Cited by 15Advanced Manufacturing and Logistics OptimizationSupply Chain and Inventory ManagementMaritime Ports and Logistics

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Impact of class-based storage, sequencing of retrieval requests and warehouse reorganisation on throughput of shuttle-based storage and retrieval systems

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Abstract

Shuttle-based storage and retrieval systems (SBS/RS) are an important part of automated warehouses. SBS/RS are often used if throughput demand is high. SBS/RS can have significant advantages compared to crane-based automated storage and retrieval systems (AS/RS) with regard to throughput, energy efficiency and flexibility, depending on the application. Therefore, in the last ten years, the market for SBS/RS has grown considerably. Research of SBS/RS has not been as thorough as in the case of AS/RS. In particular, the development and investigation of the storage management policies class-based storage, sequencing of retrieval requests and warehouse reorganization and the resulting throughput increases and reductions in energy consumption during their application have considerable potential. This paper demonstrates the potential for throughput improvement in the application of these storage management policies. A simulation model is used to determine the throughput. The results show that significant optimization of the throughput is achieved by the application of the presented storage management policies.

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References 21 · Cited by 15

Research works printed but not linked: 24

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Metadata

Authors
Kriehn, T., Schloz, F., Wehking, K.-H., & Fittinghoff, M.
Affiliations
  • Heilbronn University (DE)
  • University of Stuttgart (DE)
Corresponding author
Kriehn, Thomas
Venue
FME Transaction
Published
2018
Volume
46
Issue
3
Pages
320-329
ISSN
  • 1451-2092 (ISSN-L)
  • 2406-128X
OpenAlex
W2807585964
Cited by
15
References
21
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 6
FWCI
1.35
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • FME Transaction (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Advanced Manufacturing and Logistics Optimization
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Supply Chain and Inventory Management
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Maritime Ports and Logistics
Keywords
automated storage and retrieval systems, class-based storage, throughput, energy consumption, automated warehouses

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