Analysis of the Shuttle-Based Storage and Retrieval System

Zhao, Xiaofeng; Zhang, Rongxu; Zhang, Na; Wang, Yanyan; Jin, Mingzhou; Mou, Shandong

doi:10.1109/access.2020.3014102

Cited by 10 publications

(3 citation statements)

References 44 publications

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“…Although AS/RS has been widely adopted for years, the research on its operational decision is still of great value, which can provide basic references for various warehouse technologies in smart warehouses. Today, AS/RS has evolved into an efficient system with many variants, including AVS/RS (Lerher et al, 2021), SBS/RS (Zhao et al, 2020a;Yetkin Ekren and Akpunar, 2021), compact AS/RS (Hao et al, 2015;Xu et al, 2018;Kumawat and Roy, 2021), and puzzle-based storage and retrieval system (Mirzaei et al, 2017;Yalcin et al, 2019). The system configuration of AS/RS and its variants can be affected by many factors, such as the configuration of rack (Yetkin Ekren, 2017), aisle (Roy et al, 2015a;Manzini et al, 2016), cross-aisle (Tutam and White, 2019a), space (Derhami et al, 2019), tier (Tappia et al, 2017), shape (Tappia et al, 2017;Tutam and White, 2019b), depot (Gharehgozli et al, 2017;Gharehgozli et al, 2021), shuttles (Ha and Chae, 2019), and pick position (Liu et al, 2021).…”

Section: Equipment Automationmentioning

confidence: 99%

A literature review of smart warehouse operations management

Zhen

2022

Front. Eng. Manag.

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E-commerce, new retail, and other changes have highlighted the requirement of high efficiency and accuracy in the logistics service. As an important section in logistics and supply chain management, warehouses need to respond positively to the increasing requirement. The “smart warehouse” system, which is equipped with emerging warehousing technologies, is increasingly attracting the attention of industry and technology giants as an efficient solution for the future of warehouse development. This study provides a holistic view of operations management problems within the context of smart warehouses. We provide a framework to review smart warehouse operations management based on the characteristics of smart warehouses, including the perspectives of information interconnection, equipment automation, process integration, and environmental sustainability. A comprehensive review of relevant literature is then carried out based on the framework with four perspectives. This study could provide future research directions on smart warehouses for academia and industry practitioners.

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Section: Equipment Automationmentioning

confidence: 99%

A literature review of smart warehouse operations management

Zhen

2022

Front. Eng. Manag.

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“…On the other hand, multi-echelon itineraries for items to retrieve or store are often encountered when dealing with specific automatic parts-to-picker warehousing systems, such as the shuttle-based ones. Research on such systems is largely addressed, see the recent contributions of Tappia et al (2019); Küçükyaşar et al (2020); Wang et al (2020); Zhao et al (2020).…”

Section: Multi-fleet and Two-echelon Srpsmentioning

confidence: 99%

Sequencing and routing in a large warehouse with high degree of product rotation

2022

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The paper deals with a sequencing and routing problem originated by a real-world application context. The problem consists in defining the best sequence of locations to visit within a warehouse for the storage and/or retrieval of a given set of items during a specified time horizon, where the storage/retrieval location of an item is given. Picking and put-away of items are simultaneously addressed, by also considering some specific requirements given by the layout design and operating policies which are typical in the kind of warehouses under study. Specifically, the considered sequencing policy prescribes that storage locations must be replenished or emptied one at a time by following a specified order of precedence. Moreover, two fleet of vehicles are used to perform retrieving and storing operations, whose routing is restricted to disjoint areas of the warehouse. We model the problem as a constrained multicommodity flow problem on a space-time network, and we propose two Mixed-Integer Linear Programming formulations, whose primary goal is to minimize the time traveled by the vehicles during the time horizon. Since large-size realistic instances are hardly solvable within the time limit commonly imposed in the considered application context, a matheuristic approach based on a time horizon decomposition is proposed. Finally, we provide an extensive experimental analysis aiming at identifying suitable parameter settings for the proposed approach, and testing the matheuristic on particularly hard realistic scenarios. The computational experiments show the efficacy and the efficiency of the proposed approach.

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“…For the shuttle-based storage and retrieval systems (SBS/RS), some studies focus on the system design, energy consumption and scheduling process. For instance, Zhao et al [ 14 ] use a semi-open queueing network (SOQN) to model a tier-to-tier SBS/RS system to identify the optimal number of shuttles and provide some insights in system design. Through simulation analysis, Ha and Chae [ 15 ] propose a free balancing in SBS/RS systems to prevent collisions and blockages and achieve the targeted system throughput with an optimal number of shuttles.…”

Section: Introductionmentioning

confidence: 99%

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

Deng

Chen

Zhao³

et al. 2021

PLoS ONE

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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.

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Analysis of the Shuttle-Based Storage and Retrieval System

Cited by 10 publications

References 44 publications

A literature review of smart warehouse operations management

A literature review of smart warehouse operations management

Sequencing and routing in a large warehouse with high degree of product rotation

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

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