Model of a multiple-deep automated vehicles storage and retrieval system following the combination of Depth-First storage and Depth-First relocation strategies

Marolt, Jakob; Šinko, Simona; Lerher, Tone

doi:10.1080/00207543.2022.2087568

Cited by 10 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…This paper evaluates the throughput and other performance of SBS/RS through a continuous-time, Open-Queuing-Network (OQN) system based on limited capacity. In AVS/RS, similar to SBS/RS, some scholars have proposed a multi-deep system [15]. This article provides an analytical model for Depth-First (DF) storage and DF relocation strategy, which allows storage system designers to evaluate rack performance of multi-deep AVS/RS without the need for simulation results.…”

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

View full text Add to dashboard Cite

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.

show abstract

Design and Operation of Single- and Multi-deep Shuttle-Based Storage and Retrieval Systems (SBS/RS)

Lerher,

Marolt,

Sgarbossa

et al. 2024

Warehousing and Material Handling Systems for the Digital Industry

View full text Add to dashboard Cite

Model of a multiple-deep automated vehicles storage and retrieval system following the combination of Depth-First storage and Depth-First relocation strategies

Cited by 10 publications

References 20 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

Design and Operation of Single- and Multi-deep Shuttle-Based Storage and Retrieval Systems (SBS/RS)

Contact Info

Product

Resources

About