggest an optimal depth/width ratio with a value of 1.75 for minimizing the expected throughput time in the real system. Given the current system configurations, the parallel processing policy should be considered when the number of shuttles is larger than 2 or the transaction arrival rate is larger than 24 per hour.Lei DengLei ChenJingjie ZhaoRuimei WangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Lei Deng
Lei Chen
Jingjie Zhao
Ruimei Wang
Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
description Short response time for order processing is important for modern warehouses, which can be potentially achieved by adopting appropriate processing policy. The parallel processing policy have advantages in improving performance of many autonomous storage and retrieval systems. However, researchers tend to assume a sequential processing policy managing the movement of independent resources in shuttle-based compact storage systems. This paper models and analyses a single-tier of specialized shuttle-based compact storage systems under parallel processing policy. The system is modeled as a semi-open queueing network with class switching and the parallel movement of shuttles and the transfer car is modeled using a fork-join queueing network. The analytical model is validated against simulations and the results show our model can accurately estimate the system performance. Numerical experiments and a real case are carried out to compare the performance of parallel and sequential processing policies. The results suggest a critical transaction arrival rate and depth/width ratio, below which the sequential processing policy outperforms the parallel processing policy. However, the advantage of sequential processing policy is decreasing with the increasing of shuttle number, transaction arrival rate and depth/width ratio. The results also suggest an optimal depth/width ratio with a value of 1.75 for minimizing the expected throughput time in the real system. Given the current system configurations, the parallel processing policy should be considered when the number of shuttles is larger than 2 or the transaction arrival rate is larger than 24 per hour.
format article
author Lei Deng
Lei Chen
Jingjie Zhao
Ruimei Wang
author_facet Lei Deng
Lei Chen
Jingjie Zhao
Ruimei Wang
author_sort Lei Deng
title Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
title_short Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
title_full Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
title_fullStr Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
title_full_unstemmed Modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
title_sort modeling and performance analysis of shuttle-based compact storage systems under parallel processing policy
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/61bb67e7a1204261ae5e1ed7e7089749
work_keys_str_mv AT leideng modelingandperformanceanalysisofshuttlebasedcompactstoragesystemsunderparallelprocessingpolicy
AT leichen modelingandperformanceanalysisofshuttlebasedcompactstoragesystemsunderparallelprocessingpolicy
AT jingjiezhao modelingandperformanceanalysisofshuttlebasedcompactstoragesystemsunderparallelprocessingpolicy
AT ruimeiwang modelingandperformanceanalysisofshuttlebasedcompactstoragesystemsunderparallelprocessingpolicy
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