Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence

Marolt, Jakob; Kosanić, Nenad; Lerher, Tone

doi:10.1007/s00170-021-08169-x

Cited by 15 publications

(4 citation statements)

References 21 publications

(60 reference statements)

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“…One of the increasingly adopted configurations of SBS/RS, namely multipledeep, allows the storage of multiple ULs by equipping the shuttle with a satellite. Marolt et al (2022) and Marolt et al (2023) provided models and different storage and relocation strategies for calculating and improving throughput in a multipledeep SBS/RS, while its single-and dual-command time modeling are presented by Kosanić et al (2023).…”

Section: Sbs/rs Literaturementioning

confidence: 99%

Balancing picking and outbound loading efficiency in an SBS/RS through a digital twin

Guerrazzi,

Mininno,

Aloini

2024

Flex Serv Manuf J

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Warehouses are essential elements of almost every Supply Chain and have a significant impact on its performance. However, existing research on warehouse operations mainly aims at maximizing operational performance, neglecting their effect on downstream nodes. In this paper, we propose the use of a digital twin (DT) to support warehouse managers to identify the picking policy that most effectively balances picking and outbound loading efficiencies in an SBS/RS, with the aim of providing both a cost-effective and timely delivery to the subsequent nodes. The problem is set referring to a real case study of the logistics hub of a tire distributor company. The DT was built and validated based on real data from plant sensors and information systems. Afterwards, the DT was used to define three picking strategies that differently impact on both picking and outbound loading efficiency. The DT was then employed on a daily basis and fed with real orders, machine and rack availability to replicate stocking and picking operations and to directly communicate the recommended picking strategy to the warehouse PLC. Several demand scenarios have been considered to extend managerial inferences. Results show that the DT is a valuable tool to support the balancing of picking and outbound loading performance.

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Section: Sbs/rs Literaturementioning

confidence: 99%

Balancing picking and outbound loading efficiency in an SBS/RS through a digital twin

Guerrazzi,

Mininno,

Aloini

2024

Flex Serv Manuf J

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“…However, since the DF storage strategy is to place the goods in the deepest empty position, this is in reality not an optimal choice. In another paper presented by Marolt [16], a new simulation model is proposed based on three storage methods: Nearest-neighbor storage method, DF method, and random storage method. In multi-deep AVS/RS, nine strategies can be combined.…”

Section: Depthmentioning

confidence: 99%

“…System Depth [6] SBS/RS Double-deep [14] SBS/RS Multi-deep [15] AVS/RS Multi-deep [16] AVS/RS Multi-deep…”

Section: Referencesmentioning

confidence: 99%

Shuttle-Based Storage and Retrieval System: A Literature Review

2022

Sustainability

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While the e-commerce logistics industry is developing rapidly, its sustainable development has received certain attention. The ultimate goal of sustainable development is to achieve common, coordinated, fair, efficient, and multi-dimensional development. To promote the sustainable development of logistics, the automation technology of warehousing is undoubtedly an excellent breakthrough, since the automation technology can not only make the warehousing system efficient and with a low-error rate, but also affect the energy consumption of the warehousing system. This paper studies the Shuttle-Based Storage and Retrieval System (SBS/RS) in automated warehousing. Moreover, the paper classifies the existing literature into three categories: Physical design (including depth, configuration, and number of tiers); control strategy (including scheduling rules, storage strategies, scheduling command, and interference); and performance evaluation (including throughput, time, and energy). These categories are all factors that warehouse designers must consider when designing a system. Finally, this paper proposes future research directions for SBS/RS: Adding speed metrics, limiting buffer size, targeting space constraints, applying four-way shuttles, and increasing the carrying capacity of a single machine.

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“…One of the most challenging issues is to support the general results and guidelines for the design, management, and optimization of AVS/RS. The LIBS models the system using commercial digital twin platforms such as Automod [4][5][6], Arena [1,[7][8][9], and Simulink [10].…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid model for the design of a deep-lane multisatellite AVS/RS

Battarra

Accorsi

Manzini

et al. 2022

Int J Adv Manuf Technol

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The autonomous vehicle storage and retrieval system (AVS/RS) significantly improves the responsiveness and throughput of the traditional automated storage and retrieval system (AS/RS) in regard to handling unit loads. The AVS/RS consists of multiple tiers connected to an elevator system and is equipped with at least two autonomous vehicles, that is, a shuttle and satellite. Other necessary equipment are the lifts and input/output buffer areas. This paper aims to present and apply an original hybrid analytical-simulative model for the design of a deep-lane and multisatellite AVS-RS by evaluating and controlling the system performance. This AVS-RS is equipped with multiple free and non-free satellites for each tier. As an original contribution, this study reviews the literature on AVS/RS according to the introduction of multiple features categorized into five homogeneous groups: (1) rack configuration, (2) vehicle kinematics and configuration, (3) dispatching rules, (4) modeling approach, and (5) validation. Two of the most critical issues in existing research studies are the random arrival time of storage and retrieval transactions and the random storage policy. The proposed modeling approach is data-driven and based on realistic assumptions, filling the gap between the literature and real applications. This hybrid model is applied to a case study of the beverage industry according to a what-if comparative and competitive multiscenario analysis. This data-driven assessment supports the decision-making process on the number of satellites for each tier, while simultaneously controlling the service and waiting times, system throughput, and vehicle utilization. The analysis based on the maximum system throughput estimation demonstrates that introducing more than two satellites does not increase the productivity of the system.

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Relocation and storage assignment strategy evaluation in a multiple-deep tier captive automated vehicle storage and retrieval system with undetermined retrieval sequence

Cited by 15 publications

References 21 publications

Balancing picking and outbound loading efficiency in an SBS/RS through a digital twin

Balancing picking and outbound loading efficiency in an SBS/RS through a digital twin

Shuttle-Based Storage and Retrieval System: A Literature Review

Hybrid model for the design of a deep-lane multisatellite AVS/RS

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